Shadman Tahmid, PhD
Postdoctoral Researcher
Neuromechanics & Engineering Lab
Department of Human Performance - Exercise Physiology
School of Medicine, West Virginia University
Shadman Tahmid, PhD
Postdoctoral Researcher
Neuromechanics & Engineering Lab
Department of Human Performance - Exercise Physiology
School of Medicine, West Virginia University
Transfemoral amputee require coordinated control of the knee and ankle to walk with stability. However, finding a proper site to collect neural controls for ankle movement is difficult. TMR patients have their tibial nerve and common peroneal nerve reinnervated to proximal semitendinosus and biceps femoris muscle, providing additional surface to collect nerve information from.
This study explores the biomechanical and functional changes before and after osseointegration surgery in transfemoral amputees. Results showed improved ground reaction force symmetry, reduced hip circumduction, and more centered posture control during quiet stance. The findings suggest that OI enhances both self-reported outcomes and objective gait performance.
Hanna, K., Tahmid, S., Lindsey, B., and Yakovenko, S., Osseointegration of the transfemoral prosthetic improves self-reported and functional outcomes in three amputees – a case series. [under review]
A real-time visual feedback system was developed to assess ankle motor control using residual muscle activity in transtibial and transfemoral amputees. Participants use their residual muscles to control a line on screen, performing either static hold or dynamic tracking tasks. The residual muscle activities are picked up using DELSYS non-invasive EMGs.
A vibrotactile feedback system was created to provide real-time EMG-driven haptics to amputees. Using MATLAB to process EMG signals and Unity to drive bHaptics devices via TCP/IP, the system delivers antagonistic sensory feedback to enhance motor awareness and potentially promote better control of prosthetic limbs.
We are collaborating with Össur to test custom in-lab control algorithm on their Power Knee. Developed live two-way communication between Power Knee and MATLAB based on UART and TCP/IP.