官方服务：
资源简介：
Data used for analyses
应用场景：
创建时间：
2021-12-16
相关数据集
Data characteristics for the Kaggle.com seizure forecasting contest.
Source: [9].
Figshare2017-06-21 更新60
Patient E
R workspace format. Variable "series" is the multivariate time series with time, scalp and FOE activity. The first column corresponds to time(in minutes). The following 16 channels correspond to scalp
Figshare2015-10-29 更新30
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
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
As in Table 3 showing sensitivity and FPR for an IT of 30, 20 and 10 minutes and for the best and 1st seizure training case for an SOP of 20 minutes.
As in Table 3 showing sensitivity and FPR for an IT of 30, 20 and 10 minutes and for the best and 1st seizure training case for an SOP of 20 minutes.
Figshare2015-12-02 更新30
