Neural system damage related feature extraction from SSEP data using fuzzy logic
Publish place: 8th basic and clinical neuroscience congress
Publish Year: 1398
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
NSCMED08_582
تاریخ نمایه سازی: 15 دی 1398
Abstract:
Precise monitoring of the nervous system during corrective scoliosis surgeries has been a perpetual major concern, with possible spinal nerve injury representing a major source of concern for surgical teams. Online monitoring of the nervous-physiological system using an intelligent system can diminish such concerns to a considerable degree. Diagnosis of various vertebral anomaly types and vertebral damage, which is arguably possible through somatosensory evoked potentials (SSEPs), constitutes the main topic of the present research. Designing such signal processing systems can prove beneficial for specialists, helping them provide accurate diagnoses and perform successful operations.
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Authors
Melisa Esmaeili
MS, Department of Cognitive Science, Institute for Cognitive Science Studies, Tehran, Iran
Sajed Dastan
MD, Department of Neurosurgery, Kilinikum Ingolstadt, Ludwing – Maximilians – University (LMU), Munich, Germany