Wrist Intent Recginiton System for Advanced Robotic-Assisted Stroke Rehabilitation
Disciplines
Biomedical | Electrical and Computer Engineering
Abstract (300 words maximum)
This project analyzes the data output of EMG (Electromyography) sensors applied to wrist movement. This project currently uses a device called the Mindrove armband. This device has 8 EMG channels. The goal is to create a model with the data in order to be used to advance rehabilitative assistance capabilities. This model will be used, eventually, to compare to recovering patients in rehabilitation, specifically stroke rehabilitation. The experimental data is collected by placing EMG sensors on healthy subjects and having them use a wrist rehabilitative device. We then collect the data from these healthy subjects and analyze it.
Academic department under which the project should be listed
SPCEET - Electrical and Computer Engineering
Primary Investigator (PI) Name
Coskun Tekes
Wrist Intent Recginiton System for Advanced Robotic-Assisted Stroke Rehabilitation
This project analyzes the data output of EMG (Electromyography) sensors applied to wrist movement. This project currently uses a device called the Mindrove armband. This device has 8 EMG channels. The goal is to create a model with the data in order to be used to advance rehabilitative assistance capabilities. This model will be used, eventually, to compare to recovering patients in rehabilitation, specifically stroke rehabilitation. The experimental data is collected by placing EMG sensors on healthy subjects and having them use a wrist rehabilitative device. We then collect the data from these healthy subjects and analyze it.