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Development and Testing of a Soft Exoskeleton Robotic Hand Training Device.
Jackson, Gregory; Abdullah, Hussein A.
Afiliación
  • Jackson G; The Robotics Institute, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
  • Abdullah HA; The Robotics Institute, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
Sensors (Basel) ; 23(20)2023 Oct 11.
Article en En | MEDLINE | ID: mdl-37896489
ABSTRACT
Hand-function recovery is often a goal for stroke survivors undergoing therapy. This work aimed to design, build, and verify a pneumatic hand training device for its eventual use in post-stroke rehabilitation. The system was built considering prior research in the field of robotic hand rehabilitation as well as specifications and design constraints developed with physiotherapists. The system contained pneumatic airbag actuators for the fingers and thumb of the hand, a set of flex, pressure, and flow sensors, and software and hardware controls. An experiment with the system was carried out on 30 healthy individuals. The sensor readings were analyzed for repeatability and reliability. Position sensors and an approximate biomechanical model of the index finger were used to estimate joint angles during operation. A survey was also issued to the users to evaluate their comfort levels with the device. It was found that the system was safe and comfortable when moving the fingers of the hand into an extension.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procedimientos Quirúrgicos Robotizados / Dispositivo Exoesqueleto / Rehabilitación de Accidente Cerebrovascular Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Procedimientos Quirúrgicos Robotizados / Dispositivo Exoesqueleto / Rehabilitación de Accidente Cerebrovascular Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article