Heart rate variability: a review

By Usha R. Acharya, Paul K. Joseph, N. Kannathal, Choo Min Lim, Jasjit S. Suri. Medical and Biological Engineering and Computing, 2006

2,892 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/8429535216a587aca95c60de485d5c0afc8cca86

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In Biomedical Engineering

In Cardiology and Cardiovascular Medicine

In Cognitive Neuroscience

Citations in the corpus

Emotion recognition using wireless signals (2016, background): “We refer the reader to [34, 4] for a detailed explanation of these features.”
Kubios HRV - Heart rate variability analysis software (2014, background): “Besides these main clinial scenarios, HRV has been studied with relation to several ardiovascular diseases, renal failure, physical exercise, occuational and psychosocial stress, gender, age, drugs, alcohol, moking and sleep [7,8,5,9,10,6].”
Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review (2016, background): “HRV, which is the temporal variation between sequences of consecutive heart beats [47], is probably the most commonly used feature in stress detection.”
EEG Signal Analysis: A Survey (2010, background): “In the case of data shuffling the histograms of the surrogate sequence and the reference sequence are identical [3].”
Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial (2021, background): “Thus, research suggests that HF and LF are prominent reflections of parasympathetic and sympathetic activity, respectively [44,52].”
The Autonomic Brain: An Activation Likelihood Estimation Meta-Analysis for Central Processing of Autonomic Function (2013, methodology): “ALE score MNI coordinates (in mm) x y z Sympathetic Midcingulate cortex, paracingulate cortex, supplementary motor area L/R 15,408 0.0190 0 10 40 Supramarginal gyrus, superior parietal lobule, primary somatosensory cortex R 8624 0.0128 48 26 46 Amygdala, subgenual anterior cingulate cortex, nucleus ”
Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis (2015, methodology): “from commercial smart phones to CE marked medical devices for ECG monitoring, including some advanced biomedical amplifiers); HRV was analysed with commercial software tools, sometimes well validated ones; HRV features in time and/or frequency were extracted and both linear and/or non-linear domains”
Photoplethysmography revisited: from contact to noncontact, from point to imaging (2015, neutral): “of these fluctuations to determine HRV has proven its effectiveness in various research and clinical studies (for a review, see [135] and[136]).”
Heart Rate Variability (HRV) Analysis: A Methodology for Organizational Neuroscience (2019, methodology): “Indeed, there are several available approaches to compute HRV analysis (Acharya et al., 2006; Task Force, 1996).”
An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals (2012, background): “The variability of the RR interval lengths is called hart rate variability (HRV), associated with the state of the autonomic nervous system [52].”
Basic notions of heart rate variability and its clinical applicability. (2009, background): “Além disso, esses índices também permitem verificar a influência de fatores como idade [4,7,37,79,80], sexo [81-83] e exercício [17-19,29,38] sobre o controle autonômico.”