Neural system damage related feature extraction from SSEP data using fuzzy logic
عنوان مقاله: Neural system damage related feature extraction from SSEP data using fuzzy logic
شناسه ملی مقاله: NSCMED08_582
منتشر شده در هشتمین کنگره علوم اعصاب و پایه و بالینی در سال 1398
شناسه ملی مقاله: NSCMED08_582
منتشر شده در هشتمین کنگره علوم اعصاب و پایه و بالینی در سال 1398
مشخصات نویسندگان مقاله:
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
خلاصه مقاله:
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
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.
کلمات کلیدی: The nervous system, somatosensory evoked potentials (SSEP), clustering
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/976996/