EMG-controlled knee orthosis lowers effort in sit-to-stand

A lightweight, affordable knee orthosis employing a rapid ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>≈</mml:mo></mml:mrow> </mml:math> 10 s), minimally calibrated EMG-driven impedance controller effectively reduces quadriceps muscle activation during STS without compromising natural movement coordination. Torque capacity limitations (16 Nm) may limit effectiveness for heavier users, and further research is needed to evaluate kinematic fidelity fully.

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Publication Details

Journal
Frontiers in Robotics and AI
Published
2026-01-08
DOI
https://doi.org/10.3389/frobt.2025.1732294
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00

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article

EMG-controlled knee orthosis lowers effort in sit-to-stand

Claudio Castellini, Kristin Schuh, Marcel Betsch, Marek Sierotowicz et al.
Frontiers in Robotics and AI
Muscle activation and electromyography studies
article

EMG-controlled knee orthosis lowers effort in sit-to-stand

Claudio Castellini, Kristin Schuh, Marcel Betsch, Marek Sierotowicz, Marc-Anton Scheidl
article en

Abstract

A lightweight, affordable knee orthosis employing a rapid ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mo>≈</mml:mo></mml:mrow> </mml:math> 10 s), minimally calibrated EMG-driven impedance controller effectively reduces quadriceps muscle activation during STS without compromising natural movement coordination. Torque capacity limitations (16 Nm) may limit effectiveness for heavier users, and further research is needed to evaluate kinematic fidelity fully.

Frontiers in Robotics and AIVol. 12
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Universitätsklinikum Erlangen (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 95%
Muscle activation and electromyography studies
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EMG-controlled knee orthosis lowers effort in sit-to-stand — Claudio Castellini, Kristin Schuh, et al. · Frontiers in Robotics and AI (2026) | TGRS Research Map | TGRS