The Segmented Dynamic Time Warping Algorithm for Beat-to-Beat Heart Rate Estimation based on Ballistocardiogram Signals
Year: 2013
Journal of Fiber Bioengineering and Informatics, Vol. 6 (2013), Iss. 4 : pp. 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.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.3993/jfbi12201306
Journal of Fiber Bioengineering and Informatics, Vol. 6 (2013), Iss. 4 : pp. 415–425
Published online: 2013-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 11
Keywords: Ballistocardiogram