Abstract
This research introduces the Open Seizure Database and Toolkit as a
novel, publicly accessible resource designed to advance
non-electroencephalogram seizure detection research. This paper
highlights the scarcity of resources in the non-electroencephalogram
domain and establishes the Open Seizure Database as the first openly
accessible database containing multimodal sensor data from 49
participants in real-world, in-home environments. The database is
comprised of 494 events, encompassing 146 epileptic seizures, collected
over a duration of 453 days, presenting the most extensive publicly
available non-electroencephalogram seizure data to date. Additionally,
the database has 348 labelled false alarms, including 302 common human
movements and activities. The Open Seizure Toolkit is designed to
facilitate machine and deep learning practices by streamlining data from
the Open Seizure Database. Utilising these resources, researchers can
rapidly develop and train seizure detection models before deploying them
to the Open Seizure Detector Android application. Access to these
resources is expected to foster collaborative efforts, ultimately
contributing to the establishment of a non-electroencephalogram gold
standard and advancing the field of seizure detection.
Please view the OSDB at
https://ieee-dataport.org/documents/open-seizure-database-v100