Evidence map›Paper›PMID 40121407›Full record

Trial reportBMC geriatrics2025

Robot-assisted exercise improves gait and physical function in older adults: a usability study.

Su-Hyun Lee, Eunmi Kim, Jinuk Kim, Hwang-Jae Lee, Yun-Hee Kim

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04610190 (Useability Test of Gait Enhancing and Motivating System-Hip), which is not on this 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.

NCT04610190 nacompletednot on this map

Useability Test of Gait Enhancing and Motivating System-Hip (GEMS-H)

TypeinterventionalSponsorYun-Hee KimRan2020 to 2021Enrolled20ConditionsGait Disorders in Old AgeArmsTraining with Gait Enhancing and Motivating System (GEMS-H) Robot
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. 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

5 authors.

Su-Hyun LeeDepartment of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea.
Eunmi KimDepartment of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea.
Jinuk KimCenter for Neuroscience Imaging Research, Institute for Basic Science, Suwon, 16419, Republic of Korea.
Hwang-Jae Lee *Bot Fit T/F, New Biz Team, Samsung Electronics, Suwon, 16677, Republic of Korea. hwangjae.lee@samsung.com.
Yun-Hee Kim *Department of Physical and Rehabilitation Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea. yunkim@skku.edu.

Funding

Korea Medical Device Development Fund grant KMDF‑RS‑2022-00140478Samsung Electronics PHO0203771
6 · The paper itself

Abstract

backgroundWith increasing age, individuals are more likely to experience physical disabilities, functional declines, and mobility limitations. Wearable robots or exoskeletons are relatively new technologies that can help address these issues, reduce healthcare costs, and support home healthcare, decreasing the burden of chronic disease. The purpose of this study was to investigate the usability of Bot Fit after task-specific physical activities and functional gait training, as well as to examine the effects of a wearable hip exoskeleton, Bot Fit, on gait, physical function, and muscle strength in older adults living in residential care facilities.

methodsA total of 32 older adults living in residential care facilities were included in this uncontrolled study. All participants performed eight weeks of task-specific physical activities and functional gait training using Bot Fit, with three exercise sessions per week (24 sessions in total). They were assessed at three time points: pre-test (baseline, T0), mid-test (after the 12 exercise sessions, T1), and post-test (after the last exercise session, T2). Each assessment evaluated functional outcomes (10-m walk test [10MWT], timed up-and-go [TUG], 6-min walk test [6MWT], Berg balance scale [BBS], four-square step test [FSST], and geriatric depression scale-short form [GDS-SF]), as well as muscle strength of the lower extremities. After the post-test, the participants completed a questionnaire to evaluate Bot Fit usability.

resultsA significant improvement was observed in all physical assessments, including the 10MWT, TUG, 6MWT, BBS, and FSST, from T0 to T2. It is noteworthy that 10MWT, TUG, and BBS also changed significantly from T0 to T1 and from T1 to T2. Muscle strength in hip flexion, hip extension, knee flexion, knee extension, ankle dorsiflexion, and ankle plantar flexion all improved significantly from T0 to T2, with knee flexion, knee extension, ankle dorsiflexion, and ankle plantar flexion showing significant improvements at all time points. Additionally, on the usability questionnaire, most participants provided positive feedback about their experience with Bot Fit.

conclusionThe findings of this study suggest that task-specific physical activity and functional gait training with Bot Fit have several key advantages for improving gait, physical function, and muscle strength in older adults living in residential care facilities. The findings support the application of Bot Fit to physical activity and functional gait training to improve age-related declines in physical function and muscle strength and to provide important insights into future robot-assisted exercise devices.

trial registrationURL: https://register. CLINICALTRIALS: gov/ . Unique identifier: NCT04610190 (10/26/2020).

Indexed as

ExerciseExercise TherapyExoskeleton DeviceGaitRoboticsAgedAged, 80 and overFemaleHumansMaleMuscle StrengthGaitMuscle strengthOlder adultPhysical functionUsabilityWearable hip exoskeleton

Identifiers

PMID40121407
PMCPMC11929325

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.