Electrocardiogram data compression techniques for cardiac healthcare systems: A methodological review
CK Jha, MH Kolekar - Irbm, 2022 - Elsevier
Abstract Objective: Globally, cardiovascular diseases (CVDs) are one of the most leading
causes of death. In medical screening and diagnostic procedures of CVDs …
causes of death. In medical screening and diagnostic procedures of CVDs …
Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier
CK Jha, MH Kolekar - Biomedical Signal Processing and Control, 2020 - Elsevier
Electrocardiogram (ECG) is a non-invasive clinical tool that reveals the rhythm and
functionality of the human heart. It is widely used in the diagnosis of heart diseases including …
functionality of the human heart. It is widely used in the diagnosis of heart diseases including …
iKardo: An Intelligent ECG device for automatic critical beat identification for smart healthcare
In medical practices, the detection of diseases highly depends on different medical tests.
Electrocardiogram (ECG) technique is commonly used for heart disease diagnosis. Doctors …
Electrocardiogram (ECG) technique is commonly used for heart disease diagnosis. Doctors …
Automated cardiac arrhythmia detection techniques: a comprehensive review for prospective approach
CK Jha - Computer Methods in Biomechanics and Biomedical …, 2024 - Taylor & Francis
Abnormal cardiac functionality produces irregular heart rhythms which are commonly known
as arrhythmias. In some conditions, arrhythmias are treated as very dangerous which may …
as arrhythmias. In some conditions, arrhythmias are treated as very dangerous which may …
ECG signal analysis for automated cardiac arrhythmia detection
CK Jha - AI-Enabled Smart Healthcare Using Biomedical …, 2022 - igi-global.com
The graphical recordings of electrical stimuli generated by heart muscle cells are known as
an electrocardiogram (ECG). In cardiology, ECG is widely used to detect different …
an electrocardiogram (ECG). In cardiology, ECG is widely used to detect different …
基于改进残差网络对心电信号的识别.
潘辉， 郑威， 张莹莹 - … of Data Acquisition & Processing/Shu …, 2020 - search.ebscohost.com
心血管疾病是当今人类死亡的主要原因之一. 本文基于改进的残差网络对心电信号进行识别,
并将改进后的残差网络和空洞卷积进行结合, 特征提取时保持局部信息不变的同时尽可能地提取 …
并将改进后的残差网络和空洞卷积进行结合, 特征提取时保持局部信息不变的同时尽可能地提取 …
Classification of human heart signals by novel feature extraction techniques for rescue application
In the paper, the methodology of detecting the heart rate signal wirelessly with regards to
use it as an applications as an emerging tool for health care in emergency and surveillance …
use it as an applications as an emerging tool for health care in emergency and surveillance …
Quality-Controlled ECG Data Compression and Classification for Cardiac Healthcare Devices
CK Jha - AI-Enabled Smart Healthcare Using Biomedical …, 2022 - igi-global.com
Electrocardiogram (ECG) signals are widely used by cardiologists for the early detection of
cardiovascular diseases (CVDs). In the early detection of CVDs, long-term ECG data is used …
cardiovascular diseases (CVDs). In the early detection of CVDs, long-term ECG data is used …
Prediction and Classification of Cardiac Arrhythmia Using a Machine Learning Approach
TJ Iyer, B Kishan, R Nersisson - … , and Control: Select Proceedings of i …, 2021 - Springer
Arrhythmia is a very common cardiac problem that occurs frequently all over the world. In
order to diagnose early stage arrhythmia, this paper explores nine different machine …
order to diagnose early stage arrhythmia, this paper explores nine different machine …