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RADAR-base - Epilepsy Case Study
- Source :
- Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers-UbiComp 18, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers -UbiComp '18, UbiComp/ISWC Adjunct
- Publication Year :
- 2018
-
Abstract
- The traditional hospital set-up is not appropriate for long-term epilepsy seizure detection in naturalistic ambulatory settings. To explore the feasibility of seizure detection in such a setting, an in-hospital study was conducted to evaluate three wearable devices and a data collection platform for ambulatory seizure detection. The platform collects and processes data for study administrators, clinicians and data scientists, who use it to create models to detect seizures. For that purpose, all data collected from the wearable devices is additionally synchronized with the hospital EEG and video, with gold-standard seizure labels provided by trained clinicians. Data collected by wearable devices shows potential for seizure detection in out-of-hospital based and ambulatory settings.
- Subjects :
- medicine.diagnostic_test
business.industry
Computer science
010401 analytical chemistry
Electroencephalography
medicine.disease
Epilepsy seizure
01 natural sciences
0104 chemical sciences
law.invention
03 medical and health sciences
Epilepsy
ComputingMethodologies_PATTERNRECOGNITION
0302 clinical medicine
law
medicine
Medical emergency
Radar
business
mHealth
030217 neurology & neurosurgery
Wearable technology
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers - UbiComp 18
- Accession number :
- edsair.doi.dedup.....e0a3e4f0812852cec2f4c2f1b5927488
- Full Text :
- https://doi.org/10.1145/3267305.3267578