scholarly journals Linear and Nonlinear Heart Rate Variability Indexes in Clinical Practice

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Buccelletti Francesco ◽  
Bocci Maria Grazia ◽  
Gilardi Emanuele ◽  
Fiore Valentina ◽  
Calcinaro Sara ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Clinical Practice ◽  
Control Systems ◽  
Life Threatening ◽  
Linear And Nonlinear ◽  
External Stimuli ◽  
Pathologic State ◽  
Real Patients ◽  
Biological Organisms

Biological organisms have intrinsic control systems that act in response to internal and external stimuli maintaining homeostasis. Human heart rate is not regular and varies in time and such variability, also known as heart rate variability (HRV), is not random. HRV depends upon organism's physiologic and/or pathologic state. Physicians are always interested in predicting patient's risk of developing major and life-threatening complications. Understanding biological signals behavior helps to characterize patient's state and might represent a step toward a better care. The main advantage of signals such as HRV indexes is that it can be calculated in real time in noninvasive manner, while all current biomarkers used in clinical practice are discrete and imply blood sample analysis. In this paper HRV linear and nonlinear indexes are reviewed and data from real patients are provided to show how these indexes might be used in clinical practice.

Time-Variant, Frequency-Selective, Linear and Nonlinear Analysis of Heart Rate Variability in Children With Temporal Lobe Epilepsy

2014 ◽  
Vol 61 (6) ◽  
pp. 1798-1808 ◽  
Author(s):  
Karin Schiecke ◽  
Matthias Wacker ◽  
Diana Piper ◽  
Franz Benninger ◽  
Martha Feucht ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Temporal Lobe Epilepsy ◽  
Nonlinear Analysis ◽  
Temporal Lobe ◽  
Variant Frequency ◽  
Linear And Nonlinear ◽  
Frequency Selective

Nonlinear Analysis of Heart Rate Variability in Infants with Apparent Life- Threatening Events

2003 ◽  
pp. 369-373 ◽  
Author(s):  
Philippe Lemmerling ◽  
Sabine Van Huffel ◽  
Gunnar Naulaers ◽  
Hans Daniels ◽  
Hugo Devlieger
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nonlinear Analysis ◽  
Life Threatening

scholarly journals Optimal Length of Heart Rate Variability Data and Forecasting Time for Ventricular Fibrillation Prediction Using Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Da Un Jeong ◽  
Getu Tadele Taye ◽  
Han-Jeong Hwang ◽  
Ki Moo Lim
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Ventricular Fibrillation ◽  
World Health ◽  
Artificial Neural Network Classifier ◽  
Life Threatening ◽  
Causes Of Mortality ◽  
Health Organization ◽  
Forecast Time ◽  
Data Length

Ventricular fibrillation (VF) is a cardiovascular disease that is one of the major causes of mortality worldwide, according to the World Health Organization. Heart rate variability (HRV) is a biomarker that is used for detecting and predicting life-threatening arrhythmias. Predicting the occurrence of VF in advance is important for saving patients from sudden death. We extracted features from seven HRV data lengths to predict the onset of VF before nine different forecast times and observed the prediction accuracies. By using only five features, an artificial neural network classifier was trained and validated based on 10-fold cross-validation. Maximum prediction accuracies of 88.18% and 88.64% were observed at HRV data lengths of 10 and 20 s, respectively, at a forecast time of 0 s. The worst prediction accuracy was recorded at an HRV data length of 70 s and a forecast time of 80 s. Our results showed that features extracted from HRV signals near the VF onset could yield relatively high VF prediction accuracies.

scholarly journals Sensitivity, specificity and predictive values of linear and nonlinear indices of heart rate variability in stable angina patients

2012 ◽  
Vol 5 (1) ◽  
pp. 31 ◽  
Author(s):  
Flávio Pivatelli ◽  
Marcio dos Santos ◽  
Gislaine Fernandes ◽  
Marcio Gatti ◽  
Luiz de Abreu ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Stable Angina ◽  
Predictive Values ◽  
Linear And Nonlinear ◽  
Sensitivity Specificity

scholarly journals Endotoxin depresses heart rate variability in mice: cytokine and steroid effects

2009 ◽  
Vol 297 (4) ◽  
pp. R1019-R1027 ◽  
Author(s):  
Karen D. Fairchild ◽  
Jeffrey J. Saucerman ◽  
Laura L. Raynor ◽  
Joseph A. Sivak ◽  
Yuping Xiao ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
High Frequency ◽  
High Dose ◽  
Biphasic Response ◽  
Dexamethasone Treatment ◽  
Life Threatening ◽  
Surgical Implantation ◽  
Temporally Correlated

Heart rate variability (HRV) falls in humans with sepsis, but the mechanism is not well understood. We utilized a mouse model of endotoxemia to test the hypothesis that cytokines play a role in abnormal HRV during sepsis. Adult male C57BL/6 mice underwent surgical implantation of probes to continuously monitor electrocardiogram and temperature or blood pressure via radiotelemetry. Administration of high-dose LPS ( Escherichia coli LPS, 10 mg/kg, n = 10) caused a biphasic response characterized by an early decrease in temperature and heart rate at 1 h in some mice, followed by a prolonged period of depressed HRV in all mice. Further studies showed that LPS doses as low as 0.01 mg/kg evoked a significant decrease in HRV. With high-dose LPS, the initial drops in temperature and HR were temporally correlated with peak expression of TNFα 1 h post-LPS, whereas maximal depression in HRV coincided with peak levels of multiple other cytokines 3–9 h post-LPS. Neither hypotension nor hypothermia explained the HRV response. Pretreatment with dexamethasone prior to LPS significantly blunted expression of 7 of the 10 cytokines studied and shortened the duration of depressed HRV by about half. Interestingly, dexamethasone treatment alone caused a dramatic increase in both low- and high-frequency HRV. Administration of recombinant TNFα caused a biphasic response in HR and HRV similar to that caused by LPS. Understanding the role of cytokines in abnormal HRV during sepsis could lead to improved strategies for detecting life-threatening nosocomial infections in intensive care unit patients.

Comparison of Linear and Nonlinear HRV Dynamics Across Exercise Intensities After Menopause

2020 ◽  
Vol 28 (1) ◽  
pp. 149-154
Author(s):  
Julia C. Orri ◽  
Elizabeth M. Hughes ◽  
Deepa G. Mistry ◽  
Antone Scala
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Exercise Training ◽  
Postmenopausal Women ◽  
Maximal Exercise ◽  
Exercise Recovery ◽  
Active Recovery ◽  
Vigorous Exercise ◽  
Main Effect ◽  
Linear And Nonlinear

The authors compared the linear and nonlinear heart rate variability dynamics from rest through maximal exercise in postmenopausal women who trained at either moderate or high intensities. The outcome variables included the RR triangular index, TINN, SD1, SD2, SD1/SD2, DFA α1, DFA α2, and α1/α2. Maximal exercise reduced SD1, SD2, DFA α1, DFA α2, α1/α2, RRTri, and TINN in both groups and increased SD1/SD2 (p < .05). Two minutes of active recovery produced significant increases in SD1, SD2, DFA α1, and TINN, compared with exercise in both groups (p < .0001). There was also a significant main effect between groups for RRTri during exercise recovery, with the moderate group achieving higher levels (p < .04). The authors have shown that both moderate and vigorous exercise training can lead to a healthy response to maximal exercise and recovery, with the moderate group having a slightly improved recovery in the triangular index.

EFFECTS OF KOREAN TRADITIONAL HERBAL REMEDY ON HEART RATE VARIABILITY: LINEAR AND NONLINEAR ANALYSIS

2005 ◽  
Vol 115 (3) ◽  
pp. 393-403 ◽  
Author(s):  
MYEONG LEE ◽  
BYUNG-CHUL SHIN ◽  
YOUNG-HOON RIM ◽  
WON WOO
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Nonlinear Analysis ◽  
Herbal Remedy ◽  
Linear And Nonlinear
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