A Low-Complexity ECG Feature Extraction Algorithm for Mobile Healthcare Applications

This paper introduces a low-complexity algorithm for the extraction of the fiducial points from the electrocardiogram (ECG). The application area we consider is that of remote cardiovascular monitoring, where continuous sensing and processing takes place in low-power, computationally constrained dev...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics Jg. 17; H. 2; S. 459 - 469
Hauptverfasser:	Mazomenos, E. B., Biswas, D., Acharyya, A., Taihai Chen, Maharatna, K., Rosengarten, J., Morgan, J., Curzen, N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2013 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Databases, Factual Discrete wavelet transform (DWT) Discrete wavelet transforms electrocardiogram (ECG) feature extraction Electrocardiography Electrocardiography - methods Feature extraction Humans low complexity algorithm mobile healthcare Monitoring Monitoring systems Noise Signal processing Signal processing algorithms Studies Wavelet Analysis
ISSN:	2168-2194, 2168-2208, 2168-2208
Online-Zugang:	Volltext
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