Abstract
Involuntary muscle activities like fasciculations or tremor are an indication for several neurological disorders. However, currently used techniques for measuring those activities are limited due to their invasiveness, the unsuitability for measuring a whole body simultaneously and the lack of an objective measurement of amplitude and duration of muscle activity. Hence, we developed a new laser-based sensor for the remote quantification of muscle activity. In the present paper we show a basic evaluation of our system by reference to ultrasound measurements. Our results show the detection limits of our remote sensor technology in terms of fasciculation size and depth within the muscle. Those results will help us for a better interpretation of our measurement results and hold promise for the future development of our system.
Original language | English |
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Title of host publication | 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
Subtitle of host publication | Smarter Technology for a Healthier World, EMBC 2017 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 4231-4234 |
Number of pages | 4 |
ISBN (Electronic) | 9781509028092 |
DOIs | |
State | Published - Jul 2017 |
Event | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: 11 Jul 2017 → 15 Jul 2017 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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ISSN (Print) | 1557-170X |
Conference
Conference | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 11/07/17 → 15/07/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Funding
ACKNOWLEDGMENT 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 |
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Deutsche Forschungsgemeinschaft | |
Erlangen Graduate School of Advanced Optical Technologies |