Autoregressive and cepstral analysis of electromyogram in rapid movement sleep

IFMBE Proceedings

Volumn 25, Issue 4, 2009, Pages 1580-1583

  Shokrollahi, Mehrnaz ^a   Krishnan, S ^a   Jewell, D ^b   Murray, B ^b  

^a RYERSON UNIVERSITY   (Canada)

^b SUNNYBROOK RESEARCH INSTITUTE   (Canada)

Author keywords

Autoregressive modeling; Cepstral analysis; EMG; Linear discriminant analysis; Rapid eye movement behavior disorder; Sleep

Indexed keywords

BIOINFORMATICS; BIOMECHANICS; BIOMEDICAL ENGINEERING; BIOPHYSICS; DISCRIMINANT ANALYSIS; EYE MOVEMENTS; MEDICAL IMAGE PROCESSING; MEDICAL PHYSICS; SLEEP RESEARCH; SPECTRUM ANALYSIS;

AUTO REGRESSIVE MODELS; CEPSTRAL ANALYSIS; LINEAR DISCRIMINANT ANALYSIS; RAPID EYE MOVEMENT; SLEEP;

FREQUENCY DOMAIN ANALYSIS;

EID: 77950132258     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-03882-2_419     Document Type: Conference Paper

References (13)

1. Schenck, Carlos H., and Mark W. Mahowald. (2002) REM SleepBehavior Disorder: Clinical, Developmental, and Neuroscience Perspectives16 Years After its Formal Identification in Sleep." Sleep 25 120-38
2. Bradley F. Boeve , Michael H. Silber, and Tanis J. Ferman (2004). REM Sleep Behavior Disorder in Parkinson's Disease and Dementia with Lewy Bodies. Journal of Geriatric Psychiatry and Neurology 17th ser. 146 : 146-57.
3. Contantios S. Pattichis, Andreas G. Elia. (1999), Autoregressive and Cepstral Analysis of motor unit action potentials. Medical Engineering and Physics 21, 405-419
4. Hefftner, Gisela, Walter Zucchini, and George G. Jaros. (1988) The Electromyogram (EMG) as a Control Signal for Functional Neuromuscular Stimulation-Part I: Autoregressive Modeling as a Means of EMG Signature Discrimination." IEEE TRANSACTION ON BIOMEDICAL ENGINEERING 4th ser. 35: 230-37.
5. Wen-Juh Kang, Jiue Shiu, Cheng-Kung Cheng, Jin-Shin Lai, Hen-Wei Tsao and Te-Son Kuo, (1993), Cepstral Coefficients as the new features for Electromyography pattern recognition, IEEE. Transaction. Biomedical Engineering, vo1.36
6. Rechetschaffen and A. Kales (1968), A manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages in Human Subject. Washington, DC:US Government Printing Office.
7. Z.M.K. Moussavi, R.M. Rangayan, G.D. Bell, C.B. Frank, K.O. Ladly, and Y.T. Zhang (1996). Screening of Vibroarthrographic signals via Adaptive Segmentation and Linear Predation Modeling IEEE Transactions on Biomedical Engineering , 43(1):15-23.
8. Pattichis, Constantinos S., and Andreas G. Elia (1999). Autoregressive and Cepstral Analysis of motor unit action potential. 405-419 21
9. Wen-Juh Kang, Jiue Shiu, Cheng-Kung Cheng, Jin-Shin Lai, Hen-Wei Tsao and Te-Son Kuo (1993), Cepstral Coefficients as the new features for Electromyography pattern recognition IEEE. Transaction. Biomedical Engineering, vo1.36
10. Atal BS (1976). Automatic Recognition of speakers from their voices, IEEE Proc 64:460-75
11. S. Atal (1974), Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification, J. Acoust. Soc. Amer., (55)6: 1304-1312
12. A.H. gary and J.D.Markel (1976), Distance measure of speech processing IEEE Trans, Acous., Speech, Signal Processing, (24) 380-391
13. Kang W, Shiu JR, Chen CK, Lai JS, tsao HW, Kuo TS (1997). The application of cepstral coefficients and maximum likelihood method in EMG pattern recognition IEEE Trans Biomedical Engineering 42(8):777-85