1Department of Research and Development (Digital Health), Acculi Labs Pvt. Ltd. Bangalore 560098, Karnataka India
Journal of Biomedical Engineering and Technology.
2021,
Vol. 9 No. 1, 1-9
DOI: 10.12691/jbet-9-1-1
Copyright © 2021 Science and Education PublishingCite this paper: Subhagata Chattopadhyay, Rupam Das. Comparing Heart Rate Variability with Polar H10 Sensor and Pulse Rate Variability with LYFAS: A Novel Study.
Journal of Biomedical Engineering and Technology. 2021; 9(1):1-9. doi: 10.12691/jbet-9-1-1.
Correspondence to: Subhagata Chattopadhyay, Department of Research and Development (Digital Health), Acculi Labs Pvt. Ltd. Bangalore 560098, Karnataka India. Email:
dr.subhagatac@acculi.comAbstract
Background: Heart Rate Variability (HRV) surrogates for Cardiac Autonomic Modulation (CAM), while Pulse Rate variability (PRV) reflects Cardiovascular Autonomic Modulation (CvAM). HRV and PRV therefore, are not exactly interchangeable terms. However, the paper proposes that PRV and HRV can be correlated. Aim: To compare the correlation between two different instruments – (I) gold-standard Polar H10 HRV sensor that works on the principle of CAM and Kubios software for HRV estimation, together called ‘PK’ and (II) Lyfas smartphone application called ‘L’, which estimates PRV that reflects the state of CvAM. Methods: Parameters, such as (i) HR, (ii) RMSSD, (iii) pNN50, (iv) SDNN, and (v) LF/HF are captured from a total of 567 healthy Indian adults (312 males and 255 females) using PK and L simultaneously. End HR data (120 sec) are then compared instrument and gender-wise statistically by computing the i) RMSE, ii) Regressions (L on PK), iii) a Two-sample t-test, and (iv) classification accuracy of L when compared to PK. Finally, the Sensitivity/recall (R), Specificity (S), Precision (P), Accuracy (A), F score (F), and Youden’s index (Y) are computed for L. Results: L shows encouraging averages for males and females respectively ‘R’ (84%, 70%), ‘S’ (95%, 87%), ‘A’ (82%, 79%), ‘P’ (87%, 69%),’F’ (1.4836, 1.3706) and ‘Y’ (79%, 81%) for HR, SDNN, RMSSD, and pNN50 respectively. Conclusions: Although ‘L’ has 1/33th times less resolution compared to PK, its technical efficacy, speed, user-friendliness, low-cost-benefit, high ‘Y’ values, and ubiquitousness pose a great advantage in its deployment in the clinical setup as a biomarker tool over PK.
Keywords