Motion artifacts in capacitive ECG monitoring systems: a review of existing models and reduction techniques

M Khalili, H GholamHosseini, A Lowe… - Medical & Biological …, 2024 - Springer
Current research focuses on improving electrocardiogram (ECG) monitoring systems to
enable real-time and long-term usage, with a specific focus on facilitating remote monitoring …

[HTML][HTML] A New Era in Stress Monitoring: A Review of Embedded Devices and Tools for Detecting Stress in the Workplace

J Kafková, P Kuchár, R Pirník, M Skuba, T Tichý, J Brož - Electronics, 2024 - mdpi.com
Detection of stress and the development of innovative platforms for stress monitoring have
attracted significant attention in recent years due to the growing awareness of the harmful …

Internet of Things-based ECG and vitals healthcare monitoring system

J Heaney, J Buick, MU Hadi, N Soin - Micromachines, 2022 - mdpi.com
Health monitoring and its associated technologies have gained enormous importance over
the past few years. The electrocardiogram (ECG) has long been a popular tool for assessing …

Human body–electrode interfaces for wide-frequency sensing and communication: A review

K Polachan, B Chatterjee, S Weigand, S Sen - Nanomaterials, 2021 - mdpi.com
Several on-body sensing and communication applications use electrodes in contact with the
human body. Body–electrode interfaces in these cases act as a transducer, converting ionic …

Low-power multi-lead wearable ECG system with sensor data compression

LH Wang, ZH Zhang, WP Tsai, PC Huang… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
This study proposes a low-power wearable electrocardiogram (ECG) acquisition system for
monitoring human health in daily life. A flexible sensing electrode was designed to replace …

Design of smart steering wheel for unobtrusive health and drowsiness monitoring

B Babusiak, A Hajducik, S Medvecky, M Lukac… - Sensors, 2021 - mdpi.com
This article describes the design of a smart steering wheel intended for use in unobtrusive
health and drowsiness monitoring. The aging population, cardiovascular disease …

Comparison of the representational ability in individual difference analysis using 2-D time-series image and time-series feature patterns

J Li, Q Wang - Expert Systems with Applications, 2023 - Elsevier
Physiological signals, as crucial indicators for measuring physical health, must be acquired
by model learning, but the modeling and analysis performance is strongly affected by …

Digital phenotyping in child and adolescent psychiatry: a perspective

M Nisenson, V Lin, M Gansner - Harvard Review of Psychiatry, 2021 - journals.lww.com
Digital phenotyping (DP) provides opportunities to study child and adolescent psychiatry
from a novel perspective. DP combines objective data obtained from digital sensors with …

Size constraint to limit interference in drl-free single-ended biopotential measurements

VA Catacora, FN Guerrero, EM Spinelli - Journal of Medical and Biological …, 2022 - Springer
Purpose In this work, it is shown that small, battery-powered wireless devices are so robust
against electromagnetic interference that single-ended amplifiers can become a viable …

Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification

T Subba, T Chingtham - IEEE Access, 2024 - ieeexplore.ieee.org
Electrocardiogram is a heartbeat signal that can be used for the application of Human-
computer interaction. Electrocardiography (ECG) is a prominent way to analyze heart rate …