ECG monitoring systems: Review, architecture, processes, and key challenges

MA Serhani, H T. El Kassabi, H Ismail, A Nujum Navaz - Sensors, 2020 - mdpi.com
Health monitoring and its related technologies is an attractive research area. The
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …

Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

CV Anikwe, HF Nweke, AC Ikegwu… - Expert Systems with …, 2022 - Elsevier
Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …

Internet of things and deep learning enabled healthcare disease diagnosis using biomedical electrocardiogram signals

A Khanna, P Selvaraj, D Gupta, TH Sheikh… - Expert …, 2023 - Wiley Online Library
With recent advancements in the internet of things (IoT), wearables, and sensing
technologies, the quality of healthcare services gets improved and it caused a shift from …

Population-based screening for atrial fibrillation

S Khurshid, JS Healey, WF McIntyre… - Circulation research, 2020 - Am Heart Assoc
Atrial fibrillation (AF) is a common and morbid arrhythmia. Stroke is a major hazard of AF
and may be preventable with oral anticoagulation. Yet since AF is often asymptomatic, many …

[HTML][HTML] Cost-effectiveness of screening for atrial fibrillation using wearable devices

W Chen, S Khurshid, DE Singer, SJ Atlas… - JAMA Health …, 2022 - jamanetwork.com
Importance Undiagnosed atrial fibrillation (AF) is an important cause of stroke. Screening for
AF using wrist-worn wearable devices may prevent strokes, but their cost-effectiveness is …

[HTML][HTML] Accuracy of mHealth devices for atrial fibrillation screening: systematic review

GD Giebel, C Gissel - JMIR mHealth and uHealth, 2019 - mhealth.jmir.org
Background: Mobile health (mHealth) devices can be used for the diagnosis of atrial
fibrillation. Early diagnosis allows better treatment and prevention of secondary diseases …

Segmentation of the ECG signal by means of a linear regression algorithm

J Aspuru, A Ochoa-Brust, RA Félix, W Mata-López… - Sensors, 2019 - mdpi.com
The monitoring and processing of electrocardiogram (ECG) beats have been actively
studied in recent years: new lines of research have even been developed to analyze ECG …

[HTML][HTML] A comparison of emotion recognition system using electrocardiogram (ECG) and photoplethysmogram (PPG)

SNMS Ismail, NAA Aziz, SZ Ibrahim - Journal of King Saud University …, 2022 - Elsevier
Abstract Electrocardiogram (ECG) and Photoplethysmogram (PPG) are derived from
electrical signals of the heart activities and frequently used to diagnose and monitor …

[HTML][HTML] Advances in telemedicine for the management of the elderly cardiac patient

N El Jamal, B Abi-Saleh, H Isma'eel - Journal of Geriatric …, 2021 - ncbi.nlm.nih.gov
Telemedicine is the use of information and communication technology to deliver healthcare
at a distance. It has been resorted to during the COVID-19 pandemic to lessen the need for …

Predictive accuracy of a clinical and genetic risk model for atrial fibrillation

S Khurshid, N Mars, CM Haggerty… - Circulation: Genomic …, 2021 - Am Heart Assoc
Background: Atrial fibrillation (AF) risk estimation using clinical factors with or without genetic
information may identify AF screening candidates more accurately than the guideline-based …