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首页> 外文会议>2017 International Conference on Inventive Computing and Informatics >Study of significance of spectral and wavelet energy measures to detect the electrical onset of seizure
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Study of significance of spectral and wavelet energy measures to detect the electrical onset of seizure

机译：频谱和小波能量测量对检测癫痫发作的重要性的研究

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The objective of this study is to assess the utility of spectral and wavelet energy measures in detecting electrical onset of seizure in patients with temporal lobe epilepsy (TLE). The scalp-recorded EEG data of 20 seizures from 11 TLE patients is used for this study. The spectral and wavelet energy in same set of frequency bands are calculated for each 4 s windowed EEG signal. Among the 14 measures, 3-6 Hz and 6-12 Hz band spectral and wavelet energy increases at electrical onset in 60% and 90% of the recorded seizures respectively. The spectral and wavelet energy in 1-3 Hz band increases in 40% of the recorded seizures. This study identifies the correlation between spectral and wavelet energy in same frequency bands. Hence the simple and efficient spectral energy measures are selected as significant features for the design of automated seizure detection system.
机译：这项研究的目的是评估频谱和小波能量测量在检测颞叶癫痫（TLE）患者癫痫发作的电发作中的实用性。本研究使用头皮记录的11名TLE患者的20例癫痫发作的EEG数据。对于每个4 s加窗的EEG信号，计算同一组频带中的频谱和小波能量。在这14种措施中，电发作时3-6 Hz和6-12 Hz的频带频谱和小波能量分别增加了记录的癫痫发作的60％和90％。 1-3 Hz频段的频谱和小波能量增加了所记录癫痫发作的40％。这项研究确定了相同频带中频谱能量和小波能量之间的相关性。因此，简单而有效的光谱能量测量被选作自动癫痫发作检测系统设计的重要特征。

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