"Synthetic 3-Axis Accelerometer Dataset and Simulator for Epileptic Event Detection Derived from US Patent 8,109,891 B2"

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Authors: Uri Kartoun
Cited by: 0

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