Study on Real-time Prediction Method of Seizures based on YOLOV3 for EEG Spike Wave Detection

Ding, Yuanxue; Meng, Yuguang; Wang, Lianming

doi:10.1145/3331453.3361657

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Dataset Usage In Epilepsy Prediction Systems1

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2021

2024

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“…To increase the number of samples, different datasets can be combined while ensuring that the electrode locations match. For example, in [31], the Bonn dataset is used to train the system, and the CHB-MIT dataset is used to validate and test the system.…”

Section: Dataset Usage In Epilepsy Prediction Systemsmentioning

confidence: 99%

Comprehensive Analysis of EEG Datasets for Epileptic Seizure Prediction

Rahman

Varnosfaderani

Makke

et al. 2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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This paper provides a comprehensive analysis of the available EEG datasets that are used for epilepsy prediction systems, including Melbourne, CHB-MIT, American Epilepsy Society, Bonn, and European Epilepsy datasets. These datasets are compared in terms of the sampling rate, number of patients, recording time, number of channels, artifacts, and types of EEG signals. We also provide details on the challenges of using one dataset over the others in predicting epilepsy. Subsequently, we compare the performance of various machine learning models that use these datasets for epileptic seizure prediction. This is the first work that provides a comprehensive analysis of various EEG datasets and should be of great importance for researchers in EEG-based systems for epileptic seizure prediction.

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Section: Dataset Usage In Epilepsy Prediction Systemsmentioning

confidence: 99%