<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper introduces novel contributions to the field of hand rehabilitation systems designed for stroke patients. The primary objective is to enhance voluntary movements in the paralyzed upper limbs, with a particular focus on hand functionality. The system, known as MANUTEX, comprises two main components: functional electrical stimulation (FES) implemented through a textile glove with embedded electrodes, connected to a programmable neurostimulator, and a mechatronic exoskeleton resembling a glove, powered by individual linear motors for each finger. These linear motors are controlled by a programmable microcontroller on a central board. MANUTEX delivers mirror therapy, a therapeutic approach requiring a sensory glove attached to the healthy hand. This sensory glove provides reference movements for the hybrid system located on the affected, impaired hand. An application installed on a computer serves as the control interface for the entire system. It reads movement data from the healthy hand and concurrently sends commands to both the FES and mechatronic exoskeleton glove, ensuring a balanced and synchronized therapeutic experience for the patient.</p>
</abstract>

This paper introduces novel contributions to the field of hand rehabilitation systems designed for stroke patients. The primary objective is to enhance voluntary movements in the paralyzed upper limbs, with a particular focus on hand functionality. The system, known as MANUTEX, comprises two main components: functional electrical stimulation (FES) implemented through a textile glove with embedded electrodes, connected to a programmable neurostimulator, and a mechatronic exoskeleton resembling a glove, powered by individual linear motors for each finger. These linear motors are controlled by a programmable microcontroller on a central board. MANUTEX delivers mirror therapy, a therapeutic approach requiring a sensory glove attached to the healthy hand. This sensory glove provides reference movements for the hybrid system located on the affected, impaired hand. An application installed on a computer serves as the control interface for the entire system. It reads movement data from the healthy hand and concurrently sends commands to both the FES and mechatronic exoskeleton glove, ensuring a balanced and synchronized therapeutic experience for the patient.

The Software Interface of a Hybrid FES and Mechatronic Exoskeleton System for Hand Rehabilitation in Stroke People

“Gheorghe Asachi” Technical University of Iași

Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This paper introduces novel contributions to the field of hand rehabilitation systems designed for stroke patients. The primary objective is to enhance...

The Software Interface of a Hybrid FES and Mechatronic Exoskeleton System for Hand Rehabilitation in Stroke People

Publié en ligne: 16 nov. 2023

Pages: 75 - 87

Reçu: 16 juil. 2023

Accepté: 27 août 2023

DOI: https://doi.org/10.2478/bipie-2022-0018

Mots clés
neuromuscular diseases, upper limb rehabilitation, FES, exoskeleton, rehabilitation glove

© 2022 Radu Ionaşcu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The Software Interface of a Hybrid FES and Mechatronic Exoskeleton System for Hand Rehabilitation in Stroke People

Publié en ligne: 16 nov. 2023

Pages: 75 - 87

Reçu: 16 juil. 2023

Accepté: 27 août 2023

DOI: https://doi.org/10.2478/bipie-2022-0018

Mots clésneuromuscular diseases, upper limb rehabilitation, FES, exoskeleton, rehabilitation glove

© 2022 Radu Ionaşcu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
neuromuscular diseases, upper limb rehabilitation, FES, exoskeleton, rehabilitation glove