2015 Student Research Conference:
28th Annual Student Research Conference

The Nonlinear Index SD1 Predicts Diastolic Blood Pressure and HRV Time and Frequency Domain Measurements in Healthy Undergraduates
Christopher L. Zerr*, Jack Schoelz, Taylor K. Watson, and Emmy Emanuel
Dr. Frederic Shaffer, Faculty Mentor

The present study explored the predictive relationship between the nonlinear index SD1, diastolic and systolic blood pressure, and seven heart rate variability (HRV) time measurements in undergraduates. SD1 is the standard deviation of the distance of each point from the y = x axis of a Poincar plot. SD1 measures short-term HRV in milliseconds, which makes it appropriate for brief measurement periods. Undergraduates (n=29) were stabilized for 5 minutes and then monitored for 5 minutes sitting upright, with eyes open, no feedback, and instructions to breathe normally. While SD1 was unrelated to systolic blood pressure, it predicted diastolic blood pressure, F(1,27)=6.77, p=0.015, η2=0.20. SD1 predicted seven HRV measures: HR Max HR Min, RMSSD, pNN50, SDNN, low-frequency power, high-frequency power, and total power. Based on these findings, clinicians should consider utilizing SD1 to assess clients who resemble our healthy undergraduates. Future researchers should replicate these findings with a clinical population.

Keywords: blood pressure, heart rate variability, non-linear measurements, SD1


Presentation Type: Poster

Session: 10-8
Location: GEO-SUB
Time: 3:30

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