Host: The Japanese Society for Artificial Intelligence
Name : The 36th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 36
Location : [in Japanese]
Date : June 14, 2022 - June 17, 2022
Heart rate variability (HRV) is an indicator of changes in the interval between continuous R waves (R-R interval; RRI) on the electrocardiogram (ECG) caused by autonomic nervous system activity. Measurement of the RRI is useful for detecting diseases related to autonomic nervous system activity and for predicting seizures. This study aimed to improve a heart rate measurement system that combines a highly accurate, compact, and inexpensive patch-type R-R interval telemeter and a smartphone application that automatically selects a suitable measurement position for non-experts. To evaluate the measurement accuracy, RRIs of 10 healthy male and 10 healthy female subjects in four postures (supine, sitting, standing, and walking (3 km/h)) were measured simultaneously using the system and a reference ECG measurement system, and the results were compared. R-wave detection rate and Bland-Altman analysis analyzed the measurement accuracy of this system. The accuracy showed the measurement accuracy was sufficient for HRV analysis.
