相关数据集
Wearable Seizure Forecasting Pilot
Mobile app and wearable smartwatch data If you use this data please cite: Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, Ewan S. Nurse, Tatiana Kameneva, Mark J. Cook, Pedro F. Viana, Mark P
DataCite Commons2023-10-17 更新110
Data_Sheet_1_Forecasting Seizure Likelihood With Wearable Technology.docx
The unpredictability of epileptic seizures exposes people with epilepsy to potential physical harm, restricts day-to-day activities, and impacts mental well-being. Accurate seizure forecasters would r
NIAID Data Ecosystem20
Source code for surrogate-based methods for the evaluation of seizure forecas...
This source code package allows you to run the analysis underlying the article "Are seizure forecasts and cycles better than chance? What chance?" by Ralph G. Andrzejak, Martin...
B2FIND10
Data_Sheet_1_Decrease in wearable-based nocturnal sleep efficiency precedes epileptic seizures.PDF
IntroductionWhile it is known that poor sleep is a seizure precipitant, this association remains poorly quantified. This study investigated whether seizures are preceded by significant changes in slee
NIAID Data Ecosystem40
Data From: Billeci Et Al. "Patient-Specific Seizure Prediction Based On Heart Rate Variability And Recurrence Quantification Analysis"
Dataset of electrocardiogram and electroencephalogram signals (.edf) acquired in epileptic patients (N=15). All the patients were long-term monitored with a Video-EEG, with electrodes arranged on the
Zenodo2020-09-20 更新10
