Myoelectric Control in Rehabilitative and Assistive Soft Exoskeletons: A Comprehensive Review of Trends, Challenges, and Integration with Soft Robotic Devices DOI Creative Commons
Alejandro Toro-Ossaba, Juan C. Tejada, Daniel Sanín-Villa

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(4), P. 214 - 214

Published: April 1, 2025

Soft robotic exoskeletons have emerged as a transformative solution for rehabilitation and assistance, offering greater adaptability comfort than rigid designs. Myoelectric control, based on electromyography (EMG) signals, plays key role in enabling intuitive adaptive interaction between the user exoskeleton. This review analyzes recent advancements myoelectric control strategies, emphasizing their integration into soft exoskeletons. Unlike previous studies, this work highlights unique challenges posed by deformability compliance of structures, requiring novel approaches to motion intention estimation control. Key contributions include critically evaluating machine learning-based prediction, model-free methods, real-time validation strategies enhance outcomes. Additionally, we identify persistent such EMG signal variability, computational complexity, algorithms, which limit clinical implementation. By interpreting trends, need improved acquisition techniques, robust frameworks, enhanced learning optimize human-exoskeleton interaction. Beyond summarizing state art, provides an in-depth discussion how can advance ensuring more responsive personalized exoskeleton assistance. Future research should focus refining schemes tailored architectures, seamless protocols. is foundation developing intelligent that effectively support motor recovery assistive applications.

Language: Английский

Myoelectric Control in Rehabilitative and Assistive Soft Exoskeletons: A Comprehensive Review of Trends, Challenges, and Integration with Soft Robotic Devices DOI Creative Commons
Alejandro Toro-Ossaba, Juan C. Tejada, Daniel Sanín-Villa

et al.

Biomimetics, Journal Year: 2025, Volume and Issue: 10(4), P. 214 - 214

Published: April 1, 2025

Soft robotic exoskeletons have emerged as a transformative solution for rehabilitation and assistance, offering greater adaptability comfort than rigid designs. Myoelectric control, based on electromyography (EMG) signals, plays key role in enabling intuitive adaptive interaction between the user exoskeleton. This review analyzes recent advancements myoelectric control strategies, emphasizing their integration into soft exoskeletons. Unlike previous studies, this work highlights unique challenges posed by deformability compliance of structures, requiring novel approaches to motion intention estimation control. Key contributions include critically evaluating machine learning-based prediction, model-free methods, real-time validation strategies enhance outcomes. Additionally, we identify persistent such EMG signal variability, computational complexity, algorithms, which limit clinical implementation. By interpreting trends, need improved acquisition techniques, robust frameworks, enhanced learning optimize human-exoskeleton interaction. Beyond summarizing state art, provides an in-depth discussion how can advance ensuring more responsive personalized exoskeleton assistance. Future research should focus refining schemes tailored architectures, seamless protocols. is foundation developing intelligent that effectively support motor recovery assistive applications.

Language: Английский

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