A review of different ECG classification/detection techniques for improved medical applications

V Gupta, NK Saxena, A Kanungo, A Gupta… - International Journal of …, 2022 - Springer
Electrocardiogram (ECG) is an important diagnostic tool in medical engineering, presented
in the form of electrical signal. Its complete analysis requires three stages viz. pre …

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 …

ECG signal analysis using CWT, spectrogram and autoregressive technique

V Gupta, M Mittal, V Mittal, A Gupta - Iran Journal of Computer Science, 2021 - Springer
The cardiovascular system is a combination of the heart, blood and blood vessels.
Cardiovascular diseases (CVD) are a key factor behind casualties worldwide among both …

Spectrogram as an emerging tool in ECG signal processing

V Gupta, M Mittal, V Mittal, NK Saxena - Recent Advances in Manufacturing …, 2022 - Springer
These days signal processing has the great importance in extracting important pathological
attributes of the subject (patient). This paper covers important aspects of Electrocardiogram …

A review study for electrocardiogram signal classification

LA Abdulla, MS Al-Ani - UHD Journal of Science and …, 2020 - journals.uhd.edu.iq
An electrocardiogram (ECG) signal is a recording of the electrical activity generated by the
heart. The analysis of the ECG signal has been interested in more than a decade to build a …

An efficient FrWT and IPCA tools for an automated healthcare CAD system

V Gupta, NK Saxena, A Kanungo, Salim… - Wireless Personal …, 2023 - Springer
Continuous monitoring of physiological parameters is critical in order to minimize casualties,
therefore automated healthcare computer-assisted diagnostic systems require efficient …

Evaluation of electrocardiogram: Numerical vs. image data for emotion recognition system

SNMS Ismail, NA Ab Aziz, SZ Ibrahim… - …, 2022 - pmc.ncbi.nlm.nih.gov
Background: The electrocardiogram (ECG) is a physiological signal used to diagnose and
monitor cardiovascular disease, usually using 2-D ECG. Numerous studies have proven that …

Low-cost ecg monitoring system with classification using deep learning

H Saadi, M Ferroukhi, YL Elghandja… - … on Advances in …, 2023 - ieeexplore.ieee.org
Electrocardiogram (ECG) signals are widely used as one of the most important tests in
medical practice to assess the condition of a patient's heart by placing electrodes on the …

An efficient algorithm for the removal of motion artifacts in wearable ECG technology

J Rahul, M Sora - Iran Journal of Computer Science, 2024 - Springer
Wearable electrocardiogram (ECG) devices are pivotal for healthcare monitoring; however,
artifacts, especially from non-contact capacitive electrodes, can significantly compromise …

A robust continuous wavelet transform (CWT) based for R-peak detection method of ECG

LE Sahmarany, M Alshammari, M Tamal, A Alomari - medRxiv, 2023 - medrxiv.org
Cardiovascular disease is the main cause of death worldwide. An electrocardiogram (ECG)
signals is typically used as the first diagnosis tool to detect abnormality in the heart signal …