Abstract
Basal Ganglia (BG) are functional areas within human brain that are target for various deep brain stimulation (DBS) surgeries. During DBS surgery a permanent stimulating electrode is placed within selected part of the BG. One of the methods of localization of the selected part of the BG is based upon analysis of recordings obtained from BG using thin neurosurgical microelectrodes. This paper shows method for obtaining the minimal frequency ranges required for detection of the STN (\(Subthalamic\;Nucleus\)) area of the BG as well as frequencies that can be used for detection of another BG area denoted as SNr (\(Substantia\;Nigra\;pars\;reticulata\)). The recorded signal is analyzed in separate 100 Hz bands to find a subset of them that provides good basis for classification of recordings. It is shown that already a continuous block of five such bands is sufficient to discriminate STN recordings with both sensitivity and specificity above 0.92. It is also shown that results obtained from some of those bands, show distinct differences between signals obtained from STN and SNr.
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Ciecierski, K.A. (2019). Narrow Band-Based Detection of Basal Ganglia Subterritories. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_13
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DOI: https://doi.org/10.1007/978-3-030-20915-5_13
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