[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Review on compressive sensing algorithms for ECG signal for IoT based deep learning framework

SS Kumar, P Ramachandran - Applied Sciences, 2022 - mdpi.com
Nowadays, healthcare is becoming very modern, and the support of Internet of Things (IoT)
is inevitable in a personal healthcare system. A typical personal healthcare system acquires …

Electrocardiogram signal compression using singular coefficient truncation and wavelet coefficient coding

R Kumar, A Kumar, GK Singh - IET Science, Measurement & …, 2016 - Wiley Online Library
In this study, an inter‐and intra‐beat correlation‐based compression technique for
electrocardiogram (ECG) signal is proposed using singular coefficient truncation, based on …

Meta-Analysis approach to assess ECG compression methods: A systematic Review

V Aggarwal, S Gupta, MS Patterh - 2023 14th International …, 2023 - ieeexplore.ieee.org
In present era, technological advancements make it possible to develop better telehealth
care and monitoring system for those patients who are at remote locations. It became …

A novel biometric authentication approach using electrocardiogram signals

H Gürkan, U Guz, BS Yarman - 2013 35th Annual International …, 2013 - ieeexplore.ieee.org
In this work, we present a novel biometric authentication approach based on combination of
AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The …

Electrocardiogram Signal Compression Using Deep Convolutional Autoencoder with Constant Error and Flexible Compression Rate

T Bekiryazıcı, G Aydemir, H Gürkan - IRBM, 2024 - Elsevier
Objectives Electrocardiogram (ECG) signals are beneficial for diagnosing cardiac diseases.
The cardiac patients' life quality likely increases with continuous or long-period recording …

Complex study on compression of ECG signals using novel single-cycle fractal-based algorithm and SPIHT

A Nemcova, M Vitek, M Novakova - Scientific reports, 2020 - nature.com
Compression of ECG signal is essential especially in the area of signal transmission in
telemedicine. There exist many compression algorithms which are described in various …

A novel human identification system based on electrocardiogram features

H Gurkan, U Guz, BS Yarman - International Symposium on …, 2013 - ieeexplore.ieee.org
In this work we present a novel biometric authentication approach based on combination of
AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The …

Modified soft rough set based ECG signal classification for cardiac arrhythmias

SS Kumar, HH Inbarani - Big Data in Complex Systems: Challenges and …, 2015 - Springer
The objective of the present study is ECG signal classification for cardiac arrhythmias. Most
of the pattern reorganization techniques involve significantly large amounts of computation …

Comparative study of lossless ECG signal compression techniques for wireless networks

RV Tornekar, SS Gajre - 2017 Computing in Cardiology (CinC), 2017 - ieeexplore.ieee.org
Electrocardiogram (ECG) is an important physiological signal which represents electrical
activity of Heart. ECG plays important role in diagnosis of cardiovascular diseases …