This work describes the design, fabrication, and initial testing of a Soft Orthotic Physiotherapy Hand Interactive Aid (SOPHIA) for stroke rehabilitation. SOPHIA consists of (1) a soft robotic exoskeleton, (2) a microcontroller-based control system driven by a brain–machine interface (BMI), and (3) a sensorized glove for passive rehabilitation. In contrast to other rehabilitation devices, SOPHIA is the first modular prototype of a rehabilitation system that is capable of three tasks: aiding extension based assistive rehabilitation, monitoring patient exercises, and guiding passive rehabilitation. Our results show that this prototype of the device is capable of helping healthy subjects to open their hand. Finger extension is triggered by a command from the BMI, while using a variety of sensors to ensure a safe motion. All data gathered from the device will be used to guide further improvements to the prototype, aiming at developing specifications for the next generation device, which could be used in future clinical trials.

SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid / Alistair C. McConnell; Marta Vallejo; Renan Cipriano Moioli; Fabricio L. Brasil; Nicola Secciani; Markus P. Nemitz; Cecile P. Riquart; David W. Corne; Patricia A. Vargas; Adam A. Stokes. - In: FRONTIERS IN MECHANICAL ENGINEERING. - ISSN 2297-3079. - STAMPA. - 3:(2017), pp. 1-13. [10.3389/fmech.2017.00003]

SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid

Nicola Secciani;
2017

Abstract

This work describes the design, fabrication, and initial testing of a Soft Orthotic Physiotherapy Hand Interactive Aid (SOPHIA) for stroke rehabilitation. SOPHIA consists of (1) a soft robotic exoskeleton, (2) a microcontroller-based control system driven by a brain–machine interface (BMI), and (3) a sensorized glove for passive rehabilitation. In contrast to other rehabilitation devices, SOPHIA is the first modular prototype of a rehabilitation system that is capable of three tasks: aiding extension based assistive rehabilitation, monitoring patient exercises, and guiding passive rehabilitation. Our results show that this prototype of the device is capable of helping healthy subjects to open their hand. Finger extension is triggered by a command from the BMI, while using a variety of sensors to ensure a safe motion. All data gathered from the device will be used to guide further improvements to the prototype, aiming at developing specifications for the next generation device, which could be used in future clinical trials.
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Goal 3: Good health and well-being
Goal 9: Industry, Innovation, and Infrastructure
Alistair C. McConnell; Marta Vallejo; Renan Cipriano Moioli; Fabricio L. Brasil; Nicola Secciani; Markus P. Nemitz; Cecile P. Riquart; David W. Corne; Patricia A. Vargas; Adam A. Stokes
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2158/1280627
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