Simulated Epileptic Seizures in UAL Smart Home

Published: 17 June 2022| Version 1 | DOI: 10.17632/37f8w8f7tm.1
Contributor:
Marcos Lupión Lorente

Description

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

License