ATMOSPHERE: Artificial intelligence To Maximise and Optimise Seizure Prediction to EmpoweR people with Epilepsy.

Loading...
Thumbnail Image
Authors
Tittensor, Phil
Issue Date
2024-06-23
Type
Conference Poster
Poster
Keywords
Algorithm
Artifical intelligence
ATMOSPHERE project
Epilepsy
Prediction
Seizures
Smart phones
Smartphone App
Unpredictability
Machine learning
Wearable devices
Journal
Volume
Issue
Research Projects
Organizational Units
Journal Issue
Alternative Title
Abstract
The Atmosphere project exploits a machine learning algorithm, coupled with an intuitive smartphone app, to forecast an individual’s risk of experiencing a seizure. It is made up of three areas of development the machine learning algorithm, the wearable data recording device and the companion smartphone app. All development within the project is carried out with clinicians and people recruited from the Epilepsy Research Institute’s Shape Network and Epilepsy Action. Currently, focus is on participants from this and our PPI user group.
Citation
Stuart L, Tittensor P, Junges L, Deighan, Charles R. Kissack P. Qureshi Y. Kamaraj AK, Privett S, Woldman W, Brigden A. ATMOSPHERE Artificial intelligence To Maximise and Optimise Seizure Prediction to EmpoweR people with Epilepsy. [Poster]. Presented at the Epilepsy Nurses Association conference held at Kents Hill Park Training and Conference Centre, Milton Keynes on 23rd-24th June 2024.
DOI
EISSN