Portable Face-Shielding Device Based on sEMG Considering the COVID-19 Scenario

Lyu, Tian, Liu, Dong Yang, Shao, Chen and Zhang, ZiJie 2023. Portable Face-Shielding Device Based on sEMG Considering the COVID-19 Scenario. Journal of Healthcare Engineering 2023 10.1155/2023/8231073

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Abstract

Wearing a mask greatly reduced the possibility of infection during the COVID-19 pandemic. However, major inconveniences occur regarding patients with upper limb amputations, as they cannot independently wear masks. As a result, bacterial contamination is caused by medical staff touching the quilt when helping. Furthermore, this effect can occur with ordinary people due to accidental touch. This research aims to design an automatic and portable face shield assistive device based on surface electromyography (sEMG) signals. A concise face shield-wearing mechanism was built through 3D printing. A novel decision-making control method regarding a feature extraction model of 16 signal features and a Softmax classification neural network model were developed and tested on an STM32 microcontroller unit (MCU). The optimized electrode was fabricated using a carbon nanotube (CNT)/polydimethylsiloxane (PDMS). The design was further integrated and tested, showing a promising future for further implementation.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Physics and Astronomy
Additional Information:	License information from Publisher: LICENSE 1: URL: https://creativecommons.org/licenses/by/4.0/
Publisher:	Multi-Science Publishing
ISSN:	2040-2295
Date of First Compliant Deposit:	17 July 2023
Date of Acceptance:	2 April 2022
Last Modified:	18 Jul 2023 02:58
URI:	https://orca.cardiff.ac.uk/id/eprint/161071

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