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 …
Efficient ECG data compression and transmission algorithm for telemedicine
CK Jha, MH Kolekar - 2016 8th International Conference on …, 2016 - ieeexplore.ieee.org
This paper presents an efficient electrocardiogram (ECG) data compression and
transmission algorithm based on discrete wavelet transform and run length encoding. The …
transmission algorithm based on discrete wavelet transform and run length encoding. The …
[图书][B] Instrumentation of fast widefield photoacoustic microscopy system with high fidelity data enhancement and storage
M Zafar - 2022 - search.proquest.com
Laser scanning photoacoustic microscopy (LS-PAM) is a simple instrumentation of
photoacoustic microscopy (PAM) system. However, existing LS-PAM systems pose some …
photoacoustic microscopy (PAM) system. However, existing LS-PAM systems pose some …
Arrhythmia ECG beats classification using wavelet-based features and support vector machine classifier
CK Jha, MH Kolekar - Advanced classification techniques for …, 2019 - igi-global.com
Abnormal behavior of heart muscles generates irregular heartbeats which are collectively
known as arrhythmia. Classification of arrhythmia beats plays a prominent role in …
known as arrhythmia. Classification of arrhythmia beats plays a prominent role in …
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 …
[HTML][HTML] Hybrid efficient compression method for electrocardiogram signal transmission based on discrete wavelet transform and principal component analysis
AS Abdulbaqi - 2023 - ir.upsi.edu.my
In this study, the researcher proposed a new approach for the compression of ECG signals
by reducing the ECG data size for storage purposes which could speedily transmit data from …
by reducing the ECG data size for storage purposes which could speedily transmit data from …
Bagged tree classification of arrhythmia using wavelets for denoising, compression, and feature extraction
Ö TOMAK, T KAYIKÇIOĞLU - Turkish Journal of Electrical …, 2018 - journals.tubitak.gov.tr
Arrhythmia, also known as dysrhythmia, is a condition involving an irregular heartbeat. A
problem in the heart may cause problems in other organs, and as time passes, this will lead …
problem in the heart may cause problems in other organs, and as time passes, this will lead …
New improved methodology for ECG signal compression
RV Tornekar, SS Gajre - 2017 Computing in Cardiology (CinC), 2017 - ieeexplore.ieee.org
ECG of a person is being recorded for diagnosis of heart diseases, regular checkups, fitness
and many other diseases also. Hence, huge amount of ECG data is being generated daily in …
and many other diseases also. Hence, huge amount of ECG data is being generated daily in …
Research on detecting abnormal signal of DC motor current using deep learning
HM Yeh, JY Huang, CH Lin, MD Ke… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In this study, the motor running audio is obtained from mobile devices and other equipment.
First, the continuous wavelet transform (CWT) operation converts the audio into a time …
First, the continuous wavelet transform (CWT) operation converts the audio into a time …
S-Transform-Based Electroencephalography Seizure Detection and Prediction
SA Grabat, AS Ashour, MM Abd Elnaby… - … Africa Conference on …, 2019 - ieeexplore.ieee.org
Epilepsy is a fatal disease worldwide, which is considered as the second most common
brain disease. It can be represented by an electroencephalogram (EEG) signal for epileptic …
brain disease. It can be represented by an electroencephalogram (EEG) signal for epileptic …