System to ECG Signals Variability Analysis: Heart Rate Variability and QT Interval Variability

2007 ◽  
pp. 1160-1163
Author(s):  
Daiana Petry ◽  
V. Palodeto ◽  
D. O. H. Suzuki ◽  
J. L. B. Marques
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Qt Interval ◽  
Ecg Signals ◽  
Variability Analysis ◽  
Qt Interval Variability

Decoupling of QT interval variability from heart rate variability with ageing

2013 ◽  
Vol 34 (11) ◽  
pp. 1435-1448 ◽  
Author(s):  
Mathias Baumert ◽  
Barbora Czippelova ◽  
Alberto Porta ◽  
Michal Javorka
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Qt Interval ◽  
Qt Interval Variability

Prognostic 2.0: software tool for heart rate variability analysis and QT interval dispersion

2007 ◽  
Author(s):  
Alfonso Mendoza ◽  
Oscar L. Rueda ◽  
Lola X. Bautista ◽  
Víctor E. Martinez ◽  
Eddie R. Lopez ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Qt Interval ◽  
Software Tool ◽  
Heart Rate Variability Analysis ◽  
Variability Analysis ◽  
Qt Interval Dispersion ◽  
Interval Dispersion

Three Different Bradycardic Agents, Zatebradine, Diltiazem and Propranolol, Distinctly Modify Heart Rate Variability and QT-Interval Variability

Pharmacology ◽  
2007 ◽  
Vol 80 (4) ◽  
pp. 293-303 ◽  
Author(s):  
Motoko Yamabe ◽  
Shamarendra N. Sanyal ◽  
Shinji Miyamoto ◽  
Tetsuo Hadama ◽  
Shojirou Isomoto ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Qt Interval ◽  
Qt Interval Variability

Recording of ECG signals on a portable MiniDisc recorder for time and frequency domain heart rate variability analysis

2005 ◽  
Vol 83 (5) ◽  
pp. 729-738 ◽  
Author(s):  
S NORMAN ◽  
R EAGER ◽  
N WARAN ◽  
L JEFFERY ◽  
R SCHROTER ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Frequency Domain ◽  
Heart Rate Variability Analysis ◽  
Ecg Signals ◽  
Variability Analysis

scholarly journals Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Elisa Mejía-Mejía ◽  
James M. May ◽  
Mohamed Elgendi ◽  
Panayiotis A. Kyriacou
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Pulse Rate ◽  
Pulse Transit Time ◽  
Pulse Rate Variability ◽  
Physiological Factors ◽  
Ecg Signals ◽  
Non Invasive ◽  
Electrocardiogram Ecg

AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.

scholarly journals Heart Rate Variability Analyses in Parkinson’s Disease: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 11 (8) ◽  
pp. 959
Author(s):  
Konstantin G. Heimrich ◽  
Thomas Lehmann ◽  
Peter Schlattmann ◽  
Tino Prell
Keyword(s):  
Parkinson’S Disease ◽  
Heart Rate ◽  
Parkinson's Disease ◽  
Heart Rate Variability ◽  
Meta Analysis ◽  
Cardiac Activity ◽  
Heart Rate Variability Analysis ◽  
Short Term ◽  
Variability Analysis ◽  
Parasympathetic Regulation

Recent evidence suggests that the vagus nerve and autonomic dysfunction play an important role in the pathogenesis of Parkinson’s disease. Using heart rate variability analysis, the autonomic modulation of cardiac activity can be investigated. This meta-analysis aims to assess if analysis of heart rate variability may indicate decreased parasympathetic tone in patients with Parkinson’s disease. The MEDLINE, EMBASE and Cochrane Central databases were searched on 31 December 2020. Studies were included if they: (1) were published in English, (2) analyzed idiopathic Parkinson’s disease and healthy adult controls, and (3) reported at least one frequency- or time-domain heart rate variability analysis parameter, which represents parasympathetic regulation. We included 47 studies with 2772 subjects. Random-effects meta-analyses revealed significantly decreased effect sizes in Parkinson patients for the high-frequency spectral component (HFms2) and the short-term measurement of the root mean square of successive normal-to-normal interval differences (RMSSD). However, heterogeneity was high, and there was evidence for publication bias regarding HFms2. There is some evidence that a more advanced disease leads to an impaired parasympathetic regulation. In conclusion, short-term measurement of RMSSD is a reliable parameter to assess parasympathetically impaired cardiac modulation in Parkinson patients. The measurement should be performed with a predefined respiratory rate.

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