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RADAR-base - Epilepsy Case Study

Authors :
Zulqarnain Rashid
Amos Folarin
Callum Stewart
Sebastian Böttcher
Richard Dobson
Yatharth Ranjan
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.

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