Evidence map›Paper›PMID 36015888›Full record

ArticleSensors (Basel, Switzerland)2022

Biomechanical Analysis Suggests Myosuit Reduces Knee Extensor Demand during Level and Incline Gait.

Jaewook Kim, Yekwang Kim, Seonghyun Kang, Seung-Jong Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Biomechanical Analysis of the Unaffected Limb While Using a Hands-Free Crutch.Journal of functional morphology and kinesiology · 2023
    Article
  4. Effect of an exosuit on kinematics in individuals with incomplete spinal cord injury.Journal of rehabilitation and assistive technologies engineering
    Article
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

4 authors.

Jaewook KimDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Korea.
Yekwang KimDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Korea.
Seonghyun KangDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Korea.ORCID 0000-0001-6252-5310
Seung-Jong KimDepartment of Biomedical Engineering, Korea University College of Medicine, Seoul 02841, Korea.

Funding

National Research Council of Science & Technology CAP-18014-000
6 · The paper itself

Abstract

An FDA-approved soft wearable robot, the Myosuit, which was designed to provide hip and knee extension torque has recently been commercialized. While studies have reported reductions in metabolic costs, increased gait speeds, and improvements in clinical test scores, a comprehensive analysis of electromyography (EMG) signals and joint kinematics is warranted because the recruitment of appropriate muscle groups during physiological movement patterns facilitates effective motor learning. Here, we compared the lower limb joint kinematics and EMG patterns while wearing the Myosuit with that of unassisted conditions when performing level overground and incline treadmill gait. The level overground gait sessions (seven healthy subjects) were performed at self-selected speeds and the incline treadmill gait sessions (four healthy subjects) were performed at 2, 3, 4, and 5 km/h. In order to evaluate how the user is assisted, we conducted a biomechanical analysis according to the three major gait tasks: weight acceptance (WA), single-limb support, and limb advancement. The results from the gait sessions suggest that Myosuit not only well preserves the users' natural patterns, but more importantly reduce knee extensor demand during the WA phase for both level and incline gait.

Indexed as

GaitKnee JointBiomechanical PhenomenaHumansKneeLower ExtremityWalkingbiomechanicselectromyographygaitjoint kinematicsrehabilitationsoft wearable robot

Identifiers

PMID36015888
PMCPMC9413953

What OpenQuestion holds

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LicenceCC BY
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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.