腦波的特徵擷取用於自動睡眠分期

EEG Feature Extraction for Automatic Sleep Stages Scoring

唐維志(Wei-Chih Tang)

指導教授 ： 李秀惠

共同指導教授 ： 高成炎

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2007年)

https://doi.org/10.6342/NTU.2007.02048

摘要

無資料

關鍵字

睡眠分期 ； 腦波 ； 調和參數小波轉換

並列摘要

Polysomnography (PSG) is the must common procedures used for diagnosis of sleep states. One of important task of PSG is sleep stages scoring. Sleeping stage of each 30 second segment is determined by sleep specialist, and scoring stages manually consumes time and human resource. So many automatic sleep stages scoring system was developed.
In this thesis, we proposed a feature set to replace the must common features relative frequency band energy. Our feature set includes harmonic parameters with wavelet transform, Hjorht parameters, wavelet entropy, and wavelet energy. We build an automatic sleep stages scoring system using SVM with RBF kernel using the feature set we found.
The objective of this thesis is providing a better set of features form EEG signals. That can decrease the sensor numbers, and that may measure patients’ sleep state in their houses. The automatic sleep stages scoring model can help the sleep specialists save their time of scoring.

並列關鍵字

EEG ； harmonic parameters ； sleep stages ； wavelet transform

參考文獻

Estrada, E., H. Nazeran, P. Nava, K. Behbhani, J. Burk and E. Lucas, 2005 ”Itakura Distance: A Useful Similarity Measure between EEG and EOG Signals in Computer-aided Classification of Sleep Stages” In proc of the 27th Annual EMBS International Conference of IEEE EMBS, pp.1189–1192

Feng, Zhouyan and Hang Chen, 2005 “Analyze the Dynamic Features of Rat EEG Using Wavelet Entropy” In proc of the 27th Annual EMBS International Conference of IEEE EMBS, pp.833–836

Hayes, M. H., 1996 “Statistical Digital Signal Processing and Modeling“ Wiley, pp 194, 198–199, 440, 447.

Hjorth, B., 1970. EEG Analysis Based on Time Domain Properties. Electroencephalography and Clinical Neurophysiology, Volume 29, pp.306-310.

Huang, N. E., Z. Shen, S.R. Long, W.C. Wu, E.H. Shih, Q. Zheng, C.C. Tung and H.H. Liu, 1998 " The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis," in Proc of the Royal Society A454:903-995