Kimia Savoji

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About

Kimia Savoji is a researcher at the forefront of rehabilitation engineering, with a focused expertise in electromyography (EMG) and human-robot interaction. Her work centers on decoding the electrical activity of skeletal muscles to bridge the gap between human intent and robotic assistance. In her most-cited work, "A Comprehensive Review of Electromyography in Rehabilitation: Detecting Interrupted Wrist and Hand Movements with a Robotic Arm Approach" (2024, 8 citations), Savoji provides a critical synthesis of how surface and intramuscular EMG can be harnessed to detect and interpret interrupted limb movements. Her major contribution lies in proposing a robust framework for integrating these bio-signals with robotic arm systems, enabling more intuitive and responsive rehabilitation for patients with motor impairments. By addressing the challenge of detecting fragmented or incomplete gestures, Savoji’s research paves the way for smarter, adaptive assistive technologies. Her work not only advances the field of neurorehabilitation but also holds promise for improving the quality of life for individuals recovering from stroke or spinal cord injuries. With a growing citation impact, Savoji is establishing herself as a key voice in the convergence of biomedical signal processing and robotics.