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Date: Aug. 25, 2014
Time: 16:30-18:00
Place: S9
Name: Ping Zhou(Jinan University, China)
Topic: Power Spectral Entropy in the ECG of Patients Suffered from Nocturnal Frontal Lobe Epilepsy
Abstract:
An explorative study to assess the regularity of nocturnal frontal lobe epilepsy’s sleeping disease patients with power spectral entropy and power spectral entropy change in the different sleep stages is proposed. We analyzed the ECG data from 20 subjects, including 10 patients with nocturnal frontal lobe epilepsy’s sleeping disease and 10 healthy subjects. The ECG data is obtained from PhysioBank CAP Sleep Database. The first step is to estimate the ECG power spectra. Then the power spectra are divided into six sub-bands. The final step is to analyze each sub-band power spectrum entropy. In comparison with the results obtained from the control group, power spectral entropy in the patients suffered from nocturnal frontal epilepsy is smaller in the frequency bands of 4Hz-8Hz, 8Hz-20Hz, 20Hz-64Hz. Further, the patients’ power spectral entropy in the band of 4Hz-8Hz is smaller than that in 1.5Hz-4Hz. The ECG of nocturnal frontal lobe epilepsy’s sleep disease patients has different information entropy. The entropy decrease in nocturnal frontal lobe epilepsy states indicates that the complexity of the heart falls and the normal physiological functions are affected. We can draw a preliminary conclusion that the main frequency band reflecting nocturnal frontal lobe epilepsy is 4Hz-8Hz.