An algorithm for beat-to-beat heart rate detection from the BCG based on the continuous spline wavelet transform
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...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/100409 |
| Acceso en línea: | https://hdl.handle.net/2117/100409 https://dx.doi.org/10.1016/j.bspc.2016.02.002 |
| Access Level: | acceso abierto |
| Palabra clave: | Heart--Diseases--Diagnosis Heart beat--Measurement BCG Heart rate Wavelet transform WEIGHING SCALE BALLISTOCARDIOGRAPHY SIGNAL BED ECG Tractament del senyal Sistema nerviós autònom -- Fisiologia Cor -- Batecs -- Fisiologia Bal·listocardiografia Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions |
| Sumario: | 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 -0.03 beats/min and the 95% confidence interval (+/- 2 SD) was +/- 2.7 beats/min, which is within the accuracy limits recommended by the Association for the Advancement of Medical Instrumentation (AAMI) standard for heart rate meters. (C) 2016 Elsevier Ltd. All rights reserved. |
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