Theses and Dissertations

Date of Award

12-2023

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematics

First Advisor

Josef Sifuentes

Second Advisor

Sergey Grigorian

Third Advisor

Cristina Villalobos

Abstract

As the number of individuals suffering with low back and neck pain rises, we find people undergoing spinal procedures more often. In means, of safeguarding the patient and their neurological structures during the procedure intraoperative neuro-physiological monitoring (I.O.M) has been more widely used amongst surgeons orthopedic and neuro alike. During these procedures, a modality widely used for both low back and neck surgery is somatosensory evoked potentials (SSEPs). The aim of neuro-technicians is to obtain a baseline waveform that can be considered present and reliable. When obtaining SSEPs the technician can encounter obstacles with ’noisy’ wave-forms due to signal interference which may be from physiological sources, as well as environmental (technical) sources. The primary purpose of this paper is to provide a mathematical SSEP model through observation of the cable equation, and an algorithm for recovering a noisy SSEP signal through fast fourier transform (FFT), modal thresholding, and the application of bandpass filters (BPFs) to obtain a baseline. This baseline is crucial to present a reliable waveform.

Comments

Copyright 2023 Maribel Carmen Gomez. All Rights Reserved.

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