OIDA: An optimal interval detection algorithm for automatized determination of stimulation patterns for FES-Cycling in individuals with SCI

OIDA: An optimal interval detection algorithm for automatized determination of stimulation patterns for FES-Cycling in individuals with SCI

Abstract Background FES-Cycling is an exciting recreational activity, which allows certain individuals after spinal cord injury or stroke to exercise their paralyzed muscles. The key for a successful application is to activate the right muscles at the right time. Methods While a stimulation pattern...

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Bibliographic Details
Main Authors:	Martin Schmoll, Ronan Le Guillou, Charles Fattal, Christine Azevedo Coste
Format:	Article
Language:	English
Published:	BMC 2022-04-01
Series:	Journal of NeuroEngineering and Rehabilitation
Subjects:	Functional electrical stimulation (FES) FES-Cycling Cybathlon Spinal cord injury FES-Sports Inertial measurement unit (IMU)
Online Access:	https://doi.org/10.1186/s12984-022-01018-2

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