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EDITORIAL article

Front. Bioeng. Biotechnol.
Sec. Biomechanics
Volume 12 - 2024 | doi: 10.3389/fbioe.2024.1487075
This article is part of the Research Topic Biomechanics, Sensing and Bio-inspired Control in Rehabilitation and Wearable Robotics View all 26 articles

Editorial: Biomechanics, Sensing and Bio-inspired Control in Rehabilitation and Wearable Robotics

Provisionally accepted
Mingxiang Luo Mingxiang Luo 1Xinyu Wu Xinyu Wu 1Ningbo Yu Ningbo Yu 2Keyi Wang Keyi Wang 3Wujing Cao Wujing Cao 1*
  • 1 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, China
  • 2 Nankai University, Tianjin, China
  • 3 Harbin Engineering University, Harbin, Heilongjiang Province, China

The final, formatted version of the article will be published soon.

    The integration of biomechanics, sensing technology, and bio-inspired control is transforming rehabilitation and wearable robotics by enhancing human mobility and recovery. Biomechanics informs the design of systems that replicate or support natural movement, while advanced sensors monitor physiological and biomechanical data in real time, enabling personalized assistance. Wearable robotics, such as exoskeletons and prosthetics, benefit from technologies like electromyography (EMG) and inertial measurement units (IMUs), which provide feedback for dynamic control adjustments. Xiang et al. conducted a study on back-support exoskeletons during manual material handling tasks, focusing on their biomechanical impact using Functional Data Analysis (FDA) and Functional ANOVA (FANOVA). The goal was to optimize exoskeleton design for safer reduction of lower back load. Participants performed tasks with and without the exoskeleton, while researchers collected data on lumbar load and trunk angle. FANOVA revealed that the exoskeleton significantly reduced lumbar load, particularly in lifting tasks, highlighting its effectiveness. The study also demonstrated FANOVA's advantage in handling time-series data, providing valuable

    Keywords: exoskeleton, Control, Biomechanics, signal, rehabilitation Editorial on the Research Topic Biomechanics, Sensing and Bio-inspired Control in Rehabilitation and Wearable Robotics

    Received: 27 Aug 2024; Accepted: 18 Oct 2024.

    Copyright: © 2024 Luo, Wu, Yu, Wang and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Wujing Cao, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), Shenzhen, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.