Validation of a novel wearable device to estimate heart rate variability and cardiorespiratory indexes

Abstract

Heart rate variability and cardiorespiratory coupling parameters show great potential in offering insights for the assessment and follow-up of patients with different conditions and diseases. The continual acquisition of these parameters would facilitate the ongoing evaluation of patients dealing with various health issues. In this work, we demonstrate the usability of a novel wearable device, the Digipredict Physiopatch, for estimating heart rate variability parameters in the frequency domain and a measure of cardiorespiratory coupling continuously. Signals recorded with the wearable and a Biopac benchtop system were utilized to calculate these parameters. We evaluate differences in the results obtained from the signals of the two devices. The results reveal three distinct aspects. Firstly, the values obtained with the Digipredict Physiopatch are, in general, not significantly different from the ones estimated with the Biopac system. Secondly, we illustrate that it is possible to estimate the cardiorespiratory index using the respiratory signals from the wearable, acquired through bioimpedance. This result validates the use of bioimpedance recorded with Digipredict Physiopatch as an alternative method for acquiring respiratory signals in wearable devices. Thirdly, the cardiorespiratory parameter evaluated in this work appears to be more robust to movement artifacts compared to the heart rate variability parameters due to the inclusion of respiratory information in the algorithms.