Browsing by Subject "Electroencephalography"
Now showing items 1-10 of 10
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Connection Between Alpha Subbands and Self-Reported Overall Health Outcomes
(East Carolina University, 2019-05-01)Background: Over the course of the past century, the average life span in the US has increased by approximately three decades (Kindig, Nobles, & Zidan, 2018). Part of this success is due to the ability to detect diseases, ... -
ELECTROENCEPHALOGRAPHY (EEG) AND ITS USE IN MOTOR LEARNING AND CONTROL
(East Carolina University, 2017-07-18)Electroencephalography (EEG) is a non-invasive technique of measuring electric currents generated from active brain regions and is a useful tool for researchers interested in motor control. The study of motor learning and ... -
EXPLORING THE EFFECTS OF OFFLINE PARADIGMS AND FEATURE EXTRACTION TECHNIQUES ON PERFORMANCE OF MOTOR IMAGERY BASED BRAIN-COMPUTER INTERFACE
(East Carolina University, 2021-07-15)Motor Imagery (MI) Brain-Computer Interface (BCI) has become a popular way of allowing disabled and healthy individuals to use brain signals to communicate with their environment. However, despite its potential, MI-based ... -
Functional Connectivity Analysis of Visually Evoked ERPs for Mild Cognitive Impairment
(East Carolina University, 2022-04-28)Mild cognitive impairment (MCI) is considered as the early stage of Alzheimer's disease, characterized as mild memory loss. Using electroencephalogram (EEG) data, a novel method of functional connectivity (FC) analysis can ... -
IMPROVING THE SPEED AND ACCURACY OF THE P300 AUTOMATIC SPELLING SYSTEM THROUGH FACIAL RECOGNITION
(East Carolina University, 2022-07-21)Locked-in syndrome is a condition where an individual does not have control of their muscles, including facial muscles and vocal cords which control speech. Instead of oral speech, sign language, or writing, other methods ... -
Investigating the Performance of the Visual Oddball Paradigm in the Context of Facial Recognition
(East Carolina University, 2021-06-03)The sequential visual oddball paradigm is a technique that is often used to elicit various components of cognitive event related potentials (ERPs). These components may serve as reliable biomarkers for neurodegenerative ... -
LOW RESOLUTION ELECTROMAGNETIC TOMOGRAPHY (LORETA) ANALYSIS OF THE BRAINS ELECTROPHYSIOLOGICAL RESPONSE TO EMOTIONAL VISUAL STIMULI UNDER DIFFERING CONDITIONS
(East Carolina University, 2016-07-21)Current methods of diagnosing and monitoring stress include: observing changes in the severity of existing symptoms, the development of new symptoms, hormone level tests, and stress self-assessment surveys. Self-assessment ... -
Neurophysiological and Personality Correlates of Sleep and Quality of Life
(East Carolina University, 2018-02-09)Background: Sleep is an important health factor across the lifespan. Poor sleep has been linked to significant negative health outcomes, including an increased risk for chronic diseases, such as hypertension, diabetes, ... -
PREDICTING TREATMENT ADHERENCE FROM ELECTROPHYSIOLOGICAL BIOMARKERS AND INDIVIDUAL DIFFERENCES IN BEHAVORIAL ACTIVATION (BAS) AND BEHAVIORAL INHIBITION (BIS) SYSTEMS
(East Carolina University, 2014)Obstructive sleep apnea (OSA) is a common chronic sleep disorder with a demanding and complex treatment regimen. Even though continuous positive airway pressure (CPAP) is a highly effective treatment for OSA, approximately ... -
Utilizing Brain Activity to Non-Invasively Predict Blood Glucose Levels
(East Carolina University, 2016-12-16)Diabetes Mellitus is a chronic condition that must be routinely self-monitored to prevent life threatening complications, diabetic coma, and to mitigate long-term complications, such as neuropathy and kidney failure. Despite ...