Date of Award

5-2017

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Biomedical and Chemical Engineering and Sciences

First Advisor

Mehmet Kaya

Second Advisor

Meredith Carroll

Third Advisor

Ted Conway

Abstract

The development and analysis of heart rate variability for sleep quality monitoring have been concerned for many years in human being. Sleep is a physiological process that is essentially maintaining the function of human body. Heart rate variability have undergone much-needed development to assess the effects such as sleep disorder, insomnia, high blood pressure, stress and even diabetes. Accurately evaluating physiological signals that are practical to measure the sleep quality in individuals monitoring heart rate variability is an important activation of diverse biological systems during sleep. A noteworthy role of measuring the heart rate variability is played by the autonomic nervous system due to modulation of cardiovascular functions. A biomedical device of the BioRadio is a wearable wireless technology that widely be used in healthcare industry and need an appropriate software to always stay connected which access to data. Current technologies, such as sleep-tracking apps or sleep cycle alarm clock, are beneficial tools for self-diagnosis through by smartphones. Previously, the application combined heart rate variability detection and sleep quality diagnosis that the patients were treated from sleep to wake, also before bed. Additionally, a questionnaire of sleep quality has been provided for patients that add up scores to obtain sleep assessment. The total points will guide patients’ relationship with sleep. Hence a design has been proposed to monitoring heart rate variability and sleep-cycle app during bed time. After analyzing the recorded data, the preliminary outcomes did not showed the correlation with heart rate variability and sleep quality.

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