scholarly journals Development of a Novel Home Based Multi-Scene Upper Limb Rehabilitation Training and Evaluation System for Post-Stroke Patients

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 9667-9677 ◽  
Author(s):  
Jing Bai ◽  
Aiguo Song
Keyword(s):  
Upper Limb ◽  
Evaluation System ◽  
Stroke Patients ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Training ◽  
Post Stroke ◽  
Home Based ◽  
Limb Rehabilitation

scholarly journals Design and Analysis of Cloud Upper Limb Rehabilitation System Based on Motion Tracking for Post-Stroke Patients

2019 ◽  
Vol 9 (8) ◽  
pp. 1620 ◽  
Author(s):  
Bai ◽  
Song ◽  
Li
Keyword(s):  
Upper Limb ◽  
Motion Tracking ◽  
Stroke Patients ◽  
Mean Velocity ◽  
Upper Limb Rehabilitation ◽  
Rehabilitation Training ◽  
Post Stroke ◽  
Reachable Workspace ◽  
Rehabilitation System ◽  
Limb Rehabilitation

In order to improve the convenience and practicability of home rehabilitation training for post-stroke patients, this paper presents a cloud-based upper limb rehabilitation system based on motion tracking. A 3-dimensional reachable workspace virtual game (3D-RWVG) was developed to achieve meaningful home rehabilitation training. Five movements were selected as the criteria for rehabilitation assessment. Analysis was undertaken of the upper limb performance parameters: relative surface area (RSA), mean velocity (MV), logarithm of dimensionless jerk (LJ) and logarithm of curvature (LC). A two-headed convolutional neural network (TCNN) model was established for the assessment. The experiment was carried out in the hospital. The results show that the RSA, MV, LC and LJ could reflect the upper limb motor function intuitively from the graphs. The accuracy of the TCNN models is 92.6%, 80%, 89.5%, 85.1% and 87.5%, respectively. A therapist could check patient training and assessment information through the cloud database and make a diagnosis. The system can realize home rehabilitation training and assessment without the supervision of a therapist, and has the potential to become an effective home rehabilitation system.

scholarly journals Biomechanical Assessment of Reaching Movements in Post-Stroke Patients During a Robot-Aided Rehabilitation

2011 ◽  
Vol 8 (1) ◽  
pp. 39-54 ◽  
Author(s):  
S. Mazzoleni ◽  
F. Posteraro ◽  
M. Filippi ◽  
F. Forte ◽  
S. Micera ◽  
...  
Keyword(s):  
Upper Limb ◽  
Quantitative Methods ◽  
Point Of View ◽  
Reaching Movements ◽  
Stroke Patients ◽  
Upper Limb Rehabilitation ◽  
Post Stroke ◽  
Biomechanical Assessment ◽  
Limb Rehabilitation ◽  
Force Data

The main goal of this paper is to describe a method for the assessment of the motor performance in post-stroke subjects who have been undergone a robot-aided upper limb rehabilitation treatment. The motivation for adopting such methodology relies on the need of quantitative methods for the evaluation of the effects of robot-aided rehabilitation treatments, which assumes great importance from the clinical point of view. The method is based on the analysis of biomechanical parameters computed from force data recorded during the execution of planar reaching movements. Data from 17 chronic post-stroke patients and 5 healthy subjects were analysed. The results show the effectiveness of the proposed method, which can contribute to quantitatively evaluate the effects of a robot-mediated therapy on the upper limb of chronic post-stroke subjects.

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