Bioelectrical impedance methods for noninvasive health monitoring: a review

TK Bera - Journal of medical engineering, 2014 - Wiley Online Library
Under the alternating electrical excitation, biological tissues produce a complex electrical
impedance which depends on tissue composition, structures, health status, and applied …

An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches

VA Ardeti, VR Kolluru, GT Varghese… - Expert Systems with …, 2023 - Elsevier
Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …

Remaining useful life prediction of rolling bearing based on multi-head attention embedded Bi-LSTM network

Y Shen, B Tang, B Li, Q Tan, Y Wu - Measurement, 2022 - Elsevier
Accurate rolling bearing remaining useful life (RUL) prediction is significant to evaluate
machine health state. The condition monitoring signals of rolling bearings contain amounts …

A Review of Intelligent Garment System for Bioelectric Monitoring During Long-Lasting Intensive Sports

D Shen, X Tao, V Koncar, J Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Bioelectric signals are significant indicators of the state of health of the human body,
especially in sports monitoring, where athletes' fatigue state and performance need to be …

Entropy index in quantitative EEG measurement for diagnosis accuracy

A Lay-Ekuakille, P Vergallo, G Griffo… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Electroencephalogram (EEG) remains the most immediate, simple, and rich source of
information for understanding phenomena related to brain electrical activities. It is certainly a …

Privacy-preserving authentication protocol for wireless body area networks in healthcare applications

H Ryu, H Kim - Healthcare, 2021 - mdpi.com
Mobile healthcare service has become increasingly popular thanks to the significant
advances in the wireless body area networks (WBANs). It helps medical professionals to …

Feature selection for ECG signal processing using improved genetic algorithm and empirical mode decomposition

L Lu, J Yan, CW de Silva - Measurement, 2016 - Elsevier
This paper proposes a novel scheme of feature selection, which employs a modified genetic
algorithm that uses a variable-range searching strategy and empirical mode decomposition …

Arrhythmia diagnosis of young martial arts athletes based on deep learning for smart medical care

J Zhuang, J Sun, G Yuan - Neural Computing and Applications, 2023 - Springer
Cardiovascular and cerebrovascular diseases are a serious threat to human health and
increase the annual death ratio at a considerable pace. This is not uncommon even among …

An efficient kalman noise canceller for cardiac signal analysis in modern telecardiology systems

A Sulthana, MZU Rahman, SS Mirza - IEEE Access, 2018 - ieeexplore.ieee.org
The monitoring of electrocardiography (ECG) in ambulatory conditions is an important task
for achieving success in remote healthcare monitoring. In this paper, Kalman-based …

[PDF][PDF] A lightweight and secure multilayer authentication scheme for wireless body area networks in healthcare system

M Fareed, AA Yassin - Int. J. Electr. Comput. Eng., 2023 - academia.edu
Wireless body area networks (WBANs) have lately been combined with different healthcare
equipment to monitor patients' health status and communicate information with their …