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Live Demonstration: Low Power System for Event-Driven Control of Functional Electrical Stimulation | IEEE Conference Publication | IEEE Xplore

Live Demonstration: Low Power System for Event-Driven Control of Functional Electrical Stimulation


Abstract:

The demonstration presents a surface ElectroMyoGraphy (sEMG) low power wireless system used to control Functional Electrical Stimulation for rehabilitative neuro-muscular...Show More

Abstract:

The demonstration presents a surface ElectroMyoGraphy (sEMG) low power wireless system used to control Functional Electrical Stimulation for rehabilitative neuro-muscular applications. An event-driven technique is applied to the bio-signal, minimising power consumption, complexity, and transmitted data. The acquisition board transmits four channels sEMG event data, through a Bluetooth Low Energy wireless module, to a workstation where they are processed in order to control the stimulation pattern of a commercially available functional stimulator. We will show system functionality and efficiency during the execution of some basic functional movements.
Date of Conference: 27-30 May 2018
Date Added to IEEE Xplore: 04 May 2018
ISBN Information:
Electronic ISSN: 2379-447X
Conference Location: Florence, Italy
References is not available for this document.

I. Overview

Nowadays, the use of low energy electrical pulses to promote muscle contraction, an active therapy known as Functional Electrical Stimulation (FES), is largely employed to prevent and reduce muscle disorders. Usually, the stimulation pattern is defined processing parameters (well known in literature) extracted from the voluntary surface ElectroMyoGraphy (sEMG) signal, with the aim of making the contraction the more physiological as possible [1].

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1.
K. Shima and K. Shimatani, “A new approach to direct rehabilitation based on functional electrical stimulation and emg classification,” in 2016 International Symposium on Micro-NanoMechatronics and Human Science (MHS), pp. 1–6, Nov 2016.
2.
M. Crepaldi, M. Paleari, A. Bonanno, A. Sanginario, P. Ariano, D. H. Tran, and D. Demarchi, “A quasi-digital radio system for muscle force transmission based on event-driven IR-UWB,” in 2012 IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 116–119, Nov 2012.
3.
D. A. F. Guzman, S. Sapienza, B. Sereni, and P. Motto Ros, “Very low power event-based surface EMG acquisition system with off-the-shelf components,” in 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2017.

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References

References is not available for this document.