Simulated Epileptic Seizures in UAL Smart Home
Published: 17 June 2022| Version 1 | DOI: 10.17632/37f8w8f7tm.1
Contributor:
Marcos Lupión LorenteDescription
This dataset contains data from four users who have simulated epileptic seizures using a custom wearable device. The data consists of the three coordinates of the accelerometer sensors, the timestamp of generation and the id of the user who produced the data. The frequency of the data is approximately 100 Hz.
Files
Steps to reproduce
- A custom device with accelerometer. - Get accelerometer data using 100Hz as frequency. - Label the epilepsy seizures taking simultaneously to the data generation and storage.
Institutions
Universidad de Almeria
Categories
Machine Learning, e-Health, Federated Learning