Evidence map›Paper›PMID 41586421›Full record

ArticleFrontiers in robotics and AI2025

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

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

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Marc-Anton ScheidlAssistive Intelligent Robotics Lab, AIBE, Friedrich-Alexander Universität, Erlangen, Germany.
Kristin SchuhAssistive Intelligent Robotics Lab, AIBE, Friedrich-Alexander Universität, Erlangen, Germany.
Marek SierotowiczAssistive Intelligent Robotics Lab, AIBE, Friedrich-Alexander Universität, Erlangen, Germany.
Marcel BetschOrthopaedics Clinic, Universitätsklinikum Erlangen, Erlangen, Germany.
Claudio CastelliniAssistive Intelligent Robotics Lab, AIBE, Friedrich-Alexander Universität, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Pilot study with ten healthy adults, testing whether a lightweight, low-cost knee orthosis equipped with EMG-driven impedance control reduces quadriceps muscle effort during the sit-to-stand (STS) transition. Methods: Ten able-bodied adults performed 15 paced STS repetitions under three conditions: without orthosis (No-Ortho), orthosis worn unpowered (Ortho-OFF; friction-compensated), and orthosis actively powered (Ortho-ON). Surface electromyography (EMG) was recorded using 8-channel thigh bracelets on both legs. EMG signals from the braced leg were processed using ridge regression and slew-rate limiting to generate a normalized control signal that dynamically scales knee stiffness while maintaining constant damping. Median values and trial-to-trial variance of the average rectified EMG (ARV) were analyzed across four distinct movement phases (SIT, UP, STAND, DOWN) using linear mixed-effects models with log-transformed data and Bonferroni-adjusted planned contrasts. Results: Powered assistance significantly reduced median bilateral ARV by 11% during the UP phase and 15% during the DOWN phase Conclusion: A lightweight, affordable knee orthosis employing a rapid (

Indexed as

EMG controlhuman-robot interactionimpedance controlintelligent orthoticsknee exoskeletonrehabilitation roboticssit-to-stand

Identifiers

PMID41586421
PMCPMC12823904

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.