Assistant Professor Ahmed Abdul Sattar Mohammed, a faculty member in the Department of Computer and Informatics Engineering at the College of Electronics Engineering, Ninevah University, participated as a member of the examination committee for the defence of a Technical Master’s thesis submitted by student Mohammed Laith Salem Ahmed, in the field of Medical Instrumentation Engineering Technologies, at the Technical Engineering College of Mosul, Northern Technical University. The defence took place on Thursday, 29 October 2026.
The thesis was entitled:
“An Algorithm for Detecting Hand Movement Muscle Activity in Stroke Patients Using Amplitude-Independent Features and a Single Channel of EMG Signals.”
The research aimed to develop an intelligent algorithm for classifying hand-opening and hand-closing movements based on surface electromyography (sEMG) signals, thereby supporting motor rehabilitation applications for stroke patients.
The proposed algorithm achieved a classification accuracy of 96.6%. It was also practically implemented using a Raspberry Pi 4 single-board computer to control a robotic hand, demonstrating the application of artificial intelligence and biomedical signal-processing techniques in developing engineering solutions to support medical rehabilitation.
This participation reflects the commitment of Ninevah University’s College of Electronics Engineering faculty members to strengthening the University’s academic and scientific presence and promoting research collaboration and the exchange of expertise among Iraqi universities. Such engagement contributes to improving research quality and fostering academic cooperation in engineering and emerging medical technologies.
