Robust Heartbeat Detector Based on Weighted Correlation and Multichannel Input: Implementation on the ECG Recorded with Textile Electrodes
L Rattfält, M Lindén, P Hult, P Ask… - International Journal of E …, 2013 - igi-global.com
The aim of this study was to develop and evaluate a robust heartbeat detector for noisy
electrocardiograms (ECGs) recorded with textile electrodes. The authors suggest a method
based on weighted correlation in a multi-channel ECG to obtain a heartbeat detector.
Signals were acquired during rest and at movements which simulate every day activities.
From each recording a segment corresponding to a heartbeat was extracted and correlated
with the whole signal. From the correlation data, heartbeat candidates were derived and …
electrocardiograms (ECGs) recorded with textile electrodes. The authors suggest a method
based on weighted correlation in a multi-channel ECG to obtain a heartbeat detector.
Signals were acquired during rest and at movements which simulate every day activities.
From each recording a segment corresponding to a heartbeat was extracted and correlated
with the whole signal. From the correlation data, heartbeat candidates were derived and …
[PDF][PDF] Robust Heartbeat Detector Based on Weighted Correlation and Multichannel Input
P Hult, P Ask - 2013 - researchgate.net
The aim of this study was to develop and evaluate a robust heartbeat detector for noisy
electrocardiograms (ECGs) recorded with textile electrodes. The authors suggest a method
based on weighted correlation in a multi-channel ECG to obtain a heartbeat detector.
Signals were acquired during rest and at movements which simulate every day activities.
From each recording a segment corresponding to a heartbeat was extracted and correlated
with the whole signal. From the correlation data, heartbeat candidates were derived and …
electrocardiograms (ECGs) recorded with textile electrodes. The authors suggest a method
based on weighted correlation in a multi-channel ECG to obtain a heartbeat detector.
Signals were acquired during rest and at movements which simulate every day activities.
From each recording a segment corresponding to a heartbeat was extracted and correlated
with the whole signal. From the correlation data, heartbeat candidates were derived and …
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