Surface electromyography with wearable graphene textiles

Öztürk, Özberk and Yapıcı, Murat Kaya (2021) Surface electromyography with wearable graphene textiles. IEEE Sensors Journal, 21 (13). pp. 14397-14406. ISSN 1530-437X (Print) 1558-1748 (Online)

Full text not available from this repository. (Request a copy)

Abstract

In this study, we report the use of graphene-coated fabrics as textile electrodes in surface electromyography (sEMG) acquisition. Their performance was compared with that of wet silver/silver chloride (Ag/AgCl) electrodes for the signals that were taken from three different muscle groups. Comparisons were performed in terms of the skin-electrode impedance (SEI), signal-to-noise ratio (SNR) and cross correlation. SEI values of graphene textile electrodes ( $\sim 90\text{k}\Omega $ ) were found to be well within the range of commercial Ag/AgCl electrodes ( $\sim 50\text{k}\Omega $ ). At 2 kg load, SNR values of 19.23 dB from triceps brachii, 27.18 dB from biceps brachii, and 28.13 dB from quadriceps femoris muscles were obtained, respectively; which showed that performance of graphene textile electrodes in static settings is at minimum 94% of clinical signal quality both in terms of SNR and similarity of signal morphologies in terms of cross correlation. After benchmarking the electrode performance, a proof of concept fully textile elastic band and a mobile acquisition circuit were combined to further validate the feasibility of surface electromyography with wearable graphene textiles through a step counter application, where the implemented wearable graphene textile-based step counter achieved on average a success rate above 90% for varying speed levels and up to a maximum of 98%. Results suggests that graphene textiles could be a viable alternative to gelled Ag/AgCl electrodes and can be used to develop wearable, smart garment applications.
Item Type: Article
Uncontrolled Keywords: e-textile; Electrode; EMG; flexible; graphene; health monitoring; IOT; m-health; step counter; surface electromyography (sEMG); wearable
Divisions: Faculty of Engineering and Natural Sciences
Sabancı University Nanotechnology Research and Application Center
Depositing User: Murat Kaya Yapıcı
Date Deposited: 31 Aug 2022 17:23
Last Modified: 31 Aug 2022 17:23
URI: https://research.sabanciuniv.edu/id/eprint/43596

Actions (login required)

View Item
View Item