@Article{JFBI-6-4,
author = {},
title = {The Segmented Dynamic Time Warping Algorithm for Beat-to-Beat Heart Rate Estimation based on Ballistocardiogram Signals},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2013},
volume = {6},
number = {4},
pages = {415--425},
abstract = {In order to improve the accuracy and speed of beat-to-beat heart rate estimation, a Segmented Dynamic
Time Warping (SDTW) algorithm based on Ballistocardiogram (BCG) signal was presented. The
beat-to-beat heart rate obtained through this algorithm was evaluated using 20 healthy subjects with
synchronized lead I ECG as standard. The mean bias between JJ and RR interval was 0.2 ms and the
confidence interval of 95% was ± 19 ms. It indicates that the obtained beat-to-beat intervals are in better
agreement with that of ECG. The mean relative error and matching time for heart rate estimation with
the algorithm were 1.37% and 0.77 s, respectively. The results were superior to that of the traditional
template matching algorithms. It establishes the foundation for heart disease monitoring based on BCG
signal.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbi12201306},
url = {https://global-sci.com/article/86725/the-segmented-dynamic-time-warping-algorithm-for-beat-to-beat-heart-rate-estimation-based-on-ballistocardiogram-signals}
}