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Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection

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Authors:
  • Conradsen, Isa ;
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    Department of Electrical Engineering, Technical University of Denmark
  • Beniczky, Sandor ;
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    Aarhus University Hospital
  • Wolf, Peter ;
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    University of Copenhagen
  • Jennum, Poul ;
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    University of Copenhagen
  • Sorensen, Helge B.D.
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    Orcid logo0000-0001-5716-7600
    Department of Electrical Engineering, Technical University of Denmark
DOI:
10.1109/EMBC.2012.6346361
Abstract:
We implemented a modified version of a previously published algorithm for detection of generalized tonic-clonic seizures into a prototype wireless surface electromyography (sEMG) recording device. The method was modified to require minimum computational load, and two parameters were trained on prior sEMG data recorded with the device. Along with the normal sEMG recording, the device is able to set an alarm whenever the implemented algorithm detects a seizure. These alarms are annotated in the data file along with the signal. The device was tested at the Epilepsy Monitoring Unit (EMU) at the Danish Epilepsy Center. Five patients were included in the study and two of them had generalized tonic-clonic seizures. All patients were monitored for 2–5 days. A double-blind study was made on the five patients. The overall result showed that the device detected four of seven seizures and had a false detection rate of 0.003/h or one in twelve days.
ISBN:
9781424441198
Type:
Conference paper
Language:
English
Published in:
Ieee Engineering in Medicine and Biology Society Conference Proceedings, 2012, Vol 2012, p. 2048-2051
Keywords:
Journal Article; Research Support, Non-U.S. Gov't
Main Research Area:
Science/technology
Publication Status:
Published
Review type:
Peer Review
Conference:
34th Annual International Conference of the IEEE EMBS, 2012
Publisher:
IEEE
Submission year:
2012
Scientific Level:
Scientific
ID:
232633638

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