2018 Student Research Conference:
31st Annual Student Research Conference

The Case for a Limits of Agreement (LoA) Criterion for Ultra-Short-Term (UST) HRV Measurements 


Nicholas W. Gravett*, Hannah N. Urban, Jackie O. Pecoraro , Andrew C. Smith, and Hillary T. Hedgecock
Dr. Frederic Shaffer, Faculty Mentor

The majority of ultra-short-term (UST) heart rate variability (HRV) norm studies have utilized correlations to determine whether brief samples can approximate 5-min resting baseline measurements. The present study compared the two approaches with resting UST HRV time-domain, frequency-domain, and nonlinear measurements.  A Thought Technology ProComp™ Infiniti system monitored ECG and respiration. Subjects were stabilized for 5-min and then monitored for 7 min sitting upright, with eyes open, no feedback, and instructions to breathe normally. The investigators extracted 10-, 20-, 30-, 60-, 90-, 120-, 180-, and 240-s segments from 5-min resting ECG recordings of 38 healthy undergraduates ages 18 to 23. A comparison of Pearson Product-Moment Correlation (≥ 0.90) and a LoA analysis (allowable difference = ± 5% of the range) showed that these approaches agreed on the minimum sample required to estimate 5-min HR, SDNN, LF (nu and power), HF (nu and power), LF/HF, DFalpha2, DET, SD2, and ShanEn. 

Keywords: Heart Rate Variability , Respiration, Biofeedback, Psychophysiology, Statistics , Limits of agreement , ultra short term, measurements

Topic(s):Psychology
Biology
Statistics

Presentation Type: Poster

Session: 7-10
Location: GEO - SUB
Time: 3:30

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