Abstract
In recent years, the application of IoT for health purposes, including the intense use of wearable devices, has been considerably growing. Among the wearable devices, the systems for measuring EMG (electromyography) signals are highly investigated. The possibility of recording different signals in a multichannel approach can lead to reliable data that can be used to improve diagnostic techniques, analyze performance in sports professionals and perform remote rehabilitation. In this work, we describe the design of a novel wearable system for surface EMG using a compact electronic board and a printed matrix of electrodes. The whole system has an estimated maximum current absorption of 55 mA at 3.3 V. We focused on the subsystem integration and on the real-time data transmission through Bluetooth Low Energy (BLE) with a throughput of 28 kB/s with a success rate of 99%. Some preliminary data are collected on a healthy man’s arm to validate the design. The acquired data are then analyzed and processed to improve information quality and extract contraction patterns.
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
Borghetti, M., Serpelloni, M., Sardini, E., Casas, O.: Multisensor system for analyzing the thigh movement during walking. IEEE Sens. J. 15, 4953–4961 (2017)
Mekki, F., Borghetti, M., Sardini, E., Serpelloni, M.: Wireless instrumented cane for walking monitoring in parkinson patients. In: 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 414–419 (2017)
Trung, T.Q., Lee, N.E.: Flexible and stretchable physical sensor integrated platforms for wearable human-activity monitoring and personal healthcare. Adv. Mater. 22, 4338–4372 (2016)
Chlaihawi, A.A., Narakathu, B.B., Emamian, S., Bazuin, B.J., Atashbar, M.Z.: Development of printed and flexible dry ECG electrodes. Sens. Bio-Sens. Res. 20, 9–15 (2018)
Kim, N., Lim, T., Song, K., Yang, S., Lee, J.: Stretchable multichannel electromyography sensor array covering large area for controlling home electronics with distinguishable signals from multiple muscles. ACS Appl. Mater. Interfaces 32, 21070–21076 (2016)
Ishak, A.J., Ahmad, S.A., Soh, A.C., Naraina, N.A., Jusoh, R.M.R., Chikamune, W.: Design of a wireless surface EMG acquisition system. IEEE (2017)
Choi, H.S.: EMG sensor system for neck fatigue assessment using RF wireless power transmission. IEEE (2018)
Higashi, S., Goto, D., Okada, S., Shiozawa, N., Makikawa, M.: Development of wearable EMG measurement system on forearm for wrist gestures discrimination. IEEE (2019)
Borghetti, M., Fapanni, T., Lopomo, N.F., Sardini, E., Serpelloni, M.: A preliminary study on aerosol jet-printed stretchable dry electrode for electromyography. In: Saponara, S., De Gloria, A. (eds.) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2020. Lecture Notes in Electrical Engineering, vol. 738. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-66729-0_36
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Fapanni, T., Lopomo, N.F., Sardini, E., Serpelloni, M. (2021). Novel Wearable System for Surface EMG Using Compact Electronic Board and Printed Matrix of Electrodes. In: Goleva, R., Garcia, N.R.d.C., Pires, I.M. (eds) IoT Technologies for HealthCare. HealthyIoT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-030-69963-5_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-69963-5_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-69962-8
Online ISBN: 978-3-030-69963-5
eBook Packages: Computer ScienceComputer Science (R0)