Milad Ghantous
Papers
1
Total Citations
7
H-Index
1
About
Milad Ghantous is a researcher at the forefront of biomedical engineering and human-robot interaction, with a primary focus on developing intelligent control systems for assistive technologies. His key research areas include electromyography (EMG) signal processing, pattern recognition, and adaptive control for robotic prosthetics. Ghantous’s most notable contribution lies in his pioneering work on using EMG signals as intuitive control inputs for robotic arms, directly addressing the critical need for dexterous, natural limb replacements for amputees. His highly cited 2016 paper, "Pattern recognition of EMG signals: Towards adaptive control of robotic arms," has garnered 7 citations and established a foundational framework for translating muscle activity into precise, real-time robotic movements. This work is particularly impactful for its potential to restore fine motor control and improve the quality of life for individuals with limb loss. By bridging the gap between biological signals and machine actuation, Ghantous continues to advance the field of adaptive prosthetics, making significant strides toward seamless, user-responsive robotic assistance.
Research Focus
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Top Papers
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