Importance of methodological choices in data manipulation for validating epileptic seizure detection models

Epilepsy is a chronic neurological disorder that affects a significant portion of the human population and imposes serious risks in the daily life. Despite advances in machine learning and IoT, small, non-stigmatizing wearable devices for continuous monitoring and detection in outpatient environment...

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Bibliographic Details
Published in:	2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Vol. 2023; pp. 1 - 7
Main Authors:	Pale, Una, Teijeiro, Tomas, Atienza, David
Format:	Conference Proceeding Journal Article
Language:	English
Published:	United States IEEE 01.01.2023
Subjects:	comparability cross-validation approaches data selection Electroencephalography - methods Epilepsy Epilepsy - diagnosis Estimation Humans Machine learning Methodological choices Neurological diseases performance metrics reproducibility Reproducibility of Results seizure detection Seizures - diagnosis Sociology Training Wearable computers Wearable Electronic Devices
ISSN:	2694-0604, 2694-0604
Online Access:	Get full text
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