Engel, Daniel Johannes and Wicaksono, Dedy H. B and Iskandar, Aulia Arif (2021) Respiratory Assessment Using CNT Mechanomyography for Monitoring Breathing Activity and Defects in Lungs Due To SARS COV-2 Virus Infection. Bachelor thesis, Swiss German University.

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Abstract

Mechanomyography (MMG) is a method for measuring muscle mechanical activity it is often use to monitor muscle for activity of daily living such as sit, stand and walking motion. Other than MMG it has a more well-known alternative, which is Electromyography (EMG). EMG are also used for measuring muscle activity however it measures the electrical potential of the muscle. EMG are well known to be more reliable alternatives to MMG, however EMG are considered too pricy to obtain and most of them are invasive. Hence it come CNT Mechanomyography, an affordable and non-invasive MMG sensor. It is a Thread base coated with multiple carbon nanotube wall and are sewn to kinesiology tape that will attach to the human skin above the muscle. This study aimed to see the muscle activity of breathing activity so it would be possible to monitor recovery state of a COVID-19 patient with a wireless wearable MMG that could be taken home for home monitoring, thus minimizing the risk of virus transmission. The device is consisting of Wheatstone bridge with a digital potentiometer, amplifier, a microcontroller with a Wi-Fi module. The experiment is done while comparing it with a visual base respiratory tracker. By the end of this research, it can be concluded that the MMG could detect the respiratory muscles signals.

Item Type:	Thesis (Bachelor)
Subjects:	R Medicine > R Medicine (General) > R856 Biomedical engineering R Medicine > RC Internal medicine > RC740 Respiratory infections R Medicine > RC Internal medicine > RC776 SARS (Disease)
Divisions:	Faculty of Life Sciences and Technology > Department of Biomedical Engineering
Depositing User:	Faisal Ifzaldi
Date Deposited:	04 Jan 2022 14:43
Last Modified:	04 Jan 2022 14:43
URI:	http://repository.sgu.ac.id/id/eprint/2269

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