An algorithm for beat-to-beat heart rate detection from the BCG based on the continuous spline wavelet transform

•An algorithm for beat-to-beat heart rate detection from the BCG is proposed.•BCG is obtained from seated subjects.•Algorithm is based on the continuous wavelet transform with splines.•Algorithm detects J-wave peak of the BCG for heart rate calculation.•Good agreement between heart rates from BCG an...

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Bibliographic Details
Published in:Biomedical signal processing and control 2016-05, Vol.27, p.96-102
Main Authors: Alvarado-Serrano, Carlos, Luna-Lozano, Pablo Samuel, Pallàs-Areny, Ramon
Format: Article
Language:English
Subjects:
BALLISTOCARDIOGRAPHY
Bal·listocardiografia
Batecs
BCG
BED
Cor
Diagnosis
Diseases
ECG
Enginyeria de la telecomunicació
Fisiologia
Heart
Heart beat
Heart rate
Measurement
Processament del senyal
Processament del senyal en les telecomunicacions
SIGNAL
Sistema nerviós autònom
Tractament del senyal
Wavelet transform
WEIGHING SCALE
Àrees temàtiques de la UPC
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Summary:•An algorithm for beat-to-beat heart rate detection from the BCG is proposed.•BCG is obtained from seated subjects.•Algorithm is based on the continuous wavelet transform with splines.•Algorithm detects J-wave peak of the BCG for heart rate calculation.•Good agreement between heart rates from BCG and standard ECG was obtained. This work describes an algorithm intended to detect the beat-to-beat heart rate from the ballistocardiogram (BCG) obtained from seated subjects. The algorithm is based on the continuous wavelet transform with splines, which enables the selection of an optimum scale for reducing noise and mechanical interferences. The first step of the algorithm is a learning phase in which the first four heartbeats in the BCG are detected to define initial thresholds, search windows and interval limits. The learned parameters serve to identify the next heartbeat and are readapted after each heartbeat detected to follow the heart rate and signal-amplitude changes. To evaluate the agreement between results from the algorithm and the heart rate obtained from the ECG, a Bland–Altman plot has been used to compare them for seven seated subjects. The mean error obtained was −0.03beats/min and the 95% confidence interval (±2 SD) was ±2.7beats/min, which is within the accuracy limits recommended by the Association for the Advancement of Medical Instrumentation (AAMI) standard for heart rate meters.
ISSN:1746-8094
DOI:10.1016/j.bspc.2016.02.002