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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/10061/1/Muhammad_Afiq_Bin_Dzulkifli.jpg http://studentsrepo.um.edu.my/10061/8/afiq.pdf http://studentsrepo.um.edu.my/10061/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
