Chiako Mokri
Papers
2
Total Citations
69
H-Index
2
About
Chiako Mokri is a researcher specializing in biomedical engineering, rehabilitation robotics, and biomechanics, with a particular focus on the intersection of electromyography (EMG) signal processing and machine learning. Mokri's work addresses a critical challenge in modern rehabilitation technology: translating raw physiological signals from the human body into actionable data that can drive intelligent assistive devices. Their most impactful contribution, "Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques" (2022), has garnered 59 citations and establishes a robust framework for processing surface EMG signals to control knee rehabilitation robots — a significant step toward more responsive and patient-adaptive assistive technologies. Complementing this, their work on joint mechanical properties estimation further demonstrates their commitment to developing sophisticated mechatronic systems capable of characterizing human knee dynamics in real time. Mokri's research bridges the gap between clinical rehabilitation needs and advanced engineering solutions, combining hardware innovation with data-driven algorithms. Their contributions are particularly valuable for researchers and clinicians working in human-robot interaction, prosthetics, and motor rehabilitation, offering both theoretical frameworks and practical device implementations that push the boundaries of intelligent rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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