Rashid, Z;
Stewart, CL;
Boettcher, S;
Ranjan, Y;
Dobson, RJB;
Folarin, AA;
(2018)
RADAR-base: Epilepsy Case Study.
In:
Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (Ubicomp/iswc'18 Adjunct).
(pp. pp. 227-230).
ACM
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | RADAR-base: Epilepsy Case Study |
| Event: | ACM International Joint Conference on Pervasive and Ubiquitous Computing / ACM International Symposium on Wearable Computers (UbiComp/ISWC) |
| Location: | Singapore, Singapore |
| Dates: | 8th-12th October 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3267305.3267578 |
| Publisher version: | https://doi.org/10.1145/3267305.3267578 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | mHealth; mobile app; seizures; epilepsy; brain disorders |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10087382 |
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