title: A comprehensive survey of wearable and wireless ECG monitoring systems for older adults.
abstract: Wearable health monitoring is an emerging technology for continuous monitoring of vital signs including the electrocardiogram (ECG). This signal is widely adopted to diagnose and assess major health risks and chronic cardiac diseases. This paper focuses on reviewing wearable ECG monitoring systems in the form of wireless, mobile and remote technologies related to older adults. Furthermore, the efficiency, user acceptability, strategies and recommendations on improving current ECG monitoring systems with an overview of the design and modelling are presented. In this paper, over 120 ECG monitoring systems were reviewed and classified into smart wearable, wireless, mobile ECG monitoring systems with related signal processing algorithms. The results of the review suggest that most research in wearable ECG monitoring systems focus on the older adults and this technology has been adopted in aged care facilitates. Moreover, it is shown that how mobile telemedicine systems have evolved and how advances in wearable wireless textile-based systems could ensure better quality of healthcare delivery. The main drawbacks of deployed ECG monitoring systems including imposed limitations on patients, short battery life, lack of user acceptability and medical professional's feedback, and lack of security and privacy of essential data have been also discussed.
authors: Department of Electrical and Electronics Engineering, School of Engineering Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand. mirza.baig@aut.ac.nz
authors: Mirza Mansoor
authors: MM
authors: Baig
authors: Hamid
authors: H
authors: Gholamhosseini
authors: Martin J
authors: MJ
authors: Connolly
mesh_terms: D000465:Algorithms; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D006801:Humans; D058998:Remote Sensing Technology / Q000295:instrumentation* / Q000379:methods; D012815:Signal Processing, Computer-Assisted; D012984:Software; D017216:Telemedicine / Q000295:instrumentation* / Q000379:methods