Enhancing the Reliability of Epileptic Seizure Alarms for Scalp EEG Signals

被引：0

作者：

Khalid, Muhammad Imran ^{[1
,2
]}

Aldosari, Saeed Abdullah ^{[1
,2
]}

Alshebeili, Saleh A. ^{[1
,2
]}

Alotaiby, Turky ^{[3
]}

机构：

[1] King Saud Univ, Dept Elect Engn, Riyadh 11362, Saudi Arabia

[2] King Saud Univ, KACST TIC Radio Frequency & Photon E Sco RFTONICS, Riyadh 11362, Saudi Arabia

[3] KASCT, Riyadh 11442, Saudi Arabia

来源：

2015 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) | 2015年

关键词：

EEG; Epileptic Seizure detection and Prediction; Largest Lyapunov Exponent; Energy Ratio of EEG sub bands;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the key requirement for the development of seizure prediction system is that the seizure alarms generated should be reliable, i.e. the system should have high seizure detection rate and minimum false alarm rate. In this paper, we explore the relationship between the chaotic behavior and energy ratios of the sub bands of an EEG signal. This relationship will then be used to enhance the reliability of seizure alarms generated by measuring the chaoticity of EEG signals using the Largest Lyapunov Exponent (LLE). It is shown, in this paper, that when both LLE and energy ratios of EEC signal sub bands are used to predict an incoming seizure, then the reliability of prediction system gets enhanced; hence any alarm generated in this case must be taken by the patient (caregivers) seriously and appropriate safety measures must also be taken place.

引用

页码：1302 / 1306

页数：5

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