Integration and Validation of Soft Wearable Robotic Gloves for Sensorimotor Rehabilitation of Human Hand Function

This study aims to present the development of a wearable prototype device consisting of soft robotic gloves (SRGs), its integration into a wearable robotics platform for sensorimotor rehabilitation, and the device’s validation experiments with individuals suffering from impaired hand motor function due to neurological lesions. The SRG is tested and evaluated by users with spinal cord injury (SCI) and stroke. The proposed system combines multiple-sensor arrays with pneumatic actuation to assist finger movement during grasping tasks. Evaluations on SCI and stroke patients revealed that the gloves consistently improved finger and grip performance. Detailed analyses indicated observable differences in sensor-derived features during actuation versus non-actuation, with statistically significant modifications appearing in both time-domain and frequency-domain metrics. Although the stroke participants exhibited greater variability, all participants were able to use the system reporting low discomfort and effort. The findings underscore the potential for personalized calibration to further optimize therapeutic outcomes. In summary, the study validates the utility of these gloves as assistive and rehabilitative modalities, and future research will focus on refining the device in the context of multimodal wearable robotics and individualized neurorehabilitation strategies.

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Publication Details

Journal
Applied Sciences
Published
2025-05-09
DOI
https://doi.org/10.3390/app15105299
Citations
6
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
4.04

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article

Integration and Validation of Soft Wearable Robotic Gloves for Sensorimotor Rehabilitation of Human Hand Function

Konstantinos Mitsopoulos, Alexander Astaras, Panagiotis E. Antoniou, Konstantinos Kasimis et al.
6 citations
Applied Sciences
Muscle activation and electromyography studies
4.04
article

Integration and Validation of Soft Wearable Robotic Gloves for Sensorimotor Rehabilitation of Human Hand Function

Konstantinos Mitsopoulos, Alexander Astaras, Panagiotis E. Antoniou, Konstantinos Kasimis, Kostas Nizamis, Konstantinos Tagaras, Alkinoos Athanasiou, Markos G. Tsipouras, Panagiotis D. Bamidis, Vasileia Petronikolou, Vasiliki Fiska, Vasiliki Mantiou
article en
6 citations

Abstract

This study aims to present the development of a wearable prototype device consisting of soft robotic gloves (SRGs), its integration into a wearable robotics platform for sensorimotor rehabilitation, and the device’s validation experiments with individuals suffering from impaired hand motor function due to neurological lesions. The SRG is tested and evaluated by users with spinal cord injury (SCI) and stroke. The proposed system combines multiple-sensor arrays with pneumatic actuation to assist finger movement during grasping tasks. Evaluations on SCI and stroke patients revealed that the gloves consistently improved finger and grip performance. Detailed analyses indicated observable differences in sensor-derived features during actuation versus non-actuation, with statistically significant modifications appearing in both time-domain and frequency-domain metrics. Although the stroke participants exhibited greater variability, all participants were able to use the system reporting low discomfort and effort. The findings underscore the potential for personalized calibration to further optimize therapeutic outcomes. In summary, the study validates the utility of these gloves as assistive and rehabilitative modalities, and future research will focus on refining the device in the context of multimodal wearable robotics and individualized neurorehabilitation strategies.

Applied SciencesVol. 15(10)
Anatolia College (GR), International Hellenic University (GR), Aristotle University of Thessaloniki (GR), University of Western Macedonia (GR), University of Twente (NL)
Aristotle University of Thessaloniki, Hellenic Foundation for Research and Innovation
Openalex Percentile: Top 6%
Muscle activation and electromyography studies
4.04
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