An algorithm for beat-to-beat heart rate detection from the BCG based on the continuous spline wavelet transform
| Autor: | Ramon Pallas-Areny, Carlos Alvarado-Serrano, Pablo S. Luna-Lozano |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. GRUP ISI - Grup d'Instrumentació, Sensors i Interfícies |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Heartbeat
Mean squared error Bal·listocardiografia Heart beat--Measurement Heart rate Beat (acoustics) Health Informatics 030204 cardiovascular system & hematology Medical instrumentation 03 medical and health sciences 0302 clinical medicine Heart--Diseases--Diagnosis BCG BALLISTOCARDIOGRAPHY BED Continuous wavelet transform Cor -- Batecs -- Fisiologia Mathematics ECG Spline wavelet Sistema nerviós autònom -- Fisiologia Tractament del senyal Confidence interval SIGNAL Signal Processing cardiovascular system Wavelet transform WEIGHING SCALE Algorithm 030217 neurology & neurosurgery Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions [Àrees temàtiques de la UPC] |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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