An enhanced method for real-time modelling of cardiac related biosignals using Gaussian mixtures

Cardiac related biosignals modelling is very important for detecting, classification, compression and transmission of such health-related signals. This paper introduces a new, fast and accurate method for modelling the cardiac related biosignals (ECG and PPG) based on a mixture of Gaussian waves. Fo...

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Bibliographic Details
Published in:Journal of medical engineering & technology 2017-11, Vol.41 (8), p.600-611
Main Author: Alqudah, Ali Mohammad
Format: Article
Language:English
Subjects:
Algorithms
Arrhythmias, Cardiac
Biosignals
ECG
Electrocardiography
Gaussian modelling
Heart - physiology
Heart Rate - physiology
Humans
modelling
PPG
Signal Processing, Computer-Assisted
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Summary:Cardiac related biosignals modelling is very important for detecting, classification, compression and transmission of such health-related signals. This paper introduces a new, fast and accurate method for modelling the cardiac related biosignals (ECG and PPG) based on a mixture of Gaussian waves. For any signal, at first, the start and end of the ECG beat or PPG pulse is detected, then the baseline is detected then subtracted from the original signal, after that the signal is divided into two signals positive and negative, each modelled separately then incorporated together to form the modelled signal. The proposed method is applied in the MIMIC, and MIT-BIH Arrhythmia databases available online at PhysioNet.
ISSN:0309-1902
1464-522X
DOI:10.1080/03091902.2017.1382587