Amir Dehdashtian

University of Michigan–Ann Arbor, University Health System

Papers

Total Citations

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About

Amir Dehdashtian is pioneering the interface between biology and robotics, with a research focus on regenerative peripheral nerve interfaces (RPNIs) and neural signal amplification for advanced prosthetics. His major contribution lies in developing the muscle cuff regenerative peripheral nerve interface (MC-RPNI), a novel technique that amplifies efferent motor action potentials from intact peripheral nerves—a critical step toward enabling intuitive, real-time control of robotic exoskeletons for individuals with limb loss or weakness. His most-cited work, "Physiologic signaling and viability of the muscle cuff regenerative peripheral nerve interface (MC-RPNI) for intact peripheral nerves" (2021, 23 citations), demonstrates the feasibility of this approach by preserving nerve viability while generating robust, recordable signals. In a subsequent study (2022, 5 citations), Dehdashtian further refined the MC-RPNI to enhance signal amplification, addressing a key bottleneck that has confined exoskeleton technology largely to research settings. By bridging regenerative medicine and neural engineering, his work holds transformative potential for rehabilitative medicine, promising a future where amputees and those with extremity weakness can seamlessly control assistive devices through their own neural commands.