A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment

Brückner S, Weber J, Michler F, Shanin N, Schober R, Hagelauer A, Weigel R, Gaßner H, Winkler J, Eskofier B, Vossiek M (2023)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2023

Journal

IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 0

Pages Range: 1--10

Article Number: 10286030

Journal Issue: 0

URI: https://ieeexplore.ieee.org/document/10286030

DOI: 10.1109/JERM.2023.3321974

Open Access Link: https://ieeexplore.ieee.org/document/10286030

Abstract

Real-time sensory recording of the musculoskeletal system function is an important tool for the diagnosis, treatment planning, and optimal treatment execution of diseases, such as Parkinson's disease and osteoarthritis. This article presents a new wireless joint communication and localization electromyography (EMG)-sensing concept. An on-body sensor beacon measures EMG signals and wirelessly transmits them. At the same time, the spatial position and movement of the beacon is determined with high precision in real time using these transmitted radio signals. The seamless integration of multiple sensors avoids the need to synchronize and individually set up multiple independently operating sensors. An outstanding feature of the radio localization approach is that it does not require proprietary ultra-wideband signals or complicated time synchronization protocols, allowing for small and energy-efficient implementation. To demonstrate this novel concept, a wireless 3D-localizable EMG sensor was developed and experimentally evaluated. This new type of sensing concept allows, for the first time, the time-synchronous measurement of muscle activity and the underlying movement of the associated body part.
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10286030&isnumber=8000303

Authors with CRIS profile

Stefan Brückner Lehrstuhl für Hochfrequenztechnik (LHFT) Jasmin Kolpak Lehrstuhl für Technische Elektronik (LTE) Fabian Michler Lehrstuhl für Technische Elektronik (LTE) Nikita Shanin Sonderforschungsbereich 1483/1 Empathokinästhetische Sensorik – Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung (EmpkinS) Robert Schober Lehrstuhl für Digitale Übertragung (IDC) Robert Weigel Lehrstuhl für Technische Elektronik (LTE) Heiko Gaßner Department of Molecular Neurology Jürgen Winkler Professur für Molekulare Neurologie Björn Eskofier Machine Learning and Data Analytics Lab Martin Vossiek Lehrstuhl für Hochfrequenztechnik (LHFT)

Additional Organisation(s)

FAU Profilzentrum Licht.Materie.Quantentechnologien (FAU LMQ)

Related research project(s)

Highly integrated localizable EMG beacon (SFB 1483 EmpkinS A03) Empatho-Kinaesthetic Sensor Technology (SFB 1483 EmpkinS) Jan. 1, 2021 - Dec. 31, 2025 Holographische 6D-Funkortung und Bewegungsverfolgung (SFB 1483 EmpkinS A02) Empatho-Kinaesthetic Sensor Technology (SFB 1483 EmpkinS) July 1, 2021 - June 30, 2025

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Brückner, S., Weber, J., Michler, F., Shanin, N., Schober, R., Hagelauer, A.,... Vossiek, M. (2023). A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 0(0), 1--10. https://doi.org/10.1109/JERM.2023.3321974

MLA:

Brückner, Stefan, et al. "A Wireless Joint Communication and Localization EMG-Sensing Concept for Movement Disorder Assessment." IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 0.0 (2023): 1--10.

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