Jul 2026· Signal Processing and Communications Applications Conference· pp. 1-4· 0 citations· 16 references
Abstract
Heart rate variability (HRV) analysis commonly uses power spectral density (PSD) estimation and related band-based metrics, such as LF, HF, and LF/HF. However, the reliability of these metrics may change depending on data quality, recording duration, and the selected estimation method. In this study, the effects of ECG artifacts and recording duration on HRV spectral analysis were examined. R–R intervals obtained from synthetic ECG signals were used to compare different PSD methods. Performance analysis was also carried out under artifact conditions using multiple realizations. The results show that artifacts can affect R-peak detection and disturb the time structure of R–R intervals. They can also cause spectral distortions and deviations in LF/HF metrics. In addition, PSD results may change even in the reference condition depending on the method and duration, especially in short recordings. Therefore, data quality, recording duration, and method selection should be considered together for reliable HRV analysis.
Heart rate variability (HRV) is a useful non-invasive tool for studying autonomic nervous system modulation under emotional stimulation; however, accurate estimation of dominant frequencies in HRV signals remains challenging due to their non-stationary nature and the sensitivity of some spectral methods to configuratio...
Perla Lizeth Garza-Barrón, A. Barrientos-García, C. Lastre-Domínguez et al.· Bioengineering· 0 citations
Heart rate variability (HRV) analysis is a commonly used method, not only for assessing cardiac health but also for detecting stress and emotional arousal. However, analyzing heart rate recordings from very short (less than 1 minute) dynamic scenarios presents challenges due to their short duration, measurement artifac...
D. Kuruczova, Filip Zlamal, Veronika Eclerová et al.· Physiological Measurement· 0 citations
HRV Studio, an open-source PyQt6-based desktop application integrating transparent HRV analysis with automated quality-control (QC) diagnostics, provides a transparent and reproducible platform for HRV research, with strong cross-platform consistency when NN sequences, preprocessing, and analytical conventions are harm...
Cyrus Mexon Evrard Djindot, Fa-Liang Liu, Sylvain Laborde et al.· 0 citations
INTRODUCTION
Heart Rate Variability (HRV) is the variation in Inter Beat Intervals (IBIs) of a heart signal and a measure of the cardiovascular system's flexibility to changes not expected from other factors. Traditional methods use electrocardiography (ECG) and polysomnography (PSG), which are invasive, costly, and un...
Yue Zhang, Yongbo Liang, Yan-Hua Guo· Archives of Physiology and B...· 0 citations
Compared with young healthy controls, the older and diabetic groups showed lower mean values for SDNN, RMSSD, NN50, pNN50, TINN, total power, SD1, and SD2.
Tarak Das, H. Chatterjee, Buddhadev Pradhan· Asian Journal of Advanced Re...· 0 citations
