IJBTT

Evaluation of Misclassification Matrix Method in Validation of an Assistive Device for Manual Wheelchair Propulsion

Evaluation of Misclassification Matrix Method in Validation of an Assistive Device for Manual Wheelchair Propulsion
	© 2022 by IJETT Journal
	Volume-70 Issue-12
	Year of Publication : 2022
	Author : M. H. Muhammad Sidik, S. A. Che Ghani, Abdul Nasir, M.N.F. Saniman
	DOI : 10.14445/22315381/IJETT-V70I12P225

How to Cite?

M. H. Muhammad Sidik, S. A. Che Ghani, Abdul Nasir, M.N.F. Saniman, "Evaluation of Misclassification Matrix Method in Validation of an Assistive Device for Manual Wheelchair Propulsion," International Journal of Engineering Trends and Technology, vol. 70, no. 12, pp. 272-280, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I12P225

Abstract
Classification accuracy is essential in the bio signal’s performance-based assistive devices. In this study, surface electromyography (SEMG) signals acquisition was extracted from 3 healthy right-handed participants. SEMG signal was processed, and Motor Unit Action Potential (MUAP) was determined. Accuracy, precision, sensitivity and specificity were calculated in real-time based on individual MUAP, critically compared with pattern and non-pattern recognition control methods by Misclassification Matrix inserted into Arduino MEGA 2560 Microcontroller. The results indicated that the performance of each control method is different for every participant and a comparison tool is a must to select the best out of it. It shows that the misclassification matrix filtered the best control method for participant 1 as Probability Density Function, no for participant 2 and Maximum Point Different (MPD) for participant 3 based on determined conditions.

Keywords
Arduino, Misclassification matrix, MUAP, Surface electromyography, Wheelchair propulsion.

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