Evidence map›Paper›PMID 29183379›Full record

Trial reportJournal of neuroengineering and rehabilitation2017

Gait performance and foot pressure distribution during wearable robot-assisted gait in elderly adults.

Su-Hyun Lee, Hwang-Jae Lee, Won Hyuk Chang, Byung-Ok Choi, Jusuk Lee, Jeonghun Kim, Gyu-Ha Ryu, Yun-Hee Kim

3 registry-linked trialsOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 33 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 6 pooled it
2.5field-weighted citation impact, top 11% 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.

NCT02843828 nacompletednot on this map

Gait Pattern Analysis and Feasibility of Gait Training With a Newly Developed Walking Assist Robot in Stroke Patients and Elderly Adults

TypeinterventionalSponsorSamsung Medical CenterRan2016 to 2017Enrolled56ConditionsStroke, HealthyArmsgait rehabilitation with Samsung Hip Assist v1, gait rehabilitation without Samsung Hip Assist v1
NCT03986320 naunknown statusnot on this mapstarted 2019, after this paper: background citation

A Multi-site, Interventional, Comparative, Single-arm Trial to Evaluate the Safety and Effectiveness of Keeogo™ Dermoskeleton in Subjects With Hemiparesis Due to Ischemic or Hemorrhagic Stroke.

TypeinterventionalSponsorB-Temia, Inc.Ran2019 to 2020Enrolled60ConditionsStroke, Ischemic, Stroke Hemorrhagic, Stroke, HemiparesisArmsKeeogo™ Dermoskeleton
NCT06041100 nacompletednot on this mapstarted 2023, after this paper: background citation

Assessing the Long-term Effects of Wearing a Lower-limb Exoskeleton on Physical Activity and Quality of Life in Pre-frail Adults - a Feasibility Study

TypeinterventionalSponsorAalborg UniversityRan2023 to 2024Enrolled16ConditionsPre-frail Senior AdultsArmsExoskeleton
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 6 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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  9. A Fully Self-Powered Digital Wearable System for the Auxiliary Treatment of Plantar Fasciitis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

8 authors at 2 institutions in 1 country.

Su-Hyun LeeDepartment of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-ro 81, Gangnam-gu, Seoul, 06351, Republic of Korea.
Hwang-Jae LeeDepartment of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-ro 81, Gangnam-gu, Seoul, 06351, Republic of Korea.
Won Hyuk ChangDepartment of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-ro 81, Gangnam-gu, Seoul, 06351, Republic of Korea.
Byung-Ok ChoiDepartment of Neurology, Neuroscience Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-ro 81, Gangnam-gu, Seoul, 06351, Republic of Korea.
Jusuk LeeSamsung Advanced Institute of Technology, Samsung Electronics, 130 Samsung-ro, Yeongtong-gu Gyeonggi-do, Suwon-si, 16678, Republic of Korea.
Jeonghun KimSamsung Advanced Institute of Technology, Samsung Electronics, 130 Samsung-ro, Yeongtong-gu Gyeonggi-do, Suwon-si, 16678, Republic of Korea.
Gyu-Ha RyuOffice of Biomechanical science, Research Center for Future Medicine, Samsung Medical Center, Sungkyunkwan University, Irwon-ro 81, Gangnam-gu, Seoul, 06351, Republic of Korea. gyuha.ryu@samsung.com.
Yun-Hee KimDepartment of Physical and Rehabilitation Medicine, Center for Prevention and Rehabilitation, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Irwon-ro 81, Gangnam-gu, Seoul, 06351, Republic of Korea. yunkim@skku.edu.ORCID http://orcid.org/0000-0001-6101-8851
Samsung Medical Center · KRSamsung (South Korea) · KR

Funding

National Research Foundation of Korea NRF-2016R1A6A3A11930931National Research Foundation of Korea NRF-2017R1A2A1A05000730Samsung Medical Center PHO0151361
6 · The paper itself

Abstract

backgroundA robotic exoskeleton device is an intelligent system designed to improve gait performance and quality of life for the wearer. Robotic technology has developed rapidly in recent years, and several robot-assisted gait devices were developed to enhance gait function and activities of daily living in elderly adults and patients with gait disorders. In this study, we investigated the effects of the Gait-enhancing Mechatronic System (GEMS), a new wearable robotic hip-assist device developed by Samsung Electronics Co, Ltd., Korea, on gait performance and foot pressure distribution in elderly adults.

methodsThirty elderly adults who had no neurological or musculoskeletal abnormalities affecting gait participated in this study. A three-dimensional (3D) motion capture system, surface electromyography and the F-Scan system were used to collect data on spatiotemporal gait parameters, muscle activity and foot pressure distribution under three conditions: free gait without robot assistance (FG), robot-assisted gait with zero torque (RAG-Z) and robot-assisted gait (RAG).

resultsWe found increased gait speed, cadence, stride length and single support time in the RAG condition. Reduced rectus femoris and medial gastrocnemius muscle activity throughout the terminal stance phase and reduced effort of the medial gastrocnemius muscle throughout the pre-swing phase were also observed in the RAG condition. In addition, walking with the assistance of GEMS resulted in a significant increase in foot pressure distribution, specifically in maximum force and peak pressure of the total foot, medial masks, anterior masks and posterior masks.

conclusionThe results of the present study reveal that GEMS may present an alternative way of restoring age-related changes in gait such as gait instability with muscle weakness, reduced step force and lower foot pressure in elderly adults. In addition, GEMS improved gait performance by improving push-off power and walking speed and reducing muscle activity in the lower extremities.

trial registrationNCT02843828 .

Indexed as

Exoskeleton DeviceAgedElectromyographyFemaleGaitGait Disorders, NeurologicHumansMaleRoboticsElderly adultsFoot pressure distributionGaitMuscle activitySpatiotemporal gait parametersWearable hip-assist robot

Identifiers

PMID29183379
PMCPMC5706419
OpenAlexW2769129712

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.