Week Two (Jason Chang)
This week, I focused on installing MATLAB onto my work computer
and getting clearance to observe OR procedures at WCMC
and the Hospital for Special Surgery (HSS). As far as clinical exposure this week, Carla, one of the stroke research coordinators, brought me with her to the emergency room on Monday after she was paged about
an incoming stroke patient. However, the patient turned out to be a
construction worker who had fallen and sustained several blunt force injuries,
which meant that the patient fell under the jurisdiction of trauma, not neurology. It was very interesting to see the high-pressure
and fast-paced environment that the emergency medicine clinicians work in. Additionally,
Dr. Prince gave a lecture on Monday on interpreting imaging results,
specifically with magnetic resonance imaging (MRI), computed tomography (CT),
and x-ray scans. During his lecture, Dr. Prince emphasized the importance of
always having multiple views for every scan to confirm any abnormalities in the
patient. His lecture included case studies with various pathological condition areas. Although he had to guide a lot of our answers, I learned a
lot and am now able to differentiate between these commonly used scanning
techniques.
On Tuesday, Dr. Mangat and I met to discuss more details
regarding my research project on patients who have suffered from subarachnoid hemorrhage (SAH) (Figure 1).
Figure
1. Subarachnoid hemorrhage caused by bleeding into the space
surrounding the brain [1]
SAH is a serious, life-threatening condition that occurs from
spontaneous bleeding often caused by a ruptured aneurysm or traumatic brain
injury (TBI). When blood accumulates in the subarachnoid space surrounding the
brain tissue, the patient is at risk of seizures, stroke, coma, losing
consciousness and/or alertness, and even death in extreme situations. The
long-term impact on a patient’s quality of life after SAH depends largely on early
diagnosis and treatment. Therefore, initial critical care management and
monitoring is crucial to the patient making a recovery.
Our research study in collaboration with Dr. Forgács focuses on analyzing EEG segments from SAH patients. The first step of my research project will be to remove physiologic
artifacts, such as eye movement (low frequency) or muscle activity (high frequency)
signals, present in continuous EEG signals collected from patients in the
study. This artifact removal process is typically done by having the clinician manually
identify and delete artifacts, but this manual cleaning process can be very
time-consuming and subjective. Additionally,
variability in clinical expertise can affect the results, so an automated
protocol in MATLAB would be more efficient. On Thursday, I met with Dr. Forgács
to get all the EEG data and discuss how to approach this first step of my
project. However, I soon realized that there was no all-encompassing solution since
each region of the brain would contain different degrees and types of
artifacts, so Dr. Forgács recommended that we start off by narrowing the scope of
the analysis.
In the meanwhile, I spent time reading about the syndrome of SAH, as well as familiarizing myself with MATLAB codes written by Dr. Forgács' lab members for the various types of analyses of EEG tracings.
Dr. Mangat and I will meet early next week to discuss my project in further detail. Next week, I plan to start going through patient EEG files and learn how to identify artifacts in each of the channels. I also hope to begin observing orthopaedic surgery procedures in WCMC and HSS, but I am still waiting on my clearance.
Dr. Mangat and I will meet early next week to discuss my project in further detail. Next week, I plan to start going through patient EEG files and learn how to identify artifacts in each of the channels. I also hope to begin observing orthopaedic surgery procedures in WCMC and HSS, but I am still waiting on my clearance.
References
[1]
https://s-media-cache-ak0.pinimg.com/736x/96/27/a3/9627a3d11d53248564e3ea3b68fdfb76--subarachnoid-hemorrhage-stroke-recovery.jpg
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