AYYOOB JAFARI, BITA MINAEE ISLAMIC AZAD
[1] D. Gucuyener, N. Uzuner, S. Ozkan, O. Ozdemir, G.Ozdemir, Micro embolic signals in patients with cerebralischaemic events. Neurology India, 49, September 2001. [2] J. M. Girault, F. Ossant, A. Ouahabi, D. Kouame,F. Patat, Time-varying autoregressive spectralestimation for ultrasound attenuation in tissuecharacterization, IEEE Transaction on Ultrasonics,Ferroelectrics and Frequency Control, vol. 45, No. 3,May 1998. [3] S.A. Marvasti, The development of prototypeWavelet based embolic signal detection application,MSc. Thesis, Imperial College, 2002 [4] N. Aydin, F. Marvasti, H.S. Markus, EmbolicDoppler Ultrasound Signal Detection Using DiscreteWavelet Transform, IEEE TRANSACTIONS ONINFORMATION TECHNOLOGY IN BIOMEDICINE,VOL. 8, NO. 2, JUNE 2004 [5] E.D. Ubeyli, I. Guler. Comparison of eigenvectormethods with classical and model-based methods inanalysis of internal carotid arterial Doppler signals,Computers in Biology and Medicine, vol 33, pp.473-493, 2003 [6] Guhr, S. Blaser, T. Hofmann, K. Lutze, G.Goertler, M. Comparison of platelet function analysis;platelet aggregation tests and microembolus detectionby transcranial doppler ultrasound in identification ofasa- nonresponder, 7th ESNCH, Poster 106, 1999. [7] Marvasti, S.A. Ghandi, M. Deb, A. Markus, H.Gillies, D. Improved Detection of Embolic signals usingmultiscale wavelet filtering, AR and ANN ,for TCDUltrasound”, Medical Applications of SignalProcessing, The 3rd IEE International Seminar on , pp59 – 64, 2005. [8] Ringlestein, E.B. Droste, D.W. Babikian, V.L.Evans, D.H. Grosset, D.G. Kaps, M. Markus, H.S.Russell, D. Siebler. M. Consensus on microembolusdetection by TCD, International Consensus Group onMicroembolus Detection:.Stroke. 1998;29:725–729. [9] S. Marvasti, D. Gunes, H.S. Markus, Intelligentwavelet filtering of Embolic Signals from TCDUltrasound. Signals, Systems and Computers, 2004.Conference Record of the Thirty-Eighth AsilomarConference on, Vol.2 , pp 1580 – 1584, 2004. [10] J. M. Girault, F . Ossant, A. Ouahabi, D. Kouame,F. Patat, Time-varying autoregressive spectral estimationfor ultrasound attenuation in tissue characterization, IEEETransaction on Ultrasonics, Ferroelectrics andFrequency Control, vol. 45, No. 3, May 1998. [11] S.K. Kopparapu, M. Laxminarayana, Choice ofMel filter bank in computing MFCC of a resampledspeech, Information Sciences Signal Processing andtheir Applications (ISSPA), 2010 10th InternationalConference on, Page 121, 2010. [12] B.B. Jovanovic, I.S. Reljin, B.D. Reljin, ModifiedANFIS architecture - improving efficiency of ANFIStechnique, Neural Network Applications in ElectricalEngineering, 2004. NEUREL 2004. 2004 7th Seminaron , Pages 215, 2004. [13] K.S. Tang, , K.F. Man, S. Kwong, Q. He,Genetic Algorithms and their applications, IEEESIGNAL PROCESSING MAGAZINE, November 1996
Important Links:
Go Back
