In this work, an electrocardiogram feature extraction algorithm is developed by analysing ECG signal in time domain. At first all R peaks are determined using amplitude and slope based criteria. Base line modulation was removed from ECG signal by making the midpoint of successive R to R regions to lie on the same horizontal line and thereby adjusting the values of all intermediate points proportionately. With respect to detected QRS peak positions, other wave peaks are determined based on slope and then amplitude based search in the respective searching zone. P, Q, R, S and T wave peak positions, their onset and offset points and their heights w.r.t. the baseline are calculated. The algorithm is validated with mit-db and ptb-db ECG data files over a number of class of abnormalities, and achieved an average variance and percentage error of 0.0020 and 1.88% for wave peak height computation. Copyright © 2013 Inderscience Enterprises Ltd.

RAJARSHI GUPTA

Applied Physics

MADHUCHHANDA MITRA

H K CHATTERJEE

University of Calcutta (informally known as Calcutta University or CU) is a collegiate public state university located in Kolkata, West Bengal, India.&nbsp;Within India it is recognized as a &quot;Five-Star University&quot; and accredited &quot;A&quot; Grade by National Assessment and Accreditation Council.

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The University of Calcutta has secured the Fifth position among the Universities of India in the prestigious &quot;Indian University Ranking 2019&quot; list, released by the NIRF of the Ministry of Human Resource Development, Government of India.

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It was established on 24 January 1857, and was one of the first institutions in Asia to be established as a multidisciplinary and Western-style university. Its alumni and faculty include several heads of state, heads of government, social reformers, prominent artists, only academy award winner and Dirac medal winner in India, many Fellows of the Royal Society and five Nobel laureates as of 2019 which is highest in South Asia.

University Of Calcutta

An approach to determine the amplitude features from ECG records

International Journal of Biomedical Engineering and Technology

The present paper proposes an accurate detection algorithm of QRS complex of ECG signal. Here, Hilbert Transform of the first derivative of the ECG signal is computed at first. In the transformed signal, samples having amplitudes within a certain threshold are marked. In the original ECG signal, locations, where those marked samples undergo slope reversals, are identified as the R-peaks. Q, S, QRS onset and offset points are also detected properly. A good degree of accuracy is achieved in Sensitivity (Se = 99.89%) and Positive Predictivity (PP = 99.93%) of R peak detection. R peak height and QRS duration measurement errors are also less. Copyright © 2012 Inderscience Enterprises Ltd.

QRS complex identification using Hilbert transform, variable threshold and slope reversal approach

Automatic ischaemic beats classification using Genetic-based Least Square Support Vector Machine

Fetal electrocardiogram extraction algorithm in noise: using BSE

Analysis of Ventricular Late Potentials using wavelets and FFT spectrum

Expert Systems with Applications

Identification of QRS complexes in 12-lead electrocardiogram

Journal	International Journal of Biomedical Engineering and Technology
Publisher	-
ISSN	1752-6418
Open Access	No