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

Internet

https://doi.org/10.1186/s12984-022-01018-2

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