Abstract
The development of surface ElectroMyoGraphy (sEMG) acquisition system having an optimal trade-off between accuracy, resolution, low dimension and power consumption is a hot topic today. The event-driven Average Threshold Crossing (ATC) technique applied to the sEMG signal allows the reduction of both complexity and power consumption of the acquisition board. The paper presents an sEMG acquisition system, based on this approach, and shows the advantages of the ATC in this field. A framework for developing bio-signal ATC-processing applications is provided, enabling the comparison with a standard sEMG sampling approach. Both system performance and power consumption analyses are carried out to obtain promising results in terms of real-time behavior and energy saving. As a sample application, the system is employed in the control of Functional Electrical Stimulation (FES) in way to verify the behavior of the ATC approach in such application.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Robertson, D.G.E.: Research Methods in Biomechanics. 2 edn, part III, chapter 8: Electromyographic Kinesiology - Gary Kamen (2004)
Mitra, S., Acharya, T.: Gesture recognition: a survey. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 37, 311–324 (2007)
Chang, Y.-J., Chen, S.-F., Huang, J.-D.: A Kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities, vol. 32, pp. 2566–2570 (2011)
Girolamo, M.D., Favetto, A., Paleari, M., Celadon, N., Ariano, P.: A comparison of sEMG temporal and spatial information in the analysis of continuous movements. Inf. Med. Unlocked 9, 255–263 (2017)
Atzori, M., Gijsberts, A., Kuzborskij, I., Elsig, S., Mittaz Hager, A.-G., Deriaz, O., Castellini, C., Müller, H., Caputo, B.: Characterization of a Benchmark Database for Myoelectric Movement Classification (2015)
Jani, A.B., Bagree, R., Roy, A.K.: Design of a low-power, low-cost ECG EMG sensor for wearable biometric and medical application. In: 2017 IEEE Sensors, pp. 1–3, Oct 2017
Crepaldi, M., Paleari, M., Bonanno, A., Sanginario, A., Ariano, P., Tran, D.H., Demarchi, D.: 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
Motto Ros, P., Paleari, M., Celadon, N., Sanginario, A., Bonanno, A., Crepaldi, M., Ariano, P., Demarchi, D.: A wireless address-event representation system for ATC-based multi-channel force wireless transmission. In: 5th IEEE International Workshop on Advances in Sensors and Interfaces IWASI, pp. 51–56, June 2013
Sapienza, S., Crepaldi, M., Motto Ros, P., Bonanno, A., Demarchi, D.: On integration and validation of a very low complexity ATC UWB system for muscle force transmission. IEEE Trans. Biomed. Circuits Syst. 10, 497–506, April 2016
Shalaby, R.E.-S.: Development of an electromyography detection system for the control of functional electrical stimulation in neurological rehabilitation (2011)
Bitalino: BITalino Board Kit Data Sheet (2015)
BTS Bioengineering: BTS FreeEMG user manual, October 2008
OpenBCI, OPENBCI CYTON. http://docs.openbci.com/Hardware/02-Cyton
Guzman, D.A.F., Sapienza, S., Sereni, B., Motto Ros, P.: Very low power event-based surface EMG acquisition system with off-the-shelf components. In: IEEE Biomedical Circuits and Systems Conference (BioCAS) (2017). https://doi.org/10.1109/BIOCAS.2017.8325152
Lichtman, A., Fuchs, P.: Hardware and software design for one channel ECG measurement using MSP430 microcontroller. In: 2018 Cybernetics Informatics (K I), pp. 1–5, Jan 2018
Bluetooth Special Interest Group (SIG) and Bluetooth SIG Working Groups, BLUETOOTH SPECIFICATION Version 4.0, June 2010
Microchip, RN4020 Bluetooth Low Energy Module DataSheet, September 2015
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
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. ApplePies 2018. Lecture Notes in Electrical Engineering, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-030-11973-7_21
Download citation
DOI: https://doi.org/10.1007/978-3-030-11973-7_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11972-0
Online ISBN: 978-3-030-11973-7
eBook Packages: EngineeringEngineering (R0)