Publications by authors named "Neelum Yousaf Sattar"
Sensors (Basel)
January 2022
Article Synopsis
- Prosthetic arms help individuals with amputations perform daily tasks, but current technology faces challenges in motion prediction and rehabilitation for transhumeral amputees.
- This study proposes a functional near-infrared spectroscopy (fNIRS) method to identify six specific upper limb motions by analyzing brain signals from both healthy individuals and transhumeral amputees.
- By utilizing an artificial neural network on the collected fNIRS data, the approach achieved a classification accuracy of 78%, indicating promising potential for real-time control of transhumeral prostheses.
