Evidence map›Paper›PMID 32850696›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Differences in Muscle Synergy Symmetry Between Subacute Post-stroke Patients With Bioelectrically-Controlled Exoskeleton Gait Training and Conventional Gait Training.

Chun Kwang Tan, Hideki Kadone, Hiroki Watanabe, Aiki Marushima, Yasushi Hada, Masashi Yamazaki, Yoshiyuki Sankai, Akira Matsumura, Kenji Suzuki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  15. [Effects of ankle exoskeleton assistance during human walking on lower limb muscle contractions and coordination patterns].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
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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

9 authors at 1 institution in 1 country.

Chun Kwang TanArtificial Intelligence Laboratory, University of Tsukuba, Tsukuba, Japan.
Hideki KadoneCenter for Innovative Medicine and Engineering, University of Tsukuba Hospital, Tsukuba, Japan.
Hiroki WatanabeDepartment of Neurosurgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Aiki MarushimaDepartment of Neurosurgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Yasushi HadaDepartment of Rehabilitation Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Masashi YamazakiDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Yoshiyuki SankaiFaculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan.
Akira MatsumuraDepartment of Neurosurgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Kenji SuzukiArtificial Intelligence Laboratory, University of Tsukuba, Tsukuba, Japan.
University of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the reorganization of the central nervous system after stroke is an important endeavor in order to design new therapies in gait training for stroke patients. Current clinical evaluation scores and gait velocity are insufficient to describe the state of the nervous system, and one aspect where this is lacking is in the quantification of gait symmetry. Previous studies have pointed out that spatiotemporal gait asymmetries are commonly observed in stroke patients with hemiparesis. Such asymmetries are known to cause long-term complications like joint pain and deformation. Recent studies also indicate that spatiotemporal measures showed that gait symmetry worsens after discharge from therapy. This study shows that muscle synergy analysis can be used to quantify gait symmetry and compliment clinical measures. Surface EMG was collected from lower limb muscles of subacute post-stroke patients (with an onset of around 14 days) from two groups, one undergoing robotic-assisted therapy (known as HAL group) and the other undergoing conventional therapy (known as Control group). Muscle synergies from the paretic and non-paretic limb were extracted with Non-Negative Matrix Factorization (NNMF) and compared with each other to obtain a gait symmetry index over therapy sessions. Gait events were tracked with motion tracking (for the HAL group) or foot pressure sensors (for the conventional therapy group). Patients from both groups were assessed over a 3-weeks long gait training program. Results indicated that there were no differences in muscle synergy symmetry for both groups of patients. However, the timing of muscle synergies were observed to be symmetrical in the HAL group, but not for the Control group. Intergroup comparisons of symmetry in muscle synergies and their timings were not significantly different. This could be due to a large variability in recovery in the Control group. Finally, stance time ratio was not observed to improve in both groups after their respective therapies. Interestingly, FIM and FMA scores of both groups were observed to improve after their respective therapies. Analysis of muscle coordination could reveal mechanisms of gait symmetry which could otherwise be difficult to observe with clinical scores.

Indexed as

gait symmetryhybrid assistive limb (HALⓇ)muscle synergyrobotic therapystroke

Identifiers

PMID32850696
PMCPMC7403486
OpenAlexW3046041066

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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.