Acar, Gizem and Öztürk, Özberk and Jedari Golparvar, Ata and Elboshra, Tamador Alkhidir and Bohringer, Karl and Yapıcı, Murat Kaya (2019) Wearable and flexible textile electrodes for biopotential signal monitoring: a review. Electronics, 8 (5). ISSN 2079-9292
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Official URL: http://dx.doi.org/10.3390/electronics8050479
Abstract
Wearable electronics is a rapidly growing field that recently started to introduce successful commercial products into the consumer electronics market. Employment of biopotential signals in wearable systems as either biofeedbacks or control commands are expected to revolutionize many technologies including point of care health monitoring systems, rehabilitation devices, human-computer/machine interfaces (HCI/HMIs), and brain-computer interfaces (BCIs). Since electrodes are regarded as a decisive part of such products, they have been studied for almost a decade now, resulting in the emergence of textile electrodes. This study presents a systematic review of wearable textile electrodes in physiological signal monitoring, with discussions on the manufacturing of conductive textiles, metrics to assess their performance as electrodes, and an investigation of their application in the acquisition of critical biopotential signals for routine monitoring, assessment, and exploitation of cardiac (electrocardiography, ECG), neural (electroencephalography, EEG), muscular (electromyography, EMG), and ocular (electrooculography, EOG) functions.
Item Type: | Article |
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Uncontrolled Keywords: | biopotential monitoring; biosignal acquisition; conductive textile; eHealth; e-textile; IoT; long-term monitoring; health monitoring; mHealth; smart textile; textile electrodes; dry electrode; Ag; AgCl electrode; wearable computing; wearable electronics; flexible electronics; vital signs; electrocardiography; electroencephalography; electromyography; electrooculography; ECG; EEG; EMG; EOG; assistive devices; neural monitoring; cardiac monitoring; rehabilitation; eye tracking; sleep monitoring; muscular monitoring; prosthetics; gesture; human computer interaction; human machine interface; personalized healthcare |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Materials Science & Eng. Sabancı University Nanotechnology Research and Application Center Faculty of Engineering and Natural Sciences |
Depositing User: | Murat Kaya Yapıcı |
Date Deposited: | 26 Aug 2019 23:05 |
Last Modified: | 23 Jul 2023 14:41 |
URI: | https://research.sabanciuniv.edu/id/eprint/38197 |