Abstract
The analysis of the surface ElectroMyoGraphic (sEMG) signal for controlling the Functional Electrical Stimulation (FES) therapy is being widely accepted in the active rehabilitation field due to the high benefits in the restoration of functional movements for subjects affected by neuro-muscular disorders. Portability and real-time functionalities are major concerns, and, among the 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) approach, 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 tested on 5 healthy subjects in order to test its effectiveness: we obtained a correlation coefficient value of 0.86±0.07, as similarity index between the healthy movement and the stimulated one during the elbow flexion exercise.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ferrante S, Chia Bejarano N, Ambrosini E, Nardone A, Turcato AM, Monticone M, Ferrigno G, Pedrocchi A (2016) A personalized multi-channel FES controller based on muscle synergies to support gait rehabilitation after stroke. Frontiers Neurosci 10:425
Perruchoud D, Pisotta I, Carda S, Murray MM, Ionta S (2016) Biomimetic rehabilitation engineering: the importance of somatosensory feedback for brain-machine interfaces. J Neural Eng 13(4):041001
Sweeney JD (1992) Skeletal muscle response to electrical stimulation. In: Reilly JP (ed) Electrical stimulation and electropathology, 1st edn. Press Syndicate of the University of Cambridge
Toledo C, Martinez J, Mercado J, Martín-Vignon-Whaley AI, Vera-Hernández A, Leija-Salas L (2018) sEMG signal acquisition strategy towards hand FES control. J Healthc Eng 2018:1–11
Li Z, Guiraud D, Andreu D, Benoussaad M, Fattal C, Hayashibe M (2016) Real-time estimation of FES-induced joint torque with evoked EMG. J NeuroEng Rehabil 13(1):60
Fernandez Guzman DA, Sapienza S, Sereni B, Motto Ros P (2017) Very low power event-based surface EMG acquisition system with off-the-shelf components. In: IEEE biomedical circuits and systems conference (BioCAS). https://doi.org/10.1109/BIOCAS.2017.8325152.
Rossi F, Motto Ros P, Sapienza S, Bonato P, Bizzi E, Demarchi D (2019) Wireless low energy system architecture for event-driven surface electromyography. In: Saponara S, De Gloria A (eds) Applications in electronics pervading industry, environment and society. Springer International Publishing, Cham, pp 179–185
Sapienza S, Motto Ros P, Fernandez Guzman DA, Rossi F, Terracciano R, Cordedda E, Demarchi D (2018)On-line event-driven hand gesture recognition based on surface electromyographic signals. In: 2018 IEEE international symposium on circuits and systems (ISCAS), pp 1–5
HASOMED GmbH, Operation Manual RehaStim 2, RehaMove 2, Sept 2011
Kuberski B (2012) ScienceMode2—description and protocol
Philips D (2015) Python 3 Object-oriented Programming, 2nd edn. Packt Publishing
Lott S (2015) Functional python programming. Packt Publishing.
Kivy (2019) Kivy home. [Online]. Available: https://kivy.org/#home
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Rossi, F., Rosales, R.M., Motto Ros, P., Demarchi, D. (2020). Real-Time Embedded System for Event-Driven sEMG Acquisition and Functional Electrical Stimulation Control. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2019. Lecture Notes in Electrical Engineering, vol 627. Springer, Cham. https://doi.org/10.1007/978-3-030-37277-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-030-37277-4_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37276-7
Online ISBN: 978-3-030-37277-4
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)