Effect of Wearable Robot-Assisted Gait Training on Balance and Walking Ability in Subacute Stroke Patients

The overground wearable robotic device used in this study, wearable robot-assisted gait training was found to be more effective than treadmill gait training in improving motor ability and balance, and walking ability in stroke patients.

Authors

Institutions

Publication Details

Journal
American Journal of Physical Medicine & Rehabilitation
Published
2025-03-05
DOI
https://doi.org/10.1097/phm.0000000000002735
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of Wearable Robot-Assisted Gait Training on Balance and Walking Ability in Subacute Stroke Patients

Sun‐Joung Leigh An, Yonghoon Kim, Suhyeon Baek, Yonggeun Hong et al.
1 links
American Journal of Physical Medicine & Rehabilitation
Stroke Rehabilitation and Recovery
article

Effect of Wearable Robot-Assisted Gait Training on Balance and Walking Ability in Subacute Stroke Patients

Sun‐Joung Leigh An, Yonghoon Kim, Suhyeon Baek, Yonggeun Hong, Rida Fatima, Reema Priyanka Suram
article en

Abstract

The overground wearable robotic device used in this study, wearable robot-assisted gait training was found to be more effective than treadmill gait training in improving motor ability and balance, and walking ability in stroke patients.

American Journal of Physical Medicine & RehabilitationVol. 104(10)
Inje University (KR), Chung-Ang University Hospital (KR)
Openalex Percentile: Top 95%
Stroke Rehabilitation and Recovery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.