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Fig. 1 | Journal of NeuroEngineering and Rehabilitation

Fig. 1

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

Fig. 1

© Inria / Photo H. Raguet)

Measurement setup. A commercially available trike (CATrike 700) was adapted to allow for FES-Cycling in individuals with SCI. The crank-angle and bilateral torque were measured wirelessly by a power-meter (ROTOR 2INPOWER) at a sampling rate of 50 Hz. The thigh-angle was assessed bilaterally through 2 independent inertial measurement units (BNO055) at a sample-rate of 100 Hz. All data was processed by a Raspberry PI running the IMUSEF software (control system). (Image:

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