Analysis of heart rate variability based on quantitative approach

Tun, Hla Myo

doi:10.15406/mojpb.2018.07.00223

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…Therefore, DFA alpha 1 was extracted. The extracted HRV features are summarized in Table 2 [30][31][32].…”

Section: Hrv Features' Extractionmentioning

confidence: 99%

Bathtub ECG as a Potential Alternative to Light Stress Test in Daily Life

Chen

2022

Electronics

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The exercise stress test (EST) is a common procedure to evaluate cardiovascular functions. However, the EST is not suitable for daily use, is sometimes risky, and even accompanies fatal incidents of myocardial infarction, arrhythmia, and sudden death during the test. The aim of this study was to evaluate heart rate variability (HRV) behaviors in the EST and during bathing, and to explore if daily bathing can serve as a potential alternative means of performing the EST. Electrocardiogram (ECG) signals were collected from 10 healthy subjects during the EST and bathing test (BT). The EST follows the modified Bruce protocol. ECG collection in the BT was conducted at five water temperatures ranging from 37 to 41 degrees Celsius (°C); each BT lasted 15 min. Twenty-three HRV features were used to group different bathing conditions corresponding to the EST stages using the Voronoi diagram method in terms of HRV behaviors. In all equivalent EST stages of BTs at the five water temperatures, the low stage, medium stage, and high stage account for 17.86%, 52.86%, and 29.29%, respectively. The results show that higher water temperatures and longer bathing durations in BT correspond to higher stages in the EST. The BT at the most severe condition of 41 °C and 15 min corresponds to a high EST stage in terms of HRV behavior. The results suggest that daily bathing can serve not only for healthcare monitoring but also as a reference for an at-home alternative to the EST.

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“…Therefore, DFA alpha 1 was extracted. The extracted HRV features are summarized in Table 2 [30][31][32].…”

Section: Hrv Features' Extractionmentioning

confidence: 99%

Bathtub ECG as a Potential Alternative to Light Stress Test in Daily Life

Chen

2022

Electronics

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“…The autoregressive model uses 16 coefficients (order 16) to calculate the power spectral density of the HRV signal [44]. On the other hand, WPT method uses 10 decomposition levels (nPack ¼ 10) and a mother wavelet daubechies 6 [17]. Algorithm 9.…”

Section: Extracted Features From Resampled Hrv Signalmentioning

confidence: 99%

“…Consequently, it is important to choose an appropriate mother wavelet function. According to [ 17 ], Daubechies wavelet functions are the most suitable to be used on ECG and HRV signals.…”

Section: Introductionmentioning

confidence: 99%

Methodology for the prediction of paroxysmal atrial fibrillation based on heart rate variability feature analysis

Castro

Garcia-Racines

Noreña

2021

Heliyon

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Atrial fibrillation (AF) is the most clinically diagnosed arrhythmia, as its prevalence increases with age, and its initial stage is paroxysmal atrial fibrillation (PAF). This pathology usually triggers hemodynamic disorders that can generate cerebrovascular accidents (CVA), causing morbidity and even death. The aim of this study is to predict the occurrence of PAF episodes in order to take precautions to prevent PAF episodes. The PhysioNet AFPDB prediction database was used to extract 77 heart rate variability (HRV) features using time domain, geometrical analysis, Poincar e plot, nonlinear analysis, detrended fluctuation analysis, autoregressive modeling, fast Fourier transform (FFT), Lomb-Scargle periodogram, wavelet packet transform (WPT) and bispectrum measurements. The number of features was reduced using the near-zero value, correlation, and recursive feature elimination (RFE) methods for time windows of 1, 2, 5, 10, and 30 min. Feature selection was performed using backwards selection, genetic algorithm, analysis of variance (ANOVA), and non-dominated sorting genetic algorithm (NSGA-III) methods, and then random forest, conditional random forest, k-nearest neighbor (KNN), and support vector machine (SVM) classification algorithms were applied and evaluated using 10-fold cross-validation. The proposed method achieved a precision of 93.24% with a 5-minute window and 89.21% with a 2-minute window, improving performance in predicting PAF when compared with similar studies in the literature.

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Definition of guidelines for virtual reality application design based on visual attention

Baldoni,

Hadj Sassi,

Carli

et al. 2023

Multimed Tools Appl

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In virtual reality applications, head-mounted displays allow users to explore virtual surroundings, thus creating a high sense of immersion. However, due to the novelty of the technology and the possibility of freely enjoying a $$360^\circ $$ 360 ∘ virtual world, users can get distracted and divert their attention from the content of the application. In this work, we define a set of guidelines for the design of virtual reality applications for enhancing the users’ attention. To the best of our knowledge, this is one of the first attempts to provide general guidelines for virtual application design based on visual attention. More specifically, we analyze the different categories of factors that contribute to the user’s responsiveness and define a set of experiments for measuring the user’s promptness with respect to visual stimuli with different features and in the presence of audio/visual distractions. Experimental tests have been carried out with 36 volunteers. The users’ reaction time has been recorded and the performed analysis allowed the definition of a set of guidelines based on individual, operational, and technological factors for the design of virtual reality applications optimized in terms of user attention. In particular, statistical tests demonstrated that the presence of distractions leads to significantly different reaction times with respect to the case of no distractions, and that users belonging to different age intervals have significantly different behaviors. Moreover, the optimal placement of objects has been identified and the impact of cybersickness has been analyzed.

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Analysis of heart rate variability based on quantitative approach

Cited by 6 publications

References 10 publications

Bathtub ECG as a Potential Alternative to Light Stress Test in Daily Life

Bathtub ECG as a Potential Alternative to Light Stress Test in Daily Life

Methodology for the prediction of paroxysmal atrial fibrillation based on heart rate variability feature analysis

Definition of guidelines for virtual reality application design based on visual attention

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