A new approach for identifying sleep apnea syndrome using wavelet transform and neural networks

Biomedical Engineering - Applications, Basis and Communications

Volumn 18, Issue 3, 2006, Pages 138-143

  Lin, Robert ^a   Lee, Ren Guey ^b   Tseng, Chwan Lu ^b   Zhou, Heng Kuan ^c   Chao, Chih Feng ^a   Jiang, Joe Air ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^c LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

EEG; Sleep apnea syndrome; Wavelet transform

Indexed keywords

DIAGNOSIS; ELECTROENCEPHALOGRAPHY; NEURAL NETWORKS; SENSITIVITY ANALYSIS; WAVELET TRANSFORMS;

MULTI RESOLUTION WAVELET TRANSFORMS; SLEEP APNEA SYNDROME (SAS); WAVELET COEFFICIENT;

BIOMEDICAL ENGINEERING;

ALPHA RHYTHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BETA RHYTHM; CONTROLLED STUDY; DELTA RHYTHM; ELECTROENCEPHALOGRAPHY; HUMAN; RECOGNITION; SENSITIVITY AND SPECIFICITY; SIGNAL TRANSDUCTION; SLEEP APNEA SYNDROME; THETA RHYTHM; TRAINING;

EID: 33745928473     PISSN: 10162372     EISSN: None     Source Type: Journal    
DOI: 10.4015/S1016237206000233     Document Type: Article

References (7)

1. Takenao Sugi, Masatoshi Nakamura, Takahiro Shimokawa, Fusae Kawana: Automatic detection of EEG arousals by use of normalized parameters for different subjects. Biomedical Engineering. 2003; 146-147.
2. Dennis A, Silage: Spectral and coherence analysis applied to sleep apnea. Engineering in Medicine and Biology Magazine. 1990; 1: (9): 76-78.
3. Akin M, Arserim MA, Kiymik MK, Turkoglu I: A new approach for diagnosing epilepsy by using wavelet transform and neural networks. Proceedings of the 23rd Annual International Conference of the IEEE. 2001; 2: 25-28.
4. David NF Fairbanks, Samuel A Mickelson, and B Tucker Woodson: Snoring and Obstructive Sleep Apnea, Philadelphia: Lippincott Williams & Wilkins. 2003: 9-15.
5. D Novak, D Cuesta-Frau, and L. Lhotska: Speech recognition methods applied to biomedical signals processing. Engineering in Medicine and Biology Society. 2004; 1: 118-121.
6. Takamasa Shimada, Tsuyoshi Shiina, and Yoichi Saito: Detection of characteristic waves of sleep EEG by neural network analysis. Biomedical Engineering. 2000; 3(47): 369-379.
7. Takenao Sugi, Masatoshi Nakamura, Takahiro Shimokawa, and Fusae Kawana: Automatic detection of EEG arousals by use of normalized parameters for different subjects. Biomedical Engineering. 2003: 146-147.