Evidence map›Paper›PMID 41152918›Full record

ArticleBMC sports science, medicine & rehabilitation2025

Physical human-robot interaction mediates the association of motor impairment and kinematic performance for poststroke arm rehabilitation.

Ze-Jian Chen, Yong Chen, Jiang Xu, Xiao-Lin Huang, Chang He

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Article in BMC sports science, medicine & rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Ze-Jian Chen *Department of Rehabilitation Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yong Chen *Department of Rehabilitation Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jiang XuDepartment of Rehabilitation Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xiao-Lin HuangDepartment of Rehabilitation Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Chang HeState Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China. hechang@hust.edu.cn.

Funding

Hubei Provincial Major Science and Technology Special Project No. 2023BCA002Interdisciplinary Research Support Program of Huazhong University of Science and Technology No. 2024JCYJ067Natural Science Foundation of China No. 82503099Natural Science Foundation of Hubei Province, China No. 2024AFB043Research fund of Tongji Hospital No. 2024B24
6 · The paper itself

Abstract

backgroundRobot-assisted therapy (RAT) has demonstrated potential in revolutionizing poststroke rehabilitation settings. Beyond facilitating motor recovery, robotic systems can offer kinematic assessments to objectively measure arm performance. Physical human-robot interaction (pHRI), a core component of RAT, enables the system to adapt kinematic performance tailoring arm motor impairments. While previous studies have explored correlations between onboard kinematics and clinical outcomes, the specific role of pHRI in mediating motor impairment and kinematic performance remains under-investigated. This study aims to examine whether pHRI mediates the relationship between arm motor impairment and onboard kinematic performance, and whether higher-quality pHRI contributes to improved motor outcomes in individuals with stroke.

methodsA mediation analysis study was conducted using data from the Exoskeleton-assisted Anthropomorphic Movement Training (EAMT) trials between December 2018 and August 2021. Data were analyzed September to December 2024. Physical human-robot interaction that provides real-time adjustments to maintain a more physiological arm posture was applied during functional tasks in RAT. Participants underwent RAT using an exoskeleton that measured kinematic metrics (movement time, smoothness, and postural error) and pHRI. Motor impairment was assessed using the Fugl-Meyer Assessment for Upper Extremity (FMA-UE). Mediation analysis was employed to examine whether pHRI mediated the association between motor impairment and kinematic performance.

resultsAfter screening 312 patients for eligibility, data of 50 participants (mean [SD] age, 49.5 [10.2] years; mean [SD] time since stroke onset, 55.2 [44.0] days) with subacute stroke were included in the study. Higher FMA-UE scores were significantly associated with improved kinematic performance, including reduced movement time (standardized r = -0.459, P < 0.001), increased smoothness (standardized r = -0.369, P = 0.005), and reduced postural error (standardized r = -0.488, P < 0.001). Moreover, pHRI significantly mediated the association between motor impairment and postural error, accounting for 43.7% of the total effect (95% CI: 12.3 to 75.1, P = 0.006). No mediation was observed for movement time or smoothness. Sensitivity analyses supported the robustness of these findings.

conclusionspHRI accounted for 43.7% of the relationship between motor impairment and postural error during robotic training for stroke rehabilitation, indicating a substantial mediating effect. These findings highlight the potential of optimizing pHRI to improve the effectiveness of rehabilitation robots for broader motor outcomes, particularly in enhancing motor control and investigating the underlying pHRI mechanisms regarding robotic design and control strategies.

Indexed as

Causal effectKinematicsMediation analysisMotor impairmentPhysical human-robot interactionRobot-assisted therapy

Identifiers

PMID41152918
PMCPMC12560491

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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.