Neural network-based muscle torque prediction using mechanomyography during electrically-evoked knee extension and standing in spinal cord injured patients / Muhammad Afiq Dzulkifli

Neural network-based muscle torque prediction using mechanomyography during electrically-evoked knee extension and standing in spinal cord injured patients / Muhammad Afiq Dzulkifli

This study sought to design and deploy a torque monitoring system using an artificial neural network (ANN) with mechanomyography (MMG) for situations where torque cannot be independently quantified. The MMG signals from the quadriceps were used to derive muscle torques during prolonged functional...

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Bibliographic Details
Main Author: Muhammad Afiq, Dzulkifli
Format: Thesis
Published: 2019
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://studentsrepo.um.edu.my/10061/
http://studentsrepo.um.edu.my/10061/1/Muhammad_Afiq_Bin_Dzulkifli.jpg
http://studentsrepo.um.edu.my/10061/8/afiq.pdf

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