• Project Title: A Quantitative Metric of Sleep Quality and Correlation with Stress/Heart Rate

  • BASIS Advisor: Dr. Brown

  • Internship Location: Kaiser Permanente San Jose Medical Center

  • Onsite Mentor: Dr. Anil Rama

Sleep deprivation is a prevalent issue that affects people of all ages, including students and their ability to perform in the classroom (Dewald et al.). An analysis of different components of sleep, including heart rate changes at night, and time in various sleep stages (light, deep, REM) can help to understand and find a reliable metric for studying sleep quality. For heart rate in particular, arrhythmias, clots, and high blood pressure can all lead to cardiac arrest during sleep without waking up the person (Medic et al.). However, there is a limited understanding of the heart’s functionality during sleep and how to predict these conditions. Any drastic fluctuations, such as drops and rises in heart rate, could be indicators. I will use surveys adapted from the ISMA (International Stress Management Association) and the PSQI (Pittsburgh Sleep Quality Index). I will measure heart rate and time spent in different stages of sleep using a Fitbit, which my participants will wear at night. I plan to determine heart rate changes during sleep and implement data analysis to understand the Fitbit data. My participants will then be given the questionnaires above which will be quantitatively scored, and I hypothesize that these scores will help to gain an understanding of sleep quality. By making this correlation, I can not only highlight the importance of keeping tabs with one’s sleep data, but also encourage changes in lifestyle in individuals with high stress to improve their health.