Multiple feature domains information fusion for computer-aided clinical electromyography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3691 LNCS, Issue , 2005, Pages 304-312

  Xie, Hongbo ^a,b   Huang, Hai ^b   Wang, Zhizhong ^b  

^a HUAIYIN INSTITUTE OF TECHNOLOGY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED ANALYSIS; DECISION SUPPORT SYSTEMS; INFORMATION ANALYSIS; NEURAL NETWORKS;

CLINICAL ELECTROMYOGRAPHY; FREQUENCY PARAMETERS; FUZZY INTEGRAL METHOD; INFORMATION FUSION;

ELECTROMYOGRAPHY;

EID: 33646146490     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11556121_38     Document Type: Conference Paper

References (11)

1. Stalberg, E., Nandedkar, S.D., Sanders, D.B.: Quantitative Motor unit potential analysis. Clinical Neurophysiology. 13(1996) 401-422
2. Andreassen, S., Andreassen, S.K., Jensen, F. V.: MUNIN - An expert system for EMG Electroence Clinical Neurophysiol. 66(1987) S4
3. Coatrieux, J.L., Toulouse, P., Rouvrais, B: Automatic classification of electromyographic Signals. Electroence Clin Neurophysiol. 55(1983) 333-341
4. Pattichis, C. S., Elia, A.C.: Autoregressive and cepstral analyses of motor unit action potentials. Med Eng Physi. 21(1999) 405-419
5. Shipp, C.A., Kuncheva, L.I.: Relationships between combination methods and measures of diversity in combining classifiers. Information Fusion. 3(2002) 135-148
6. Sugeno, M.: Fuzzy measures and fuzzy integrals: a survey. Fuzzy Automata and Decision Processes. Amsterdam. North Holland. (1977)
7. He, Y.Y., Chu, F.L., Zhong, B.L.: A study on group decision-make based fault multisymptom- domain consensus diagnosis. Reliability Engineering & System Safety. 74(2001)43-52
8. Stalberg, E., Andreassen, S., Falck, B.: Quantitative analysis of individual motor unit potentials: A proposition for standardized terminology and criteria for measurement. Clinl Neurophysiol. 3(1986) 313-348
9. Cioffi, J.M., Kailath, T.: Fast recursive least-squares traversal filters for adaptive filtering. IEEE Trans Acoust Speech Sig Process. 32(1984) 304-337
10. Lindsotrm, L., Petersen, I.: Power spectrum analysis of EMG signals and its application. In Desmedt, J.E., eds.: Computer-Aided Electromyography Prog Clin Neurophysiol. Basel, Karger. 10(1983) 1-51
11. Breiman, L.: Bagging predictors. Machine Learning. 24(1996): 123-140