Physiological Signal Processing in Heart Rate Variability Measurement: A Focus on Spectral Analysis

2022/08/02 by Amin Gasmi, Gasmi, Amin
Engineering · Medicine · #ECG Monitoring and Analysis #FOS: Biological sciences #FOS: Electrical engineering #FOS: Mathematics #FOS: Physical sciences #Heart Rate Variability and Autonomic Control #Medical Physics (physics.med-ph) #Non-Invasive Vital Sign Monitoring #Signal Processing (eess.SP) #Spectral Theory (math.SP) #Tissues and Organs (q-bio.TO) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2208.02234

openalex publication_date 2022/08/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Fast Fourier Transform (FFT) relies on the HRV frequency-domain analysis techniques. It requires re-sampling of the inherently unevenly sampled heartbeat time-series (RR tachogram) to produce an evenly sampled time series of the heartbeat. However, re-sampling of the heartbeat time -- series is found to produce a substantial error when estimating an artificial RR tachogram.

Related

• Non-linear and scale-invariant analysis of the Heart Rate Variability
• Discrimination between Healthy and Sick Cardiac Autonomic Nervous System by Detrended Heart Rate Variability Analysis
• The RR interval spectrum, the ECG signal and aliasing
• Frequency Structure of Heart Rate Variability
• Nonstationary time series analysis of heart rate variability