Jointly delivered by UNC’s School of Medicine and the UNC Charlotte College of Health & Human Services, this online-plus-clinical BS propels registered technologists and aspiring clinicians into advanced neurophysiology. Students interpret EEG, evoked-potential, and polysomnography data while rotating through UNC Hospitals’ Level-I Epilepsy Monitoring Unit and AASM-accredited Sleep Disorders Center. Coursework integrates machine learning for seizure prediction, ethics of wearable neurotech, and interprofessional collaboration with neurology, pulmonary, and psychiatry teams.
Deep-learning model classifying sleep stages from raw PSG data
Clinical protocol reducing electrode-application time in EMU
VR training module for new technologists on seizure-safety procedures
Dashboard tracking CPAP adherence with motivational nudges
Grant proposal for mobile EEG units in rural neurological care
Meta-analysis of melatonin efficacy in pediatric insomnia
Study correlating blue-light exposure and REM latency among students
Open-source library cleaning EEG artifacts via wavelet transforms
White paper on data-privacy regulations for home sleep devices
Infographic campaign teaching sleep hygiene in campus dorms
Pilot trial using acoustic stimulation to enhance slow-wave sleep
Workflow redesign minimizing turnaround on epilepsy surgical reports
Podcast interviewing patients on living with narcolepsy
Quality-control audit of electrode reusability and infection risk
Outreach program screening truck drivers for sleep apnea
Research poster on racial disparities in insomnia diagnosis
Advance brain-monitoring expertise and shape the future of sleep health technology.
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