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

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Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection. / Conradsen, Isa; Beniczky, Sandor; Wolf, Peter; Jennum, Poul; Sorensen, Helge B D.

I: I E E E Engineering in Medicine and Biology Society. Conference Proceedings, Bind 2012, 2012, s. 2048-51.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Conradsen, I, Beniczky, S, Wolf, P, Jennum, P & Sorensen, HBD 2012, 'Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection', I E E E Engineering in Medicine and Biology Society. Conference Proceedings, bind 2012, s. 2048-51. https://doi.org/10.1109/EMBC.2012.6346361

APA

Conradsen, I., Beniczky, S., Wolf, P., Jennum, P., & Sorensen, H. B. D. (2012). Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection. I E E E Engineering in Medicine and Biology Society. Conference Proceedings, 2012, 2048-51. https://doi.org/10.1109/EMBC.2012.6346361

Vancouver

Conradsen I, Beniczky S, Wolf P, Jennum P, Sorensen HBD. Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection. I E E E Engineering in Medicine and Biology Society. Conference Proceedings. 2012;2012:2048-51. https://doi.org/10.1109/EMBC.2012.6346361

Author

Conradsen, Isa ; Beniczky, Sandor ; Wolf, Peter ; Jennum, Poul ; Sorensen, Helge B D. / Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection. I: I E E E Engineering in Medicine and Biology Society. Conference Proceedings. 2012 ; Bind 2012. s. 2048-51.

Bibtex

@article{ff428a6a7ccc416f8a2b083e8f2f8614,
title = "Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection",
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.",
author = "Isa Conradsen and Sandor Beniczky and Peter Wolf and Poul Jennum and Sorensen, {Helge B D}",
year = "2012",
doi = "10.1109/EMBC.2012.6346361",
language = "English",
volume = "2012",
pages = "2048--51",
journal = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
issn = "0589-1019",
publisher = "IEEE Signal Processing Society",

}

RIS

TY - JOUR

T1 - Evaluation of novel algorithm embedded in a wearable sEMG device for seizure detection

AU - Conradsen, Isa

AU - Beniczky, Sandor

AU - Wolf, Peter

AU - Jennum, Poul

AU - Sorensen, Helge B D

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

U2 - 10.1109/EMBC.2012.6346361

DO - 10.1109/EMBC.2012.6346361

M3 - Journal article

C2 - 23366322

VL - 2012

SP - 2048

EP - 2051

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SN - 0589-1019

ER -

ID: 48473978