MS, University of Cincinnati, 2017, Engineering and Applied Science: Mechanical Engineering
Neurological data is the principal feedback for clinicians treating comatose patients in the Neuro-Intensive Care Unit (NICU), making this data critical in determining treatment, and hence patient outcomes. If this data is misinterpreted, patients can endure varying degrees of long term cognitive disabilities, or death. Therefore, understanding the signals themselves, their relationships to patient outcomes, and developing heterogeneous models for patient-specific modeling has become a key area of interest.
This study has been conducted for 7 comatose patients, who have suffered traumatic brain injuries (TBI) and were treated in the University of Cincinnati's Neuro ICU Department. The primary signals of interest were 15 channels of cortical depth electroencephalogram (EEG) and intracranial pressure (ICP). Data was collected within 12 to 24 hours of injury and for 48 to 72 hours after, with intermittent gaps. The aim of this project was to investigate the existence of an EEG and ICP signal relationship, develop a biomedical data cleaning protocol for the inclusion of future signals and determine prominent ICP thresholds in relation to EEG variables. After extracting various EEG features such as energy in key sub bands, Hjorth parameters, wavelet features and time domain statistics, data was classified into different mean peak ICP threshold ranges. These feature data sets are then central to determining whether varying ICP changes can be quantified based on the cortical EEG recordings and whether a common data element can be identified for deeper understanding of these signal relationships. Long term, by realizing the complex causal relationships of neurological data, ICP may be assessed via surface EEG, eliminating the need to drill into the skull and its associated risks. Moreover, further neurophysiological brain mapping can create knowledge that can enable more informed decision-making in ICP-moderating intervention to reduce secondary brain injuries. The crit (open full item for complete abstract)
Committee: Jay Lee Ph.D. (Committee Chair); Brandon Foreman (Committee Member); Jay Kim Ph.D. (Committee Member)
Subjects: Mechanical Engineering