Analysis of the electromyogram of rapid eye movement sleep using wavelet techniques

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 2659-2662

  Shokrollahi, Mehrnaz ^a   Krishnan, Sridhar ^a   Jewell, Dana ^b   Murray, Brian ^b  

^a RYERSON UNIVERSITY   (Canada)

^b SUNNYBROOK RESEARCH INSTITUTE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; DISCRIMINANT ANALYSIS; ELECTROMYOGRAPHY; EYE MOVEMENTS; IMAGE RETRIEVAL; SPECTRUM ANALYSIS; WAVELET ANALYSIS;

CLASSIFICATION ACCURACY; ELECTROMYOGRAPHIC SIGNAL; FEATURE REPRESENTATION; FREQUENCY ANALYSIS; FREQUENCY DOMAINS; LINEAR DISCRIMINANT ANALYSIS; RAPID EYE MOVEMENT; WAVELET TECHNIQUES;

FREQUENCY DOMAIN ANALYSIS;

EID: 77951007899     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5332867     Document Type: Conference Paper

References (16)

1. S. H. Carlos, M. W. Mahowald. "REM Sleep Behavior Disorder: Clinical, Developmental, and Neuroscience Perspectives 16 Years After its Formal Identification in Sleep." Sleep 25(2002) 120-138
2. B. F. Boeve , M. H. Silber, and T. J. Ferman "REM Sleep Behavior Disorder in Parkinson's Disease and Dementia with Lewy Bodies". J. of Geriatric Psychiatry and Neurology 17th ,146(2004) 146-157
3. Rechetschaffen and A. Kales, "A manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages in Human Subject". Washington, DC:US Gov Printing Office (1968)
4. C. M. Pan , P. Sas, and V. H. Brussel. "Time Frequency and Time scale Analysis. Nonstationary time-frequency analysis for machine condition monitoring". Proc. of IEEE International Symposium.
5. Zhao, Chengyong, Minfeng He, and X. Zhao. "Power System Technology. Analysis of Transient waveform based on combined short time fourier transform and wavelet transform". Proc. of PowerCon. ( 2) 1122-1126
6. M.O. Diab, C. Marque, M. Khalili, "An Unsupervised classification method of uterine Electromuography signals using Wavelet Decomposition", Proceeding of the 26th Annual International Conf of the IEEE EMBS, USA, Sep 2004.
7. W. Yuhong, R. Zhen, L. Qunzhan. "Wavelets Selection for Commutation Failure Detection in HVDC System" IEEE TENCON 06
8. R. N. Leao, J. A. Burne. "Continuous wavelet transform in the evaluation of stretch reflex responses from surface EMG",Journal of Neuroscience Methods, 133 (2004) 115-125.
9. D. K. Kumar, N. D. Pah, and A. Bradley. "Wavelet Analysis of Surface Electromyography to determine Muscle Fatigue" IEEE Trans On Neural Systems and Rehabilitation Engineering, 11 (2003), 4
10. A.L. Graps. "An Introduction to wavelets". IEEE Computational Science and Engineering, 2(2):50-61, 1995
11. L. Brechet, F. M. Lucas, C. Doncarli, and D. Farina. "Compression of Biomedical Signals with Mother Wavelet Optimization and Best Basis Wavelet Packet Selection." IEEE Transactions on Biomedical Engineering 54: 2186-2192
12. N. Takeuchi, N Uchimura, Y Hashizume. "Parasomnia Melatonin therapy for REM sleep behavior disorder" Psychiatry and Clinical Neuroscience (2001), 55, 267-269
13. B. Frauscher, A Iranzo, B Hogl, "Quantification of electromyographic activity during REM sleep in multiple muscles in REM sleep behavior disorder." Sleep. May 2008; 31 (5):724-731
14. G. Borreguero, AB Caminero, De L. Llave, "Decreased phasic EMG activity during rapid eye movement sleep in treatment-naïve Parkinson's disease: effects of treatment with levodopa and progression of illness." Movement Disorder Sep 2002; 17(5):934-941
15. Jeiping, Ye, and L. Qi. "A two Stage linear discriminant analysis via QR decomposition." Pattern Analysis and Machine Intelligence IEEE Transaction. 27 (2005): 929-941
16. SPSS Inc., "SPSS Advanced Statistics User's Guide", Chicago, IL 90