Towards a multi-sensor system for the diagnosis of neurological disorders

Felix Tenner; Axel Schramm; Mona Sohle; Martin Regensburger; Elisa Wirthmann; Zeev Zalevsky; Michael Schmidt

doi:10.1109/aim.2016.7576816

Towards a multi-sensor system for the diagnosis of neurological disorders

Felix Tenner, Axel Schramm, Mona Sohle, Martin Regensburger, Elisa Wirthmann, Zeev Zalevsky, Michael Schmidt

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Friedrich-Alexander University Erlangen-Nürnberg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

The occurrence of fasciculations is an indication for several neurological disorders. However, due to the low amplitude and irregular occurrence, these involuntary muscle movements are hard to quantify. Currently used techniques have to be applied manually from a trained specialist and lack the possibility of a remote measurement of fasciculations. Therefore, we introduce a new approach which is able to remotely measure fasciculations with high temporal resolution. Moreover, we compare the sensitivity of our technique with established methods and give an outlook how our technology can be expanded to a multi-sensor system for the automated diagnosis of neurological disorders.

Original language	English
Title of host publication	2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	495-500
Number of pages	6
ISBN (Electronic)	9781509020652
DOIs	https://doi.org/10.1109/aim.2016.7576816
State	Published - 26 Sep 2016
Event	2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - Banff, Canada Duration: 12 Jul 2016 → 15 Jul 2016

Publication series

Name	IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume	2016-September

Conference

Conference	2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
Country/Territory	Canada
City	Banff
Period	12/07/16 → 15/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Funding

The authors gratefully acknowledge funding of the Erlangen Graduate School in Advanced Optical Technologies (SAOT) by the German Research Foundation (DFG) in the framework of the German excellence initiative

Funders	Funder number
Deutsche Forschungsgemeinschaft
Erlangen Graduate School of Advanced Optical Technologies

Access to Document

10.1109/aim.2016.7576816

Cite this

Tenner, F., Schramm, A., Sohle, M., Regensburger, M., Wirthmann, E., Zalevsky, Z., & Schmidt, M. (2016). Towards a multi-sensor system for the diagnosis of neurological disorders. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 (pp. 495-500). Article 7576816 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2016-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/aim.2016.7576816

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abstract = "The occurrence of fasciculations is an indication for several neurological disorders. However, due to the low amplitude and irregular occurrence, these involuntary muscle movements are hard to quantify. Currently used techniques have to be applied manually from a trained specialist and lack the possibility of a remote measurement of fasciculations. Therefore, we introduce a new approach which is able to remotely measure fasciculations with high temporal resolution. Moreover, we compare the sensitivity of our technique with established methods and give an outlook how our technology can be expanded to a multi-sensor system for the automated diagnosis of neurological disorders.",

author = "Felix Tenner and Axel Schramm and Mona Sohle and Martin Regensburger and Elisa Wirthmann and Zeev Zalevsky and Michael Schmidt",

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Tenner, F, Schramm, A, Sohle, M, Regensburger, M, Wirthmann, E, Zalevsky, Z & Schmidt, M 2016, Towards a multi-sensor system for the diagnosis of neurological disorders. in 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016., 7576816, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, vol. 2016-September, Institute of Electrical and Electronics Engineers Inc., pp. 495-500, 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016, Banff, Canada, 12/07/16. https://doi.org/10.1109/aim.2016.7576816

Towards a multi-sensor system for the diagnosis of neurological disorders. / Tenner, Felix; Schramm, Axel; Sohle, Mona et al.
2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 495-500 7576816 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2016-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Tenner F, Schramm A, Sohle M, Regensburger M, Wirthmann E, Zalevsky Z et al. Towards a multi-sensor system for the diagnosis of neurological disorders. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 495-500. 7576816. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). doi: 10.1109/aim.2016.7576816

Towards a multi-sensor system for the diagnosis of neurological disorders

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