Abstract :
Objective: To judge whether the pulse rate variability can be used as a surrogate of heart rate variability, as well as investigate the quantitative relationship between them. Methods: Being simultaneously acquired, the pulse wave and ECG data were denoised, removed baseline drift. Then the pulse rate intervals and heart rate intervals were extracted. Finally, the relationship between the heart rate variability and pulse rate variability were studied in the time domain, frequency domain, and nonlinear analysis. Conclusion: By studying the pulse rate variabilities and heart rate variabilities of 30 healthy adolescents, we find that heart rate variability and pulse rate variability is correlated, but the difference is relatively small, in a resting condition, the difference of time domain is less than 3%, the Frequency domain is less than 9%, the nonlinear is less than 9%, which in a certain extent can replace each other. Furthermore, the influence from the neural regulation and respiration caused the delay of PRV in comparison with HRV, ranging from 6% to 20% of a heartbeat period. The breathing more greatly influences the PRV than HRV.
Keywords :
electrocardiography; feature extraction; frequency-domain analysis; medical signal processing; pneumodynamics; signal denoising; time-domain analysis; ECG data denoising; HRV; PRV delay; baseline drift removal; breathing; feasibility analysis; frequency domain analysis; heart rate interval extraction; heart rate variability; heartbeat period; neural regulation; nonlinear analysis; pulse rate interval extraction; pulse rate variability; pulse wave; quantitative relationship; respiration; resting condition; time domain analysis; Electrocardiography; Fluctuations; Frequency-domain analysis; Heart rate variability; Physiology; Time-domain analysis;