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An epileptic seizure prediction algorithm based on second-order complexity measure

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收录情况： ◇ SCIE

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机构： [1]Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, People’s Republic of China [2]Department of Functional Neurosurgery, Xuanwu Hospital, Capital University of Medical Sciences, Beijing 100053, People’s Republic of China [3]Department of Neurology, Xuanwu Hospital, Capital University of Medical Sciences, Beijing 100053, People’s Republic of China

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关键词： epileptic seizure prediction algorithm Lempel-Ziv complexity second-order complexity

摘要：

The quality of life of many epilepsy patients may be improved significantly if the occurrence of epileptic seizures can be successfully forecasted and clinical intervention, such as electrical stimulation or drug delivery, can then be used to suppress their emergence, or warn the patient of the forthcoming events. In this paper, a prediction algorithm based on the second-order complexity measure was proposed to predict the impending seizures. Through the analysis of long-term intracranial EEG recordings from two frontal lobe epilepsy patients, the results indicated that the sensitivity of prediction was 77.8% (14/18) and 66.7% (4/6) and the number of false warnings was 3 and 2 for the two patients, respectively. Because only the information of past seizures was utilized to predict the current seizure and the computation load was low, the prediction algorithm could possibly be applied to clinical practice.

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出版当年[2004]版：

无

最新[2023]版：

大类 | 4 区医学

小类 | 3 区生物物理 3 区生理学 4 区工程：生物医学

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出版当年[2003]版：

Q2 ENGINEERING, BIOMEDICAL Q3 PHYSIOLOGY Q4 BIOPHYSICS

最新[2023]版：

Q3 ENGINEERING, BIOMEDICAL Q3 BIOPHYSICS Q3 PHYSIOLOGY

影响因子： 2.3 最新[2023版] 2.6 最新五年平均 1.159 出版当年[2003版] 0 出版当年五年平均 1.16 出版前一年[2002版] 1.257 出版后一年[2004版]

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第一作者机构： [1]Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, People’s Republic of China

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