The Segmented Dynamic Time Warping Algorithm for Beat-to-Beat Heart Rate Estimation based on Ballistocardiogram Signals
DOI:
10.3993/jfbi12201306
Journal of Fiber Bioengineering & Informatics, 6 (2013), pp. 415-425.
Published online: 2013-06
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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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