Journal of Fiber Bioengineering and Informatics
type: channel
description: Journal of Fiber Bioengineering and Informatics (JFBI) is a peer-reviewed international journal to promote multidisciplinary research and collaborations across different fields in fiber science, engineering and technology. This quarterly published journal is fully committed to help authors to generate high impact research outputs in terms of academic citations, industrial applications and contributions to the society. It aims to create an international forum for exchanging novel ideas of research.
publisher: Global Science Press
language: en
publication name: Journal of Fiber Bioengineering and Informatics
issn: 1940-8676
items: A Lightweight Diffusion Framework for Cultural Pattern Generation Using LoRA
items: Mapping Global Research on Sustainable Textile Materials: A Comparative Bibliometric Study of China and International Literature
items: Natural Mordants in Focus: A Comparative Study of Alum and Calcium Hydroxide in Cotton Dyeing with Senna Siamea Heartwood
items: Design Guidelines for Accessible Dining Apparel for the Visually Impaired: Toward Inclusive and Sustainable Fashion
items: Comparison of Support and Clothing Pressure Distribution in Japanese and Australian Maternity Support Garments
items: Optimising Natural Dyeing of Cotton with Butea Monosperma Through Anodic Pretreatment and Eco-Friendly Auxiliaries
items: Evaluating the Impact of Blended Learning on Self-Directed Learning and Critical Thinking in Taiwanese Fashion Design Education
items: Sun-Protective Clothing Design for Wheelchair Users: Integrating Function and Accessibility
items: An Intelligent Framework for Multi-Scenario Fabric Selection in Cycling Apparel: A User-Expert Dual-Driven Approach
items: Advances of Functional Inks for Printed E-Textiles
items: Biomimicry of Fibrous Materials: The Thermal Conductivity and morphology of Man-Made and Natural Fibrous Materials
items: Extraction of Natural Dye from Phellodendron Amurense and Its Photofading
items: Fillers Compounding and Process Optimization of Polyamide Wet-coating
items: Evaluation and Comparison of Acoustic Performance and Thermal Conductivity of Spacer Fabrics
items: Development & Characterization of Alginate/Graphene Oxide Fibers with Improved Electrical Conductivity
items: Influence of Fabric Properties on Clothing Thermal Comfort under Different Environmental Temperatures
items: Garment Pleats Modeling and Force Analysis Based on Different Yarn Directions
items: Relationship between Ease and Thermal Insulation of Men's Pyjamas Made of a Knitted Fabric with New Cotton Non-Twisted Hollow Yarn
items: Application of Visual Illusion Patterns on Modern Women's Knitwear Design
items: Representation and Application of Jacket Knowledge Based on Domain Ontology
items: Fabrication and Characterization of Electrospun Nanofibrous Composite Membrane for Air Filtration
items: Effect of Configuration of Protective Fabrics on Thermal Protective Performance under Steam Exposure
items: Grafting of Poly (Cysteine Methacrylate) Brush from Polysulfone Membrane via Surface-Initiated ATRP and Their Anti-Protein Fouling Property
items: Structural Design and Fabrication of Silk/Polyester-Based Bifurcated Stent-Graft
items: Thermal Insulation Properties of Electrospun Nanofibrous Layers
items: Gender Comparison of Image Perception and Preferences for Spring • Summer Shirt Yarn-dyed Fabrics
items: Part Recognition Method Based on Visual Selective Attention Mechanism and Deep Learning
items: Adjacent Local Binary Patterns Based on Color Space Fusion for Color Image Classification
items: Research on Non-rigid Structure from Motion: A Literature Review
items: A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status

A Lightweight Diffusion Framework for Cultural Pattern Generation Using LoRA
type: item
description: Atlas patterns, a representative element of Uyghur intangible textile heritage from Xinjiang, are renowned for their vibrant colors and intricate symbolic structures. However, existing generative AI approaches often struggle to replicate their cultural semantics or require significant computational resources. This study addresses these limitations by proposing a low-resource, high-fidelity generation method based on Low-Rank Adaptation (LoRA) applied to the Stable Diffusion (SD) model. A categorized dataset of 103 Atlas pattern images was constructed and annotated using Peirce’s semiotic framework, including Iconographic, Directional, and Cultural Semiotic categories. LoRA modules were used to fine-tune the U-Net component of SD, substantially reducing training complexity and memory usage. Experimental results demonstrate that under optimal parameters (epoch = 100, batch size = 2, U-Net learning rate = $8 × 10^{−4}),$ the model achieves superior performance in MSE, PSNR, and SSIM compared to the base model. The generated patterns effectively reflect the geometric symmetry and cultural motifs of traditional Atlas textiles. This research highlights the practical potential of LoRA-adapted diffusion models in preserving and innovating cultural heritage, especially in the fields of digital fashion, pattern design, and virtual cultural applications.
subject: Articles
  topic: section
subject: Atlas Patterns
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Pattern Design
  topic: keywords
subject: Low-Rank Adaptation
  topic: keywords
subject: Cultural Heritage
  topic: keywords
creator: Jin-Song Wang
creator: Xiao-Yu Xin
creator: Shuai-Shuai Qi
creator: Ge-Li Qin
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 337
ending page: 348
doi: 10.3993/jfbim01883

Mapping Global Research on Sustainable Textile Materials: A Comparative Bibliometric Study of China and International Literature
type: item
description: At present, the world is facing a critical stage of sustainable development transformation. In particular, the introduction of the EU Sustainable Products Regulation (ESPR) marks a fundamental shift in the regulatory paradigm from end-of-pipe governance to ecological design. However, sustainable materials still face challenges in terms of cost, performance, strength, comfort, and large-scale production. At present, there is a lack of cross-country comparative bibliometric analysis on the emerging sustainability trends in textile materials research. Based on this, this study uses CiteSpace (v6.4.RI) to conduct a visual analysis of this field based on Chinese and English literature from 2010 to 2025 in CNKI and Web of Science databases using bibliometric methods. The key analysis indicators include annual publication volume, national and institutional cooperation networks, high-frequency keywords, keyword clustering, evolution path and emerging terms to compare the research status at home and abroad. This study aims to systematically map and compare the domestic and international research trends of sustainable textile materials to determine the evolving themes and future directions. The results show that the number of related papers has continued to grow in the past 14 years, and China is in a leading position in terms of the number of published papers. International cooperation is characterized by multi-center and decentralization. The current research mainly focuses on three directions: material innovation, performance optimization and environmental governance mechanism. It is expected that future research will focus more on bio-based textile technology (especially bionic materials) and intelligent response materials that can be applied on a large scale, such as thermochromic fibers and self-healing composites.
subject: Articles
  topic: section
subject: Sustainable textile materials
  topic: keywords
subject: CiteSpace
  topic: keywords
subject: Knowledge Graph
  topic: keywords
subject: Visual Analysis
  topic: keywords
subject: Research Hotspot
  topic: keywords
creator: Cui-Yun Zhu
creator: An-Ding Liu
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 319
ending page: 335
doi: 10.3993/jfbim00025

Natural Mordants in Focus: A Comparative Study of Alum and Calcium Hydroxide in Cotton Dyeing with Senna Siamea Heartwood
type: item
description: This study evaluates the dyeing performance of cotton fabric with a natural dye extracted from the heartwood of Senna siamea, focusing on the effects of anodic electrochemical pretreatment combined with varying concentrations of two mordants: potassium aluminium sulfate (alum) and calcium hydroxide. Sodium chloride (10 g/L) was maintained as the auxiliary in all dye baths, while mordant concentrations ranged from 0 to 20 g/L for both alum and calcium hydroxide. Colourimetric analysis (CIE $Lab$*) revealed that alum treatment generally lightened the fabric and decreased colour saturation, with $∆E$ values reaching 13.11 at 20 g/L, indicating a shift toward washed-out shades. In contrast, calcium hydroxide enhanced fabric brightness and significantly increased yellow chroma, producing warmer and more vibrant hues, particularly at 10 g/L, which was visually the lightest and showed the greatest colour difference ($∆E$ = 14.32). Washing fastness (ISO 105-C10) remained consistently good (ratings 3-4/5) across all mordant types and concentrations. Rubbing fastness (ISO 105-X12) improved with increasing mordant concentration, especially for alum at 15-20 g/L and calcium hydroxide at 10 g/L, with wet rubbing ratings improving from 2/3 to 3/4. These results highlight the distinct influences of alum and calcium hydroxide on colour development and durability, offering practical insights for optimising natural dyeing with Senna siamea extract. The study promotes accessible, eco-friendly dyeing techniques suitable for rural artisans, enhancing traditional textile quality and supporting sustainable production.
subject: Articles
  topic: section
subject: Senna siamea
  topic: keywords
subject: natural dye
  topic: keywords
subject: anodic electrochemical pretreatment
  topic: keywords
subject: alum mordant
  topic: keywords
subject: calcium hydroxide mordant
  topic: keywords
subject: cotton dyeing
  topic: keywords
subject: sustainable textiles
  topic: keywords
creator: Piyanut Jingjit
creator: Yanisa Komonsirichok
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 307
ending page: 317
doi: 10.3993/jfbim00314

Design Guidelines for Accessible Dining Apparel for the Visually Impaired: Toward Inclusive and Sustainable Fashion
type: item
description: This study is to address the lack of targeted research on accessible clothing for the visually impaired. In response to this gap, we conducted a mixed-methods study involving in-depth interviews, questionnaire surveys, real-world experiments with visually impaired participants to examine their specific clothing needs during meals, and Market investigation. Based on the analysis of over 70 sample cases, the main challenges were identified as color recognition, stain detection, garment cleaning, functional design, and personalization. Meanwhile, we identify core design requirements for accessible bibs, including stain-resistant materials, ergonomic structures, and aesthetic considerations tailored to users preferences. This paper contributes empirical insights and practical guidelines to support inclusive design in sustainable fashion, offering a theoretical foundation for future development of accessible clothing for the visually impaired.
subject: Articles
  topic: section
subject: Visually Impaired
  topic: keywords
subject: Accessible Design
  topic: keywords
subject: Sustainable Fashion
  topic: keywords
subject: Design Requirements
  topic: keywords
creator: Yu-He Qin
creator: Zi-Rui Ji
creator: Jun-Xian Li
creator: Jia-Yi Lin
creator: Kai-Yue Yu
creator: Jing Guo
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 291
ending page: 305
doi: 10.3993/jfbim02211

Comparison of Support and Clothing Pressure Distribution in Japanese and Australian Maternity Support Garments
type: item
description: During the middle and late stages of pregnancy, the foetus grows rapidly, and the movements of the expectant mother are restricted. Therefore, a method that can support a sagging abdomen to support movement and distribute the weight of the lower abdomen throughout the torso to reduce the burden on the lower back needs to be investigated. This study aimed to develop a maternity support garment (MSG) that would provide comfortable support for rapid abdominal changes during the later stages of pregnancy. Nine types of MSGs used in Japan and Australia were analysed in terms of their clothing pressure distribution with a pregnant mannequin. In addition, pressure sense was indexed by the sensory evaluation of Japanese nongravid women in their 20s and 30s, and clothing pressure values obtained via simulation were analysed. The clothing pressure distribution of Japanese MSG is either almost perfect or looser, and when used alone, the MSGs keep the abdomen warm, except when the attached belt is used. Conversely, the Australian MSG is used with three types of tightness recommended by maternity hospitals; however, when double-layered with soft and hard types, the soft type concentrates pressure on the abdomen, and even the single-layer hard type MSG was observed to have higher pressure than the tight-fit sensation. Although the Australian MSGs provide support rather than insulation, the pressure that they exert on the gravid abdomen can restrict the blood flow to the foetus. Therefore, a narrow belt was combined with a single MSG and measured. The overlapping angle of the narrow belt generated excessive clothing pressure on the back from the heavy abdomen, making $15^◦$ the most suitable. The Australian soft-type single-layer MSG provided a perfect fit of clothing pressure but proved inadequate for supporting the heavy abdomen. Therefore, combining a narrow belt yielded good results. It was found that the medium type of MSG was preferred either as a single or double layer acco…
subject: Articles
  topic: section
subject: Pregnant mannequin
  topic: keywords
subject: Maternity support garments
  topic: keywords
subject: Clothing pressure
  topic: keywords
subject: Pressure feeling
  topic: keywords
creator: Tamaki Takada-Mitsuno
creator: Carolina Quintero Rodriguez
rights: Copyright (c) 2026 Journal of Fiber Bioengineering and Informatics
date: 2026-01-05
publication date: 2026-01-05
starting page: 275
ending page: 290
doi: 10.3993/jfbim00057

Optimising Natural Dyeing of Cotton with Butea Monosperma Through Anodic Pretreatment and Eco-Friendly Auxiliaries
type: item
description: This study investigates the combined effect of anodic pretreatment and varying auxiliary formulations on the dyeing performance of cotton fabric using a natural dye extracted from Butea monosperma flowers. While past studies have examined the role of mordants and pH modifiers in natural dyeing, limited attention has been given to how auxiliary systems interact with electrochemically modified fabrics to influence colour yield and fastness performance. This research addresses that gap by evaluating how anodically pretreated cotton responds to common dyeing auxiliaries—sodium chloride (NaCl), potassium aluminium sulfate (alum), sodium carbonate $({\rm Na_2 CO_3}),$ and calcium oxide (CaO)—in terms of shade development, chromatic richness, and durability. Using the CIE Lab colour system, significant colour variations were observed across all treated specimens (2–7) compared to the salt-only control (specimen 1). $∆{\rm E}$ values ranged from 12.49 to 19.95, with the highest chromatic shift seen in the ${\rm NaCl}$ + alum sample, which produced a vivid orange hue with enhanced redness and yellowness. Combinations of alum and alkalis yielded deeper, more saturated shades, while alkali-only formulations produced earthier tones with moderate lightness. These outcomes highlight the synergistic effect of anodic surface activation and auxiliary chemistry on improving dye-fibre interactions. Fastness tests, conducted according to ISO 105-C10 and ISO 105-X12 standards, revealed moderate washing durability (colour change ratings of 3 to 4) and good rubbing fastness (ratings up to 4). Specimens treated with mordants and alkalis generally exhibited improved fixation and reduced staining, whereas anodic treatment enhanced surface adhesion of the dye. This study demonstrates a promising, low-impact approach to improving natural dye uptake and fastness on cotton fabric by integrating anodic pretreatment with accessible auxiliary systems. The findings support the development of sustain…
subject: Articles
  topic: section
subject: Butea monosperma
  topic: keywords
subject: natural dyeing
  topic: keywords
subject: anodic pretreatment
  topic: keywords
subject: cotton fabric
  topic: keywords
subject: dye auxiliaries
  topic: keywords
subject: colour fastness
  topic: keywords
subject: sustainable textiles
  topic: keywords
subject: rural textile innovation
  topic: keywords
creator: Yanisa Komonsilichok
creator: Piyanut Jingjit
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 263
ending page: 274
doi: 10.3993/jfbim00299

Evaluating the Impact of Blended Learning on Self-Directed Learning and Critical Thinking in Taiwanese Fashion Design Education
type: item
description: Blended learning has become increasingly important in Taiwanese higher education, particularly in creative disciplines such as fashion design. With the rapid advancement of digital tools and the growing emphasis on technology in education, blended learning provides fashion design students with greater flexibility to engage with both theory and practice. Despite its growing adoption, research into its impact on fashion design education remains limited. This study seeks to address this gap by examining how blended learning influences academic achievement, self-directed learning (SDL), and critical thinking within Taiwanese fashion design education. Specifically, it investigates how blended learning enhances creative studio practice and fashion-specific learning outcomes. The findings demonstrate significant improvements in SDL and critical thinking, which are key to developing creativity and problem-solving skills in fashion design students. The study underscores the potential of blended learning to bridge the gap between theory and practice in fashion education, offering valuable insights for its optimisation in similar contexts.
subject: Articles
  topic: section
subject: Blended Learning
  topic: keywords
subject: Design Education
  topic: keywords
subject: Self-directed Learning (SDL)
  topic: keywords
subject: Critical Thinking
  topic: keywords
subject: Academic Achievement
  topic: keywords
creator: Chia-Yi Wu
creator: Guoxiang Yuan
creator: Qingxin Peng
creator: Vasilije Petrović
creator: Anita Milosavljević
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 247
ending page: 262
doi: 10.3993/jfbim01891

Sun-Protective Clothing Design for Wheelchair Users: Integrating Function and Accessibility
type: item
description: Research on sun-protective clothing for wheelchair users is of great significance in advancing the development of accessible clothing. Currently, sun-protective clothing available on the market is mainly designed for the general public. Traditional sun-protective clothing has shortcomings in multiple aspects such as garment length and bottom hem circumference, failing to meet the daily wearing needs of wheelchair users. Based on this, this study aims to design sun-protective clothing that caters to the needs of wheelchair users. The study employed questionnaire surveys and interviews, identifying seven key design points, and proposed a systematic design method based on three functional areas: sun protection, breathability, and safety protection. In the sun protection functional area, the sun protection area is determined by integrating the characteristics of the fabric and the wearing scenario. In the breathable functional area, the breathable area is determined and suitable materials are screened. In the safety protection functional area, reflective materials are integrated into the clothing structure line. Based on this, this study designs barrier-free settings for sun protection clothing. Three testers were invited to conduct wear testing and evaluation. The results showed that the comfort and functionality of the sun-protective clothing have been significantly improved, providing new design ideas for accessible clothing and creating possibilities for wheelchair users to have more suitable sun-protective clothing in the summer.
subject: Articles
  topic: section
subject: Sitting sun-protective clothing
  topic: keywords
subject: Wheelchair users
  topic: keywords
subject: Accessibility design
  topic: keywords
subject: Parking Demand Study
  topic: keywords
creator: Han-Xin Liu
creator: Hui Zhu
creator: Jing Guo
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 233
ending page: 246
doi: 10.3993/jfbim06401

An Intelligent Framework for Multi-Scenario Fabric Selection in Cycling Apparel: A User-Expert Dual-Driven Approach
type: item
description: Traditional evaluation of cycling trouser fabrics employs fixed-weight methods, failing to address the diverse performance demands of dynamic cycling scenarios. To overcome this limitation, this study developed and validated an intelligent scoring system using a “user-expert” dual-driven dynamic weight optimisation strategy. A dynamic weighting scheme was first constructed by integrating the Analytic Hierarchy Process (AHP) with user survey data. To mitigate data scarcity, a Generative Adversarial Network (GAN) was utilised to augment the dataset. Subsequently, a random forest regression model, integrated with a fuzzy logic engine, was employed to dynamically adjust performance weights (abrasion resistance, moisture permeability, air permeability) based on scenario inputs. The model achieved a coefficient of determination ($R^2$) of 0.924 on the training set and an average $R^2$ of 0.893 on the test set. Further validation demonstrated a prediction error of $\le 5.2\%$ for new fabrics and maintained $R^2$ values above 0.85 under hyperparameter sensitivity analysis, indicating strong generalisation and robustness. This research provides a validated, data-driven framework for fabric selection in customised clothing and introduces a novel paradigm for the performance-based design of advanced technical textiles.
subject: Articles
  topic: section
subject: Cycling trousers
  topic: keywords
subject: Fabric Evaluation
  topic: keywords
subject: Digital Evaluation
  topic: keywords
subject: Data-driven
  topic: keywords
subject: Intelligent Scoring System
  topic: keywords
creator: Pan Huang
creator: Jian-Xia Du
creator: Meng-Ya Yuan
creator: Meng-Ke Zhu
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 217
ending page: 231
doi: 10.3993/jfbim01731

Advances of Functional Inks for Printed E-Textiles
type: item
description: Electronic textiles (E-textiles) have emerged as promising platforms for applications in healthcare, sports training, and human-machine interaction, owing to their flexibility, permeability and integration capability. Printing technologies such as inkjet, screen, stencil, gravure, and flexographic printing offer scalable and cost-effective routes for fabricating conductive pathways and embedding functional components onto textiles. Despite rapid progress, the development of high-performance printed E-textiles is hindered by challenges in ink formulation, printability, mechanical compatibility, and especially ink-textile adhesion. Current research lacks a systematic understanding of how ink properties influence long-term durability and device functionality under real-world use. This review aims to address these issues by discussing recent advances in functional inks for printed E-textiles, with a focus on ink composition, printing techniques, and adhesion strategies. Key insights into the relationship between material properties and textile performance are highlighted. Finally, future directions are proposed to guide the development of durable, stretchable, and reliable printed E-textiles.
subject: Articles
  topic: section
subject: E-textiles
  topic: keywords
subject: Functional inks
  topic: keywords
subject: Printing technologies
  topic: keywords
creator: Jinxing Jiang
creator: Youchao Qi
creator: Qiyao Huang
rights: Copyright (c) 2025 Journal of Fiber Bioengineering and Informatics
date: 2025-12-10
publication date: 2025-12-10
starting page: 193
ending page: 216
doi: 10.3993/jfbim00808

Biomimicry of Fibrous Materials: The Thermal Conductivity and morphology of Man-Made and Natural Fibrous Materials
type: item
description: With the aim to gain an appreciation of how nature insulates animal bodies with furs, in this exploratory\r study we investigated the TC and morphology of natural and synthetic fibrous materials. Specifically, we\r present our experimental observations on coyote, wolverine, and synthetic furs, as well as Polyacrylonitrile\r (PAN) nanofibers and knitted fabric. The TC was measured at a temperature range of \u221210 \u25e6C to 65 \u25e6C.\r The natural furs consist of fibers with different diameters and cuticular scale patterns. They form coreshell\r fibers with complex cellular structures in the core. The natural furs have lower TC compared to\r that of the synthetic fibrous structures. The coyote furs have the lowest TC value of \u223c 0.046 W/mK\r at \u221210 \u25e6C. While the TC of all of the samples decreased with temperature, the TC of the natural furs\r decreased at a higher rate and showed a different behavior with temperature, compared to the synthetic\r fibrous materials.
subject: Articles
  topic: section
subject: Thermal Conductivity;Natural Fur;HotDisc Method;Heat Transfer;Fibrous Materials
  topic: keywords
subject:
  topic: subjects
creator: Hossein Soltanian
creator: Addie Bahi
creator: Gary Cungu
creator: Frank Ko
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 113
ending page: 128
doi: 10.3993/jfbim00308

Extraction of Natural Dye from Phellodendron Amurense and Its Photofading
type: item
description: Phellodendron amurense was used as natural dye source. Orthogonal experiment was carried out to select\r optimal extract process of phellodendron amurense dye. The orthogonal analysis results showed extract\r temperature was the most important factor. Stability investigation showed phellodendron amurense\r extract was stable to weak acid and alkaloid environment. Common metal ion had little effects on\r absorbance of phellodendron amurense extraction. Wool fabric and silk fabric had been dyed with\r phellodendron amurense aqueous solution. Solarization experiment showed high concentration dyeing\r sped up photofading rate and the dyed silk fabric was more sensible to the solarization. Vitamin C acid\r treatment slowed down photofading rate.
subject: Articles
  topic: section
subject: Natural Dye;Phellodendron Amurense;Extraction;Photofading
  topic: keywords
subject:
  topic: subjects
creator: Gui-Zhen Ke
creator: Kun-Di Zhu
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 77
ending page: 84
doi: 10.3993/jfbim00281

Fillers Compounding and Process Optimization of Polyamide Wet-coating
type: item
description: In view of the many problems in the coating of the trademark, such as the poor stability of the filler,\r the poor adhesive resistance and ink absorption of the fabric, the high pH value and insufficient printing\r stability, etc. this paper focuses on the study of two kinds of common inorganic fillers, wollastonite and\r kaolin, on the structure of the polyamide 6 coating film and the properties of the wet coating trademark\r fabric. The mixture of these two kinds of filler is applied to the coating slurry, and the ratio and dosage\r are optimized. On this basis, combined with production practice, the wet coating process conditions\r were optimized. The results showed that the mass ratio of wollastonite and kaolin is 1:1 (the mass of\r the filler is 22% of anhydrous methanol), the compatibility of coating slurry is higher than that of the\r coating slurry prepared from single wollastonite, it is not easy to settle, but also the dispersion of coating\r slurry is better than that of only kaolin, and the microporous structure on the surface of coating film\r is more uniform. Moreover, the coated fabrics presented higher ink absorption performance. When the\r coating temperature is 35 \u25e6C, the viscosity of the coating is 2\u223c3 Pa\u00b7s, the baking temperature is 160 \u25e6C,\r and the baking time is 80 s. The color fastness to the soaping color of the coated fabric reaches to grade\r 4-5, the printing effect reaches to 3-4, the whiteness and the fabric style are better.
subject: Articles
  topic: section
subject: Filler;Rheologic Properties;Mechanical Property;Polyamide Wet-coating;Process Optimization
  topic: keywords
subject:
  topic: subjects
creator: Qing Zhu
creator: Tao Li
creator: Jin-huan Zheng
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 85
ending page: 98
doi: 10.3993/jfbim00291

Evaluation and Comparison of Acoustic Performance and Thermal Conductivity of Spacer Fabrics
type: item
description: The utilization of 3-Dimensional (3D) porous textile materials by the civil and mechanical engineers for\r improved thermo-acoustic environment has widened the research scope. Unconventional three-dimensional\r textile material which grabs the attention of the researchers for multi-functional applications is spacer\r fabrics. Since spacer fabrics have superior thermal and acoustic characteristics compared to conventional\r woven/knitted structures or nonwovens due to their wonderful 3D porous nature. It has two outer layer\r connected with the help of monofilament or multifilament spacer yarn which kept the fabric bulkier\r with low density and highly breathable. Due to porous nature, interconnected pores, bulkier and 3D\r structure, the spacer fabrics have ability to attenuate more sound energy than the conventional materials.\r This research paper presents an experimental investigation on the sound absorption behaviour and\r thermal properties of warp knitted spacer fabrics. The Sound absorption coefficient (SAC) and thermal\r conductivity (K) were measured using two microphone impedance tube and Alambeta. This study deeply\r discusses the influence of material parameters and characteristics on acoustic properties of 3D spacer\r knitted fabrics. The results show that the fabric surface property, porosity, flow resistivity and tortuosity\r have significant effects on the sound absorption as well as thermal conductivity. With the obtained\r results, this work derives regression equations and correlation between noise absorption and thermal\r properties of spacer fabrics.
subject: Articles
  topic: section
subject: Noise Reduction Coefficient (NRC);3D Spacer Fabrics;Flow Resistivity;Thermal Conductivity
  topic: keywords
subject:
  topic: subjects
creator: Veerakumar Arumugam
creator: Rajesh Mishra
creator: Dana Kremenakova Blanka Tomkova
creator: Jiri Militky
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 65
ending page: 76
doi: 10.3993/jfbim00287

Development & Characterization of Alginate/Graphene Oxide Fibers with Improved Electrical Conductivity
type: item
description: Graphene has demonstrated extraordinary electrical, optical, thermal and mechanical properties. In last\r decade, a lot of research has been done to improve fabrication and solution processing of graphene to\r graphene oxide and reduced graphene oxide. Graphene oxide contains more number of oxygen containing\r functional groups which increase interlayer distance and make its dispersion easy in aqueous solutions.\r These advances in graphene have further improved its properties including tensile strength, elastic\r modulus, low resistance, carrier mobility and stability against higher temperatures and chemicals.\r Alginate is obtained from brown seaweeds and has potential applications in treatment of wounds and cell\r differentiation due to its non-toxicity, biodegradability and biocompatibility. It is a hydrophilic natural\r polysaccharide and provides moist and ideal environment for wound healing and cell growth. However,\r Alginate fibers still also display some unsatisfactory properties, such as low mechanical strength and\r electrical conductivity. Combining the intriguing properties of graphene and alginate, we develop smart\r composite fibers with suitable conductivity and mechanical strength which can be processed to nonwoven\r wound dressings and can be used as biosensors for medical applications. Sodium alginate/Graphene oxide\r fibers were fabricated by using wet spinning setup. The developed sodium alginate/graphene oxide fibers\r were further thermally and chemically reduced to improve conductivity. Their structure and properties\r were characterized by conductivity measurements, fiber strength testing, absorption behaviors, FTIR\r (Fourier transform infrared spectroscopy) and SEM (scanning electron microscope). The addition of\r graphene oxide improves the strength of sodium alginate/graphene oxide fibers due to high compatibility\r and even distribution of graphene oxide fillers in alginate matrix. Thermal and chemical reduction\r methods increase the …
subject: Articles
  topic: section
subject: Alginate;Graphene;Conductivity;Fibers;Wet Spinning
  topic: keywords
subject:
  topic: subjects
creator: Muhammad Umar
creator: Yi Li
creator: Yuan Feng
creator: Xuqing Liu
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-11-15
publication date: 2018-11-15
starting page: 99
ending page: 111
doi: 10.3993/jfbim00290

Influence of Fabric Properties on Clothing Thermal Comfort under Different Environmental Temperatures
type: item
description: Temperature greatly in fluences the choice of clothing type. It is difficult to study the effect of temperature on the performance of a garment and the used fabric, as changes in temperature varies signi\fcantly within a year, a season or even a day. This research paper studied the effect of fabric properties on human thermal comfort under different environmental temperatures. The main methodology entails using a CAD software to simulate clothing thermal comfort value of a garment made of 6 fabric types, then conducting analysis on the simulation results. The results indicate that fabrics perform better within a range of temperature. The further they stray from the range, the smaller the impact of the fabrics on human comfort. The results from the methodology also demonstrates that activity types and temperature greatly affect the comfort value.
subject: Articles
  topic: section
subject: Textile CAD technology;Mathematical modeling;Mathematical analysis;Big data model
  topic: keywords
subject:
  topic: subjects
creator: Qing-hong Huang
creator: Zhang-chi Liu
creator: Tim Jun Li
creator: Yi Li
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2021-06-07
publication date: 2021-06-07
starting page: 113
ending page: 126
doi: 10.3993/jfbim00368

Garment Pleats Modeling and Force Analysis Based on Different Yarn Directions
type: item
description: Pleating is a common modeling technique in the manufacturing of garments. As requirements for the style of pleats are gradually increasing, it is necessary to consider the pleats modeling and force conditions In this paper, draping experiments were carried out with the warp yarn on horizontal, vertical, and a 45\u25e6\u00a0angle (bias) for three types, After analyzing the modeling garment pleats, force conditions and comparing the angle of the resultant force, it can be concluded that the modeling and the force of the pleats varies with the direction of the yarn. The species of pleats are different and their modeling is forced differently. The results demonstrate that the modeling of draped pleats and sunray pleats-upper-length are mainly affected by gravity, the bias fabric was desirable in terms of roundness, symmetry and softness. For sunray pleats-whole-length style, the neckline, modeling, quantity and size of pleats, the stability of hem, and the effect of force should be rationally utilized to achieve the optimal styling. The modeling of mummy pleats was greatly affected by the stretch, the bias stripes were the optimal choice.
subject: Articles
  topic: section
subject: Pleat;Warp Direction;Draping;Modeling;Force Analysis
  topic: keywords
subject:
  topic: subjects
creator: Wen-Ting Yan
creator: Jian Li
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2021-06-07
publication date: 2021-06-07
starting page: 101
ending page: 111
doi: 10.3993/jfbim00359

Relationship between Ease and Thermal Insulation of Men's Pyjamas Made of a Knitted Fabric with New Cotton Non-Twisted Hollow Yarn
type: item
description: We examined the relationship between ease of pyjamas and body on the thermal insulation of men's pyjamas made from a knitted fabric of a new cotton-based non-twisted hollow yarn to obtain design guidelines for higher heat retention. We made six sets of men's pyjamas that have different ease for the circumferences of chest, hip, and sleeve. We measured the heating power required for different parts of a thermal manikin to remain at a constant temperature when the manikin wore the pyjamas. We also measured the thermal insulation when the cuffs of the upper garment and the hems of the lower garment were closed with belts. To evaluate the effect of ease of wearing state on thermal insulation quantitatively, the differences of circumference and area of the cross-section between thermal manikin and a pyjama worn on the manikin were calculated from those 3D scanned data. We investigated the relationship between the heating power and the differences. As a result, the heat retention increased as the differences increased although there are variations depending on the location. There was almost no effect of convection from the cuffs and hems in the experimental environment without wind.
subject: Articles
  topic: section
subject: Knitted Fabric;Non-twisted Hollow Yarn;Pyjamas;Thermal Properties
  topic: keywords
subject:
  topic: subjects
creator: Toko Manabe
creator: Kyoung Ok Kim
creator: Masayuki Takatera
creator: Kyosuke Kanda
creator: Masatoshi Kawakami
creator: Nagisa Hirata
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2021-06-07
publication date: 2021-06-07
starting page: 67
ending page: 75
doi: 10.3993/jfbim00367

Application of Visual Illusion Patterns on Modern Women's Knitwear Design
type: item
description: The jersey knitwear market occupies most of the knitting market due to its relatively simple manufacturing process and high public acceptance. Pattern design composed of some simple lines and geometric patterns usually applied to jersey knitwear, but it can not take advantage of knitting fabrics as much as possible. Therefore, in order to combine the merit of knitwear, the research process is as follows: firstly, learning about women's preferences for knitwear in their 30s and 50s through questionnaire distribution and in-store inquiries. Secondly, designing and producing urban women's knitwear collections with optical illusion patterns. The yarn used in this design experiment is mostly 100% 80s Australian wool, and the equipment is STOLL M1 plus--a computerized at knitting machine, all of which are provided and assisted by the FSF factory, Suzhou, China. It is \fnally determined that the jacquard pattern put into production is double-sided birdeye jacquard and air layer jacquard. In terms of the \fnal collection effect, the design ideas of \"Fake Two Pieces\" and \"Simulated Pleated Skirt\" are reflected in the collection named \"chengSHi\". The combination of knitwear and optical illusion patterns dramatically simpli\fes the production process and improves production efficiency owing to knitwear's one-piece weaving. Moreover, it also provides new inspiration for knitwear design.
subject: Articles
  topic: section
subject: Optical Illusion Pattern;Knitwear Design;Pattern Design;Visual Effects;Flat Knitting
  topic: keywords
subject:
  topic: subjects
creator: Shi-Yu Liu
creator: Guo-Xiang Yuan
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2021-06-07
publication date: 2021-06-07
starting page: 89
ending page: 100
doi: 10.3993/jfbim00351

Representation and Application of Jacket Knowledge Based on Domain Ontology
type: item
description: This paper takes jacket as an example, constructs a clothing knowledge model based on domain ontology, and explores ways to represent and reuse clothing knowledge in the context of the Internet economy. In this paper, jacket knowledge is sorted out based on the dimension of life week of clothing products, and the jacket knowledge framework is subdivided under the guidance of the modular design concept, laying a foundation for further application of the framework. The research shows that combining ontology modeling technology and knowledge representation, jacket domain ontology can be constructed to realize the classification of jacket design knowledge. This paper also further discusses the application prospect of jacket knowledge framework, which can play a guiding role in the customization of the jacket and modular design of the jacket, improve the reuse rate of jacket knowledge, and provide a feasible application mode for garment knowledge management.
subject: Articles
  topic: section
subject: Jacket;Product Life Cycle;Knowledge Classification;Knowledge Framework
  topic: keywords
subject:
  topic: subjects
creator: Xiao-Yu Jiang
creator: Bo-An Ying
creator: Xiao-Feng Wang
creator: Jing Qi
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2021-06-07
publication date: 2021-06-07
starting page: 77
ending page: 88
doi: 10.3993/jfbim00348

Fabrication and Characterization of Electrospun Nanofibrous Composite Membrane for Air Filtration
type: item
description: One kind of composite membrane by combining electrospun nanofibrous membrane with fiberglass mesh was developed for air filtration. The fiber diameter, morphology of membranes, pressure drop and filtration efficiency of composite membrane were evaluated. The results revealed that the pressure drop and filtration efficiency of composite membrane decreased with the increase of winding speed (the higher winding speed is, the less of nanofibers are). The pressure drop of all samples at an airflow speed of 5 m/min was less than 25 Pa, which was much lower than the values from other reported work; and the highest filtration efficiency of sample in this work was more than 83% for particulate matters with 1.88 \u0016m.
subject: Articles
  topic: section
subject: Electrospinning;Nanofiber;Light Transmittance;Pressure Drop;Filtration Efficiency.
  topic: keywords
subject:
  topic: subjects
creator: Si Cheng, Yuan-Xiang Xiao, Lian-Ying Zhao, Lv-Tao Zhu, Ren-Long Li, Guo-Cheng Zhu
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-07-10
publication date: 2018-07-10
starting page: 223
ending page: 230
doi: 10.3993/jfbim00272

Effect of Configuration of Protective Fabrics on Thermal Protective Performance under Steam Exposure
type: item
description: A novel steam simulator was employed in this study to evaluate thermal protective performance of protective clothing while exposing to steam hazard. Single- and double-layer fabric systems were selected, and different configurations of moisture barrier were exposed to steam hazard for investigating the effect of configuration of protective fabrics on the thermal protective performance. The skin bio-heat transfer and Henriques burn integral models were used to predict the required times to reach 2nd and 3rd degree skin burn. The results demonstrated that the thermal protective performance of protective clothing under steam exposure was determined by the air permeability, the thickness, the mass, and the surface properties of fabric. Even though the moisture barrier provided excellent protective performance for steam exposure, the configuration of moisture barrier presented a decisive influence on the role of moisture barrier. The findings obtained in this study provide technical data for the performance improvement of protective clothing under steam hazard.
subject: Articles
  topic: section
subject: Thermal Protective Performance;Steam Exposure;Protective Fabric;Configuration.
  topic: keywords
subject:
  topic: subjects
creator: Yun Su, Rui Li, Guo-Wen Song, Jun Li
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-07-10
publication date: 2018-07-10
starting page: 201
ending page: 209
doi: 10.3993/jfbim00271

Grafting of Poly (Cysteine Methacrylate) Brush from Polysulfone Membrane via Surface-Initiated ATRP and Their Anti-Protein Fouling Property
type: item
description: In this paper, we first grafted the poly cysteine methacrylate (pCysMA) brush on polysulfone membrane by surface-initiated atomic-transfer radical polymerization and studied for their antifouling properties. The surface topological structure, chemical composition, and wettability of the as-prepared surface are characterized by scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), atomic force microscopy (AFM), fourier transform infrared spectra (ATR-FTIR), and water contact angle (WCA) measurements. The hydrophilicity and anti-biofouling activities of the polymer brush surface were evaluated by protein adsorption test. The results displayed that the pCysMA shows better hydrophilicity and effectively resisted the adsorption of bovine serum albumin (BSA) protein.
subject: Articles
  topic: section
subject: Polysulfone;Cysteine;ATRP;protein adsorption.
  topic: keywords
subject:
  topic: subjects
creator: Ling Yang, Si-tian Ma, Huan Xia, Yi-ming Bu. Jing-jing Huang, Shao-jin Gu
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-07-10
publication date: 2018-07-10
starting page: 231
ending page: 237
doi: 10.3993/jfbim00277

Structural Design and Fabrication of Silk/Polyester-Based Bifurcated Stent-Graft
type: item
description: The present paper describes the structural design and fabrication of silk fibroin (SF)/polyester (PET)- based bifurcated stent-graft (BSG) using orthogonal experimental design (OED) and range analysis (RA). An orthogonal design comprising of three factors was used, including basic weave, warp x weft density and warp x weft materials, each factor contains three different levels. As a result, nine kinds of BSGs with different weaves, densities and materials were prepared using a modified rigid rapier weaving loom. Water permeability and wall thickness were evaluated according to standard protocols (ISO 7198: 2016). Furthermore, weaving process was optimized and RA was used to detect how performance was affected by factors. The results showed that the thickness of almost all samples is near or less than 0.1 mm, which is required for BSG used in endovascular graft exclusion. Whereas, the water permeability is with a large variation compared to thickness, because BSGs made of pure SF possess significant lower water permeability than that made of pure PET or SF-PET mixed. The water permeability of sample g is only 5.19 ml/(cm2\u00a0x min), which can prevent blood leakage after transplantation according to the standard. In conclusion, the SF-based BSG has better performance in terms of water permeability, which is more suitable as BSG used in endovascular exclusion.
subject: Articles
  topic: section
subject: Bifurcated Stent-graft;Silk;Woven;Wall Thickness;Water Permeability;Orthogonal Experimental Design.
  topic: keywords
subject:
  topic: subjects
creator: Ze-Kun Liu, Gang Li, Yi Li, Yu-Ling Li, Xiao-Qin Wang
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-07-10
publication date: 2018-07-10
starting page: 211
ending page: 222
doi: 10.3993/jfbim00274

Thermal Insulation Properties of Electrospun Nanofibrous Layers
type: item
description: The aim of the study is to understand the heat transfer behavior of low-density nanofibrous layers. Understanding heat transfer through nanofibrous layers embedded with silica aerogel structures will allow us to explore the unique properties of polymer nanofibers for high performance textile applications. It was intended to study the mechanisms of heat transfer through fibrous insulation where the fiber diameter is less than 1 micrometer (\u0016m). Flexible electrospun PUR and PVDF nanofibrous layers embedded with silica aerogel was produced using electrospinning process. Further, the thermal properties of the electrospun nanofibrous layers embedded with SiO2\u00a0aerogel was analyzed to find their application in enhanced thermal insulation. The thermal properties of the samples were evaluated and statistically analyzed. The microscopic examination confirmed presence of aerogel particles. The results showed enhancement of thermal insulation by increasing the number and the weight per unit area of both nanofibrous layers. The results confirmed that embedding silica aerogel in nanofibrous layers leads increased thermal insulation. From the study, it can be concluded that nanofibrous layers can provide efficient thermal insulation.
subject: Articles
  topic: section
subject: Nanofiber;Aerogel;Thermal Insulation;Conduction;Heat Transfer.
  topic: keywords
subject:
  topic: subjects
creator: Mohanapriya Venkataraman, Rajesh Mishra, Jiri Militky, Jaromir Marek, Klara Kucerova, Juming Yao, Guocheng Zhu
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2018-07-10
publication date: 2018-07-10
starting page: 187
ending page: 199
doi: 10.3993/jfbim00276

Gender Comparison of Image Perception and Preferences for Spring • Summer Shirt Yarn-dyed Fabrics
type: item
description: The research proposes to extract data of male and female consumers' image perception and preferences\r in yarn-dyed fabrics for spring and summer shirts. The Semantic Differential (SD) evaluation on\r representative fabric samples by two groups of subjects was accomplished following the standardized\r sensory evaluation procedures. The differences in terms of image perception in yarn-dyed fabrics between\r male and female subjects was identified through Levene homogeneity variance test and independent\r samples T-test, and the evaluation factors of subjects' image perception was classified into 6 factors\r through factor analysis. The relationships between image word-pairs and subjects' preferences were\r validated with regression analysis. Experiment results show an evident difference in terms of image\r perceptions, preferences and the factors affecting preferences of the yarn-dyed fabrics between male\r and female subjects. The quantitative data could consequently provide guidance to help designing and\r producing differentiated yarn-dyed fabrics for designated sex consumers.
subject: Articles
  topic: section
subject: Yarn-dyed Fabric;Gender;Image Perception;Preference;Factor Analysis
  topic: keywords
subject:
  topic: subjects
creator: Xiaoxi Zhou, Hui\u2019e Liang & Zhiya Dong
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2015-08-01
publication date: 2015-08-01
starting page: 771
ending page: 782
doi: 10.3993/jfbim00181

Part Recognition Method Based on Visual Selective Attention Mechanism and Deep Learning
type: item
description: In order to enable the industrial robots to recognize the specific targets quickly and accurately on the\r assembly line, an object recognition method driven by visual selective attention mechanism is proposed.\r With mass training data and a machine learning model containing a number of hidden layers, deep\r learning can learn more useful features, and thus ultimately improve the classification or the prediction\r accuracy. The main idea of this method is as follows: for all part images, the visual attention mechanism\r is used to choose salient regions in an image, achieving the goal of target segmentation. Then an\r image recognition method based on deep learning is applied to recognize the chosen salient regions.\r Experimental results show the effectiveness of the proposed method and the cognitive rationality.
subject: Articles
  topic: section
subject: Visual Selective Attention Mechanism;Part Recognition;Deep Learning;Feature Learning
  topic: keywords
subject:
  topic: subjects
creator: Dan Zhou & NanfengXiao
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2015-08-01
publication date: 2015-08-01
starting page: 791
ending page: 800
doi: 10.3993/jfbim00196

Adjacent Local Binary Patterns Based on Color Space Fusion for Color Image Classification
type: item
description: In this paper, we propose an improved image feature descriptor based on Local Binary Pattern, which is\r called Adjacent Local Binary Patterns based on Color Space Fusion (ALBPCSF). The proposed method\r fuses color feature and spatial relations. ALBPCSF uses the channel values of RGB and HSV color spaces\r to calculate the color feature. Then the proposed method considers the spatial relations which will be\r combined with the color feature. Finally, an image classification system framework based on ALBPCSF\r is given. In order to validate the performance, our method is compared with previous methods on Corel\r 1000 and MIT Vision Texture datasets. The results show that our approach is superior than other\r methods in color image classification.
subject: Articles
  topic: section
subject: Local Binary Pattern;Color Texture;KNN;Image Classification
  topic: keywords
subject:
  topic: subjects
creator: Shengsheng Wang, Dezhi Huang, Haiyang Jia, Dong Li & Bolou Bolou Dickson
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2015-08-01
publication date: 2015-08-01
starting page: 783
ending page: 790
doi: 10.3993/jfbim00188

Research on Non-rigid Structure from Motion: A Literature Review
type: item
description: Non-rigid Structure from Motion (NRSfM) is a classical computer vision problem. And the main methods\r used to solve it are in general based on shape models or trajectory models. This paper will provide an\r overview over kinds of solutions proposed in these researches. It not only gives out the theoretical\r insights proposed by researchers in recent years, but also discusses them with their pros and cons. At\r the same time, the progress of the research about this topic is described in detail and its long-term trend\r is introduced at the end. This paper is very easy to understand, which mainly introduces two practical,\r everyday models for the NRSfM problem, namely trajectories based model and shape based model. Both\r of them are based on matrix factorization technology. Inevitably, some relevant optimization methods\r are mentioned to solve the projection matrix and corresponding coefficients effectively.
subject: Articles
  topic: section
subject: Non-rigid Structure From Motion;Optimization Methods;Shape Models;Matrix Factorization;Trajectory Basis;Discrete Cosine Transform
  topic: keywords
subject:
  topic: subjects
creator: Yaming Wang, Xiaomeng Yan, Mingfeng Jiang & Junbao Zheng
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2015-08-01
publication date: 2015-08-01
starting page: 751
ending page: 760
doi: 10.3993/jfbim00164

A Novel Algorithm for the Real-time Analysis of Uterine Contraction Status
type: item
description: Against the problems of existing uterine contraction identification algorithms, mainly in the\r inapplicability to real-time identification of the characteristic points of uterine contraction wave, a novel\r method based on a series of criteria for real-time analysis is proposed in this paper. After confirming the\r beginning, end and peak of the analyzed segment, a series of criterion are used to identify the status of\r current uterine contraction point. Meanwhile, the status of current uterine contraction point is corrected\r by a buffer mechanism to ensure accuracy. The experiments show that the conformity between the realtime\r analysis results and two experts' analysis results are high, and the kappa coefficients are as high\r as 0.874 and 0.872. Moreover, the time required for the analysis of a uterine contraction point is only\r 0:0032\u00060:0002 (mean \u00b1 SD) seconds, which is far less than the acquisition and output time of a uterine\r contraction point by pressure probe. Therefore, the proposed method can meet the requirements of\r real-time analysis in both accuracy and efficiency.
subject: Articles
  topic: section
subject: Uterine Contraction Status;Real-time Analysis;Characteristic Point
  topic: keywords
subject:
  topic: subjects
creator: Zhaoxia Chen, Yaosheng Lu, Duoying Zhang, Xiaodong Li & Renhuan Yang
rights: Copyright (c) 2025 COPYRIGHT: © Global Science Press
date: 2015-08-01
publication date: 2015-08-01
starting page: 761
ending page: 770
doi: 10.3993/jfbim00176