Epileptic seizure detection using wristworn biosensors

D. Cogan, M. Nourani, J. Harvey, V. Nagaraddi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Single signal seizure detection algorithms suffer from high false positive rates. We have found a set of signals which can be easily monitored by a wristworn device and which produce a distinctive pattern during seizure for patients in an epilepsy monitoring unit (EMU). This pattern is much less likely to be reproduced by nonseizure events in the patient's daily life than are changes in heart rate alone. We collected 108 hours of data from three EMU patients who suffered a combined total of seven seizures, then developed a time series analysis/pattern recognition based algorithm which distinguishes the seizures from nonseizure events with 100% accuracy.

Original languageEnglish (US)
Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5086-5089
Number of pages4
Volume2015-November
ISBN (Electronic)9781424492718
DOIs
StatePublished - Nov 4 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
Duration: Aug 25 2015Aug 29 2015

Other

Other37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
CountryItaly
CityMilan
Period8/25/158/29/15

Fingerprint

Biosensing Techniques
Biosensors
Epilepsy
Seizures
Time series analysis
Monitoring
Pattern recognition
Physiologic Monitoring
Heart Rate
Equipment and Supplies

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Cogan, D., Nourani, M., Harvey, J., & Nagaraddi, V. (2015). Epileptic seizure detection using wristworn biosensors. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (Vol. 2015-November, pp. 5086-5089). [7319535] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7319535

Epileptic seizure detection using wristworn biosensors. / Cogan, D.; Nourani, M.; Harvey, J.; Nagaraddi, V.

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. p. 5086-5089 7319535.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cogan, D, Nourani, M, Harvey, J & Nagaraddi, V 2015, Epileptic seizure detection using wristworn biosensors. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. vol. 2015-November, 7319535, Institute of Electrical and Electronics Engineers Inc., pp. 5086-5089, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 8/25/15. https://doi.org/10.1109/EMBC.2015.7319535
Cogan D, Nourani M, Harvey J, Nagaraddi V. Epileptic seizure detection using wristworn biosensors. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November. Institute of Electrical and Electronics Engineers Inc. 2015. p. 5086-5089. 7319535 https://doi.org/10.1109/EMBC.2015.7319535
Cogan, D. ; Nourani, M. ; Harvey, J. ; Nagaraddi, V. / Epileptic seizure detection using wristworn biosensors. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Vol. 2015-November Institute of Electrical and Electronics Engineers Inc., 2015. pp. 5086-5089
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