Effect of Haptic Perception Rehabilitation Robot Training on Hand Grasping Function After Stroke

Backgroud: The impaired hand function after stroke severely affected the patients' activities of daily living. Robot-assisted training is a supplementary method to promote the recovery of hand motor function, but few studies have reported the effect of haptic perception rehabilitation robots on hand grasping function after stroke. Objective: To investigate the effect of haptic perception rehabilitation robot training on the recovery of hand grasping function after stroke. Methods: This study was a single-blind randomized controlled trial. 44 stroke patients were randomly divided into experimental group (n = 22) and control group (n = 22). On the basis of conventional rehabilitation training, the experimental group received the grasp training session assisted by the haptic perception rehabilitation robot for 20 min, and the control group received the conventional hand grasp training session for 20 min. Grasp and grip part in action research arm test (ARAT), grip strength, modified Ashworth scale (MAS), total active movement (TAM) and Barthel index (BI) were used to evaluate the recovery of hand grasping function and activities of daily living before and 20 training sessions. Results: Compared with the therapist-assisted hand function training, the haptic perception rehabilitation robot training improved the grasping function and TAM of stroke patients (P < 0.05). However, there were no significant changes in other clinical outcome indicators (P > 0.05). Conclusion: The haptic perception rehabilitation robot training can help to restore the hand grasp function after stroke.

Authors

Institutions

Publication Details

Published
2024-08-23
DOI
https://doi.org/10.1109/wrrc62201.2024.10696352
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 Haptic Perception Rehabilitation Robot Training on Hand Grasping Function After Stroke

Zhenlan Li, Yawen Lian, Yinghua Li
Stroke Rehabilitation and Recovery
article

Effect of Haptic Perception Rehabilitation Robot Training on Hand Grasping Function After Stroke

Zhenlan Li, Yawen Lian, Yinghua Li
article en

Abstract

Backgroud: The impaired hand function after stroke severely affected the patients' activities of daily living. Robot-assisted training is a supplementary method to promote the recovery of hand motor function, but few studies have reported the effect of haptic perception rehabilitation robots on hand grasping function after stroke. Objective: To investigate the effect of haptic perception rehabilitation robot training on the recovery of hand grasping function after stroke. Methods: This study was a single-blind randomized controlled trial. 44 stroke patients were randomly divided into experimental group (n = 22) and control group (n = 22). On the basis of conventional rehabilitation training, the experimental group received the grasp training session assisted by the haptic perception rehabilitation robot for 20 min, and the control group received the conventional hand grasp training session for 20 min. Grasp and grip part in action research arm test (ARAT), grip strength, modified Ashworth scale (MAS), total active movement (TAM) and Barthel index (BI) were used to evaluate the recovery of hand grasping function and activities of daily living before and 20 training sessions. Results: Compared with the therapist-assisted hand function training, the haptic perception rehabilitation robot training improved the grasping function and TAM of stroke patients (P < 0.05). However, there were no significant changes in other clinical outcome indicators (P > 0.05). Conclusion: The haptic perception rehabilitation robot training can help to restore the hand grasp function after stroke.

Jilin University (CN), First Hospital of Jilin University (CN)
Openalex Percentile: Top 80%
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.