"Synthetic 3-Axis Accelerometer Dataset and Simulator for Epileptic Event Detection Derived from US Patent 8,109,891 B2"
Abstract
"This dataset package contains synthetic 3-axis accelerometer signals, simulator code, documentation, and figures inspired by US Patent 8,109,891 B2, \u201cDevice and method for detecting an epileptic event.\u201d The package models seizure-related and non-seizure motion patterns using frequency, amplitude, directionality, DC-removal, autocorrelation, and feature-based seizure probability scoring. It includes six scenarios: clonic seizure, tonic seizure, beating on table, night stretch, typing on keyboard, and no movement. The bundle is intended for reproducibility, benchmarking, education, and exploratory algorithm development. The data are synthetic and were computationally generated from the source document; they are not patient data and are not extracted from the original inventors\u2019 underlying recordings."
Fields of Study & Subjects
Context-Aware Activity Recognition Systems
EEG and Brain-Computer Interfaces
Epilepsy research and treatment
Publication details
- Journal / source
- IEEE DataPort
- Publication date
- 15 March 2026
- Language
- EN
- Document type
- Dataset