The electrocardiogram (ECG) signal consists of vital information that can be used in
detecting various heart diseases. R-peaks in ECG signal play a major role in the diagnosis …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Obstructive Sleep Apnea (OSA) is one of the main under-diagnosed sleep disorder. It is an
aggravating factor for several serious cardiovascular diseases, including stroke. There is …

Automatic detection of the QRS complexes/R-peaks in an electrocardiogram (ECG) signal is
the most important step preceding any kind of ECG processing and analysis. The …

Body-worn sensor systems will help to revolutionize the medical field by providing a source
of continuously collected patient data. This data can be used to develop and track plans for …

This work is devoted to the evaluation of multilead digital wavelet transform (DWT)-based
electrocardiogram (ECG) wave delineation algorithms, which were optimized and ported to …

With the increasing usage of wearable electrocardiogram (ECG) monitoring devices, it is
necessary to develop models and algorithms that can analyze the large amounts of ECG …

Background Since the first well-known electrocardiogram (ECG) delineator based on
Wavelet Transform (WT) presented by Li et al. in 1995, a significant research effort has been …

This paper presents an automated real-time atrial fibrillation (AF) detection approach that
relies on the observation of two characteristic irregularities of AF episodes in the …

Ubiquitous deployment of low cost wearable healthcare devices and proactive monitoring of
vital physiological data, are widely seen as a solution for the high costs and risks associated …