A Fuzzy System to Analyze SIVD Diseases Using the Transcranial Magnetic Stimulation

Authors: A. Faro, D. Giordano, M. Pennisi, G. Scarciofalo, C. Spampinato, F. Tramontana

Abstract:

The paper proposes a methodology to process the signals coming from the Transcranial Magnetic Stimulation (TMS) in order to identify the pathology and evaluate the therapy to treat the patients affected by demency diseases. In particular, a fuzzy model is developed to identify the demency of the patients affected by Subcortical Ischemic Vascular Dementia (SIVD) and to measure the effect of a repetitive TMS on their motor performances. A tool is also presented to support the mentioned analysis.

Keywords: TMS, EMG, fuzzy logic, transcranial magnetic stimulation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072545

References:

[1] A.T. Barker, R. Jalinous, and I.L. Freeston, "Noninvasive magnetic stimulation of human motor cortex", Lancet, I., pp. 1106-1107, 1985.
[2] H. Shimamoto, K. Takasaki, M. Shigemori, T. Imaizumi, M. Ayabe, and H.Shoji, "Therapeutic effect and mechanism of repetitive transcranial magnetic stimulation in Parkinson-s disease", J.Neurol., vol.248, pp.III48-III5, 2001.
[3] C.M. Epstein, "Applications of transcranial magnetic stimulation", In proceeding of the first Joint BMES/EMBS Conference Serving Humanity, Advancing Technology, Oct.13-16, Atlanta (USA), 1999.
[4] A. Pascual-Leone, N. J. Davey, J. Rothwell, E.M. Wassermann, B.K. Puri, "Handbook of transcranial magnetic stimulation", Oxford University, 2002.
[5] L. A. Zadeh, "Fuzzy Logic and the Calculi of Fuzzy Rules and Fuzzy Graphs", International Journal of Multiple- Valued Logic, 1, 1-39, 1996.
[6] H.-J. Zimmermann. Fuzzy Sets Theory and its Applications" Boston: Kluwer, 1991.