Analyzing the Correlation Between Sleep Duration and Heart Rate Variability Index Using ECG Big Data

The purpose of this research is to clarify the influence on the lives and health of older adults. The influence of sleep time on heart rate variability (HRV) in older adults was investigated using ECG and 3-axis acceleration data collected from the Allostatic State Mapping by Ambulatory ECG Repository (ALLSTAR) big database. The subjects are older adults (more than 65 y.o.), and the data was recorded from 2019 to March 2021. The number and mean age were 2019 (n=23547,76 ± 6 y.o.), 2020 (n=25402,76 ± 6 y.o.), and 2021 (6205,76 ± 6 y.o.). Lying rate (%) was calculated using 3-axis acceleration and grouped into subjects with long and short sleep time. HRV indices were calculated from 1-day ECG data. As a result, RRI increased (P<0.001) and the low frequency power of ULF, VLF, and LF significantly decreased or decreased trend in the long sleep time group than the short sleep time group. A decrease in LF/HF was also observed. It is suggested that long hours of sleep-in older adults who are less daily activity may decrease HRV.