Surface electromyography

Develop interfaces for dexterous robot teleoperation by combining wrist or forearm surface electromyography with egocentric computer vision. Research covers signal processing, representation learning, motor-intent decoding, object and hand understanding, multimodal reasoning and real-time sensing. The role focuses on robotics and interactive systems; it has no clinical or biomedical focus. Candidates may also prototype wearable hardware and evaluate mixed-reality applications.

…designed to compare the biofeedback surface electromyography (sEMG) effectiveness for chronic low back pain in the Pakistani population.This was a single-centered study conducted on 100 CLBP patients randomized equally into two groups namely; Group A (intervention group, n=50) and Group B (Control Group, n=50) to receive sEMG therapy and continued care, respectively. All