Abstract
During deep brain stimulation (DBS) treatment of Parkinson disease, the target of the surgery is the subthalamic nucleus (STN). As STN is small (9 x 7 x 4 mm) and poorly visible in CT or MRI, multi-electrode micro recording systems are used during DBS surgery for its better localization. This paper presents five different analytical methods, that can be used to construct an autonomic system assisting neurosurgeons in precise localization of the STN nucleus. Such system could be used during surgery in the environment of the operation theater. Signals recorded from the micro electrodes are taken as input in all five described methods. Their result in turn allows to tell which one from the recorded signals comes from the STN. First method utilizes root mean square of recorded signals. Second takes into account amplitude of the background noise present in the recorded signal. 3rd and 4th methods examine Low Frequency Background (LFB) and High Frequency Background (HFB). Finally, last one looks at correlation between recordings taken by different electrodes.
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Ciecierski, K., Raś, Z.W., Przybyszewski, A.W. (2012). Foundations of Recommender System for STN Localization during DBS Surgery in Parkinson’s Patients. In: Chen, L., Felfernig, A., Liu, J., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2012. Lecture Notes in Computer Science(), vol 7661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34624-8_28
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DOI: https://doi.org/10.1007/978-3-642-34624-8_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34623-1
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