A critical review of feature extraction techniques for ECG signal analysis

V Gupta, M Mittal, V Mittal, NK Saxena - Journal of The Institution of …, 2021 - Springer
An Electrocardiogram (ECG) is a primary and most prevalent non-invasive test performed on
the subjects'(ie patients') with suspected heart problems. It helps in diagnosing important …

A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases

PM Tripathi, A Kumar, R Komaragiri… - Archives of Computational …, 2022 - Springer
Cardiac health of the human heart is an intriguing issue for many decades as cardiovascular
diseases (CVDs) are the leading cause of death worldwide. Electrocardiogram (ECG) signal …

Temporal Convolutional Networks with RNN approach for chaotic time series prediction

HV Dudukcu, M Taskiran, ZGC Taskiran, T Yildirim - Applied soft computing, 2023 - Elsevier
The prediction of chaotic time series, which constitutes many systems in the field of science
and engineering, has recently become the focus of attention of researchers. Chaotic time …

Detection of R-peaks using fractional Fourier transform and principal component analysis

V Gupta, M Mittal, V Mittal, Y Chaturvedi - Journal of Ambient Intelligence …, 2022 - Springer
An electrocardiogram (ECG) is world's most recognized, widely accepted and essential
primitive diagnostic tool to assess health status of heart of a subject (patient) by analyzing its …

Wavelet transform and vector machines as emerging tools for computational medicine

V Gupta - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Electrocardiogram (ECG) is a most primitive and important test to analyse the status of the
heart functioning. During this test, different types of noises and artefacts get involved in the …

An efficient AR modelling-based electrocardiogram signal analysis for health informatics

V Gupta, M Mittal, V Mittal… - International Journal of …, 2022 - inderscienceonline.com
Today, health informatics not only requires correct but also timely diagnosis much before the
occurrence of critical stage of the underlying disease. Electrocardiogram (ECG) is one such …

A novel FrWT based arrhythmia detection in ECG signal using YWARA and PCA

V Gupta, M Mittal, V Mittal - Wireless Personal Communications, 2022 - Springer
In general, Electrocardiogram (ECG) signal gets corrupted by variety of noise at the time of
its acquisition. Unfortunately, these noise tend to mask the crucial information …

PCA as an effective tool for the detection of R-peaks in an ECG signal processing

V Gupta, NK Saxena, A Kanungo, P Kumar… - International Journal of …, 2022 - Springer
Visual inspection of R-peaks in Electrocardiogram (ECG) signal is avoided because of
limited resolution and in the variation of parameters of the underlying subject (patient) …

FrWT-PPCA-based R-peak detection for improved management of healthcare system

V Gupta, M Mittal, V Mittal - IETE Journal of Research, 2023 - Taylor & Francis
Fourier analysis is well known to provide complete information of the frequencies present in
a signal. But in the process, time information is lost. Therefore, its time-frequency …

Chaos theory: an emerging tool for arrhythmia detection

V Gupta, M Mittal, V Mittal - Sensing and Imaging, 2020 - Springer
The heart is an important muscular organ of the human body which pumps blood throughout
the body. It is essential for human life. Timely and accurate assessment of the functioning of …