{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T15:25:26Z","timestamp":1773156326379,"version":"3.50.1"},"reference-count":56,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T00:00:00Z","timestamp":1724803200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Robot. AI"],"abstract":"<jats:p>This paper introduces a compact end-effector ankle rehabilitation robot (CEARR) system for addressing ankle range of motion (ROM) rehabilitation. The CEARR features a bilaterally symmetrical rehabilitation structure, with each side possessing three degrees of freedom (DOF) driven by three independently designed actuators. The working intervals of each actuator are separated by a series connection, ensuring they operate without interference to accommodate the dorsiflexion\/plantarflexion (DO\/PL), inversion\/eversion (IN\/EV), and adduction\/abduction (AD\/AB) DOF requirements for comprehensive ankle rehabilitation. In addition, we integrated an actuator and foldable brackets to accommodate patients in varied postures. We decoded the motor intention based on the surface electromyography (sEMG) and torque signals generated by the subjects\u2019 ankle joints in voluntary rehabilitation. Besides, we designed a real-time voluntary-triggered control (VTC) strategy to enhance the rehabilitation effect, in which the root mean square (RMS) of sEMG was utilized to trigger and adjust the CEARR rehabilitation velocity support. We verified the consistency of voluntary movement with CEARR rehabilitation support output for four healthy subjects on a nonlinear sEMG signal with an <jats:inline-formula><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"m1\"><mml:mrow><mml:msup><mml:mi>R<\/mml:mi><mml:mn>2<\/mml:mn><\/mml:msup><\/mml:mrow><\/mml:math><\/jats:inline-formula> metric of approximately 0.67. We tested the consistency of triggering velocity trends with a linear torque signal for one healthy individual with an <jats:inline-formula><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"m2\"><mml:mrow><mml:msup><mml:mi>R<\/mml:mi><mml:mn>2<\/mml:mn><\/mml:msup><\/mml:mrow><\/mml:math><\/jats:inline-formula> metric of approximately 0.99.<\/jats:p>","DOI":"10.3389\/frobt.2024.1453097","type":"journal-article","created":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T08:56:48Z","timestamp":1724835408000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A compact motorized end-effector for ankle rehabilitation training"],"prefix":"10.3389","volume":"11","author":[{"given":"Renxiang","family":"Wu","sequence":"first","affiliation":[]},{"given":"Mingyang","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Jiaming","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Jingting","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Naiwen","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jianjun","family":"Li","sequence":"additional","affiliation":[]},{"given":"Qiuyuan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Guo","family":"Dan","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.jocn.2017.10.048","article-title":"What does best evidence tell us about robotic gait rehabilitation in stroke patients: a systematic review and meta-analysis","volume":"48","author":"Bruni","year":"2018","journal-title":"J. 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