Volume 6, Issue 4
The Segmented Dynamic Time Warping Algorithm for Beat-to-Beat Heart Rate Estimation based on Ballistocardiogram Signals

Chunwu Wang, Xu Wang, Xin Xiong & Renjun Wang

Journal of Fiber Bioengineering & Informatics, 6 (2013), pp. 415-425.

Published online: 2013-06

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  • 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.
  • Keywords

Ballistocardiogram Electrocardiogram Dynamic Time Warping Beat-to-beat Heart Rate

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COPYRIGHT: © Global Science Press

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@Article{JFBI-6-415, 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 = {http://global-sci.org/intro/article_detail/jfbi/4852.html} }
TY - JOUR T1 - The Segmented Dynamic Time Warping Algorithm for Beat-to-Beat Heart Rate Estimation based on Ballistocardiogram Signals JO - Journal of Fiber Bioengineering and Informatics VL - 4 SP - 415 EP - 425 PY - 2013 DA - 2013/06 SN - 6 DO - http://doi.org/10.3993/jfbi12201306 UR - https://global-sci.org/intro/article_detail/jfbi/4852.html KW - Ballistocardiogram KW - Electrocardiogram KW - Dynamic Time Warping KW - Beat-to-beat Heart Rate AB - 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.
Chunwu Wang, Xu Wang, Xin Xiong & Renjun Wang. (2019). The Segmented Dynamic Time Warping Algorithm for Beat-to-Beat Heart Rate Estimation based on Ballistocardiogram Signals. Journal of Fiber Bioengineering and Informatics. 6 (4). 415-425. doi:10.3993/jfbi12201306
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