Evidence map›Paper›PMID 35118211›Full record

ArticleProgress in rehabilitation medicine2022

Development of a Gait Rehabilitation Robot Using an Exoskeleton and Functional Electrical Stimulation: Validation in a Pseudo-paraplegic Model.

Junichi Inoue, Ryota Kimura, Yoichi Shimada, Kimio Saito, Daisuke Kudo, Kazutoshi Hatakeyama, Motoyuki Watanabe, Kai Maeda, Takehiro Iwami, Toshiki Matsunaga and 1 more

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Article in Progress in rehabilitation medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Junichi InoueDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.
Ryota KimuraDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.
Yoichi ShimadaDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.
Kimio SaitoDepartment of Rehabilitation Medicine, Akita University Hospital, Akita, Japan.
Daisuke KudoDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.
Kazutoshi HatakeyamaDepartment of Rehabilitation Medicine, Akita University Hospital, Akita, Japan.
Motoyuki WatanabeDepartment of Rehabilitation Medicine, Akita University Hospital, Akita, Japan.
Kai MaedaDepartment of Systems Design Engineering, Faculty of Engineering Science, Akita University Graduate School of Engineering Science, Akita, Japan.
Takehiro IwamiDepartment of Systems Design Engineering, Faculty of Engineering Science, Akita University Graduate School of Engineering Science, Akita, Japan.
Toshiki MatsunagaDepartment of Rehabilitation Medicine, Akita University Hospital, Akita, Japan.
Naohisa MiyakoshiDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.
Akita University · JPAkita University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe have developed a robot for gait rehabilitation of paraplegics for use in combination with functional electrical stimulation (FES). The purpose of this study was to verify whether the robot-derived torque can be reduced by using FES in a healthy-person pseudo-paraplegic model.

methodsNine healthy participants (22-36 years old) participated in this study. The robot exoskeleton was designed based on the hip-knee-ankle-foot orthosis for paraplegia. Participants walked on a treadmill using a rehabilitation lift to support their weight. The bilateral quadriceps femoris and hamstrings were stimulated using FES. The participants walked both with and without FES, and two walking speeds, 0.8 and 1.2 km/h, were used. Participants walked for 1 min in each of the four conditions: (a) 0.8 km/h without FES, (b) 0.8 km/h with FES, (c) 1.2 km/h without FES, and (d) 1.2 km/h with FES. The required robot torques in these conditions were compared for each hip and knee joint. The maximum torque was compared using one-way analysis of variance to determine whether there was a difference in the amount of assist torque for each gait cycle.

resultsWalking with the exoskeleton robot in combination with FES significantly reduced the torque in hip and knee joints, except for the right hip during extension.

conclusionsIn the healthy-participant pseudo-paraplegic model, walking with FES showed a reduction in the robot-derived torque at both the hip and knee joints. Our rehabilitation robot combined with FES has the potential to assist paraplegics with various degrees of muscle weakness and thereby provide effective rehabilitation.

Indexed as

functional electrical stimulationparaplegiarobotic therapy

Identifiers

PMID35118211
PMCPMC8784275
OpenAlexW4207084843

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.