Evidence map›Paper›PMID 35231968›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2022

[Effects of ankle exoskeleton assistance during human walking on lower limb muscle contractions and coordination patterns].

Wei Wang, Jianquan Ding, Yi Wang, Yicheng Liu, Juanjuan Zhang, Jingtai Liu

Abstract read
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Wei WangInstitute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China.
Jianquan DingInstitute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China.
Yi WangInstitute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China.
Yicheng LiuInstitute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China.
Juanjuan ZhangInstitute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China.
Jingtai LiuInstitute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University, Tianjin 300350, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower limb ankle exoskeletons have been used to improve walking efficiency and assist the elderly and patients with motor dysfunction in daily activities or rehabilitation training, while the assistance patterns may influence the wearer's lower limb muscle activities and coordination patterns. In this paper, we aim to evaluate the effects of different ankle exoskeleton assistance patterns on wearer's lower limb muscle activities and coordination patterns. A tethered ankle exoskeleton with nine assistance patterns that combined with differenet actuation timing values and torque magnitude levels was used to assist human walking. Lower limb muscle surface electromyography signals were collected from 7 participants walking on a treadmill at a speed of 1.25 m/s. Results showed that the soleus muscle activities were significantly reduced during assisted walking. In one assistance pattern with peak time in 49% of stride and peak torque at 0.7 N·m/kg, the soleus muscle activity was decreased by (38.5 ± 10.8)%. Compared with actuation timing, the assistance torque magnitude had a more significant influence on soleus muscle activity. In all assistance patterns, the eight lower limb muscle activities could be decomposed to five basic muscle synergies. The muscle synergies changed little under assistance with appropriate actuation timing and torque magnitude. Besides, co-contraction indexs of soleus and tibialis anterior, rectus femoris and semitendinosus under exoskeleton assistance were higher than normal walking. Our results are expected to help to understand how healthy wearers adjust their neuromuscular control mechanisms to adapt to different exoskeleton assistance patterns, and provide reference to select appropriate assistance to improve walking efficiency.

Indexed as

Exoskeleton DeviceAgedAnkleAnkle JointBiomechanical PhenomenaElectromyographyGaitHumansMuscle ContractionMuscle, SkeletalWalkingAnkle exoskeletonLocomotion assistanceMuscle coordination patternsSurface electromyographyWearable device

Identifiers

PMID35231968
PMCPMC9927746

What OpenQuestion holds

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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.