The data acquisition process begins with capturing EEG signals from 20 healthy skilled volunteers who gave their written consent before performing the experiments. Each volunteer was asked to repeat an experiment for 10 times at different frequencies; each experiment was trigger by a visual stimulus.
This Dataset contains EEG recordings from epileptic rats. The genetic absence epilepsy rats (GAERS) are one of the best-established rodent models for generalized epilepsy. The rats show seizures with characteristic "spike and wave discharge" EEG patterns. Experiments were performed in accordance with the German law on animal protection and were approved by the Animal Care and Ethics Committee of the University of Kiel.
For detailed information on the dataset and the classified date, please take a look at the documentation file.
If you use the data set in your research or publications, please reference this IEE Dataport dataset (DOI: https://doi.org/10.21227/y1me-az56 ) and our publication:
Bahr, A.; Schneider, M.; Francis, M.A.; Lehmann, H.M.; Barg, I.; Buschhoff, A.-S.; Wulff, P.; Strunskus, T.; Faupel, F. Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network. Biosensors 2021, 11, 203. https://doi.org/10.3390/bios11070203
This dataset provides the ECG signals recorded in ambulatory (moving) conditions of subjects. The ambulatory ECG (A-ECG) data acquired with two different recorders viz. Biopac MP36 Acquisition system and a self-developed wearable ECG recorder are made available. Total 10 subjects' (with avg. age of 27 years, 1 female and 9 males) ECG signals with four body movements- Left & Right arm up/down, Sitting down & standing up and Waist twist are uploaded.
An EEG signals dataset is also provided here.
Please contact me at: email@example.com for how to use the dataset and further discussion.