Joel Sotero da Cunha Neto
Papers
1
Total Citations
2
H-Index
1
About
Joel Sotero da Cunha Neto is a researcher advancing the field of biomedical engineering, with a primary focus on intelligent systems for rehabilitation technology. His key research areas encompass pattern recognition in electromyography (EMG) signals, robotic prosthetics, and the integration of artificial intelligence for assistive devices. His major contribution lies in developing an intelligent, integrated technology for decoding EMG signals to command robotic prostheses, aiming to reduce the complexity and cost barriers that limit user adoption. While his most-cited work, published in 2022, has garnered 2 citations, it represents a foundational step toward more intuitive and accessible prosthetic control. Da Cunha Neto’s research addresses a critical need in rehabilitation, seeking to enhance the quality of life for amputees by simplifying the interaction between human neural signals and robotic limbs. His work stands at the intersection of signal processing, machine learning, and human-machine interfaces, promising to make advanced prosthetics more practical for everyday tasks.
Research Focus
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Top Papers
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