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Article

Embedded Bio-Mimetic System for Functional Electrical Stimulation Controlled by Event-Driven sEMG †

Dipartimento di Elettronica e Telecomunicazioni (DET), Politecnico di Torino, 10129 Torino, Italy
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in: Rossi, F., Rosales, M. R., Motto Ros, P., Danilo, D. Real-Time Embedded System for Event-Driven sEMG Acquisition and Functional Electrical Stimulation Control. In Proceedings of the 2019 International Conference on Applications in Electronics Pervading Industry, Environment and Society (ApplePies), Pisa, Italy, 11–13 September 2019.
Sensors 2020, 20(5), 1535; https://doi.org/10.3390/s20051535
Received: 7 February 2020 / Revised: 2 March 2020 / Accepted: 7 March 2020 / Published: 10 March 2020
The analysis of the surface ElectroMyoGraphic (sEMG) signal for controlling the Functional Electrical Stimulation (FES) therapy is being widely accepted as an active rehabilitation technique for the restoration of neuro-muscular disorders. Portability and real-time functionalities are major concerns, and, among others, two correlated challenges are the development of an embedded system and the implementation of lightweight signal processing approaches. In this respect, the event-driven nature of the Average Threshold Crossing (ATC) technique, considering its high correlation with the muscle force and the sparsity of its representation, could be an optimal solution. In this paper we present an embedded ATC-FES control system equipped with a multi-platform software featuring an easy-to-use Graphical User Interface (GUI). The system has been first characterized and validated by analyzing CPU and memory usage in different operating conditions, as well as measuring the system latency (fulfilling the real-time requirements with a 140 ms FES definition process). We also confirmed system effectiveness, testing it on 11 healthy subjects: The similarity between the voluntary movement and the stimulate one has been evaluated, computing the cross-correlation coefficient between the angular signals acquired during the limbs motion. We obtained high correlation values of 0.87 ± 0.07 and 0.93 ± 0.02 for the elbow flexion and knee extension exercises, respectively, proving good stimulation application in real therapy-scenarios. View Full-Text
Keywords: surface electromyography; event-driven; functional electrical stimulation; embedded system surface electromyography; event-driven; functional electrical stimulation; embedded system
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MDPI and ACS Style

Rossi, F.; Motto Ros, P.; Rosales, R.M.; Demarchi, D. Embedded Bio-Mimetic System for Functional Electrical Stimulation Controlled by Event-Driven sEMG. Sensors 2020, 20, 1535. https://doi.org/10.3390/s20051535

AMA Style

Rossi F, Motto Ros P, Rosales RM, Demarchi D. Embedded Bio-Mimetic System for Functional Electrical Stimulation Controlled by Event-Driven sEMG. Sensors. 2020; 20(5):1535. https://doi.org/10.3390/s20051535

Chicago/Turabian Style

Rossi, Fabio, Paolo Motto Ros, Ricardo M. Rosales, and Danilo Demarchi. 2020. "Embedded Bio-Mimetic System for Functional Electrical Stimulation Controlled by Event-Driven sEMG" Sensors 20, no. 5: 1535. https://doi.org/10.3390/s20051535

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