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Achievement

Data collection methodologies for sleep assessment

Research Achievements

Data collection methodologies for sleep assessment

Over this past year IGERT Trainee Carolyn Parsey completed her Master's thesis project, which consisted off assessing three types of data collection methodologies for sleep assessment and comparing them to measures of everyday functioning in a smart environment. Participants were cognitively healthy older adults and results suggested that sleep patterns could not predict the performance of everyday activities. This manuscript is currently under review for publication in a peer-reviewed journal. Assessment of task performance in the smart environment was a multi-disciplinary project conducted by a team of students and faculty in Computer Science and Clinical Psychology. The Computer Science automated assessment of cognitive health and sleep assessment is a separate dissertation being pursued by Prafulla Dawadi and has resulted in two conference papers and three journal articles currently under review.
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