Accession Number : ADA295629

Title :   Neural Networks in Seizure Diagnosis.

Descriptive Note : Final rept.,

Corporate Author : ARMY ARMAMENT RESEARCH DEVELOPMENT AND ENGINEERING CENTER WATERVLIET NY BENET LABS

Personal Author(s) : Johnson, M. A. ; Kendall, G. ; Cote, P. J. ; Meisel, L. V.

PDF Url : ADA295629

Report Date : MAR 1995

Pagination or Media Count : 17

Abstract : A monitor has been designed to detect the onset of status epilepticus associated with complex partial seizures in children. A unique sensor technology was developed to detect the minor, barely perceptible tremors characteristic of partial seizures. A microcontroller analyzes the sensor data and activates a remote tetherless alarm when a seizure is detected. However, the sensor response is similar for both casual and seizure activity, therefore, false alarms do occur. Neural networks have been studied as a means of analyzing the sensor response and differentiating seizure activity from casual motion. The network uses elements of the normalized power spectrum of the response data as a feature set. Our results indicate this approach provides a faster and more reliable means of accurately detecting seizures than the method currently employed.

Descriptors :   *NEURAL NETS, *MONITORS, *EPILEPSY, DETECTORS, POWER SPECTRA, FALSE ALARMS, RESPONSE, CHILDREN, CONVULSIVE DISORDERS, TREMORS.

Subject Categories : Medicine and Medical Research
      Stress Physiology

Distribution Statement : APPROVED FOR PUBLIC RELEASE