Chakaveh Ahmadizadeh
Papers
3
Total Citations
92
H-Index
3
About
Chakaveh Ahmadizadeh is a biomedical engineer and researcher specializing in human-machine interfaces, prosthetic control, and assistive robotics. Her work sits at the intersection of rehabilitation engineering and neural signal processing, with a particular focus on developing more intuitive and reliable control systems for upper-limb prostheses and robotic hand orthoses. Ahmadizadeh's most influential contribution — cited 57 times — demonstrated the feasibility of combining Force Myography (FMG) with surface electromyography (sEMG) and pattern recognition to address longstanding challenges in prosthetic control, including the limited accessibility of multi-degrees-of-freedom robotic hands for real-world users. Her subsequent work has refined this approach by investigating optimal sensor channel selection for gesture classification, achieving higher accuracy in prosthesis control through high-density FMG configurations (24 citations). More recently, she has extended these methods to assistive robotic hand orthoses, exploring their viability for individuals with sensorimotor impairments to support daily living activities (11 citations). Across her research portfolio, Ahmadizadeh consistently champions user-centered design, bridging engineering innovation with clinical applicability. Her cumulative contributions advance a critical goal in rehabilitation technology: empowering individuals with limb differences or impairments to interact more naturally and independently with assistive devices.
Research Focus
Key Achievements
Top Papers
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