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Fig. 2 | Journal of NeuroEngineering and Rehabilitation

Fig. 2

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

Fig. 2

Flowchart of the OIDA. Schematic representation of the optimal interval detection algorithm. After setting the parameters, a predefined number of passive (without stimulation) and active (with continuous stimulation) cycles are recorded. The net-torque (i.e. active torque minus passive torque) is used to determine an optimal interval (i.e. start and stop value of the crank-angle) for applying stimulation

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