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Zbornik radova, Elektrotehnički institut "Nikola Tesla"
2013, br. 23, str. 199-208
jezik rada: srpski
vrsta rada: izvorni naučni članak
doi:10.5937/zeint23-4647


Analiza mogućnosti formiranja kriterijuma za rano dijagnostifikovanje Parkinsonove bolesti na bazi karakteristika regrutne krive
aUniverzitet u Beogradu, Elektrotehnički institut 'Nikola Tesla', Beograd
bKlinički centar Srbije, Klinika za neurologiju, Beograd

e-adresa: elmarkoni@ieent.org, aleksandra_kacar@yahoo.com

Projekat

Povećanje energetske efikasnosti HE i TE EPS-a razvojem tehnologije i uređaja energetske elektronike za regulaciju i automatizaciju (MPNTR - 33020)

Sažetak

U radu je analizirana mogućnost korišćenja karakteristika regrutne krive kao kriterijuma za rano dijagnostifikovanje Parkinsonove bolesti. U radu su analizirana dva metoda za analizu krive regrutacije (ulazno-izlazne krive, ili UI krive) i dijagnostifikovanje Parkinsonove bolesti. Prvi metod je baziran na analizi pojačanja, a drugi na izračunavanju Calisove entropije UI krive koji je baziran na osnovnim konceptima iz kvantne mehanike.

Ključne reči

Parkinsonova bolest; kriva regrutacije; Calisova entropija; transkranijalna magnetna stimulacija

Reference

Carroll, T.J., Riek, S., Carson, R.G. (2001) Reliability of the input-output properties of the cortico-spinal pathway obtained from transcranial magnetic and electrical stimulation. J Neurosci Methods, 112(2): 193-202
Devanne, H., Lavoie, B.A., Capaday, C. (1997) Input-output properties and gain changes in the human corticospinal pathway. Experimental Brain Research, 114(2): 329-338
Fahn, S., Elton, R.I. (1987) Members of the UPDRS development committee. Unified Parkinson's Disease Rating Scale. u: Fahn S.; Marsden C.D.; Goldstein M.; Calne D.B. [ur.] Recent developments in Parkinson's disease, Florham Park, NJ: Macmillan Health Care Information, 153-163
Hoehn, M.M., Yahr, M.D. (1967) Parkinsonism: onset, progression and mortality. Neurology, 17(5): 427-42
Jankovic, M., Rubens, N. (2009) A new probabilistic approach to on-line learning in artificial neural networks. u: ASMCSS'09, Greece, 226-231
Pascual-Leone, A., Davey, N.J., Rothwell, J., Wassermann, E.M., Puri, B.K. (2002) Handbook of Transcranial Magnetic Stimulation. UK: Arnold
Ridding, M.C., Rothwell, J.C. (1999) Afferent input and cortical organisation: a study with magnetic stimulation. Exp Brain Res, 126(4): 536-44
Valls-Sole, J., Pascual-Leone, A., Brasil-Neto, J.P., Cammarota, A., Mcshane, L., Hallett, M. (1994) Abnormal facilitation of the response to transcranial magnetic stimulation in patients with Parkinson's disease. Neurology, 44: 735-741
Ward, C.D., Gibb, W.R. (1990) Research diagnostic criteria for Parkinson's disease. Advanced Neurology, 53: 245-249
Warmuth, M.K., Kuzmin, D. (2010) Bayesian generalized probability calculus for density matrices. Machine Learning, 78: 63-101
Wolf, L. (2006) Learning using the Born rule. Technical report MIT-CSAIL-TR-2006-036