Lomb-scargle periodogram applied to heart rate variability study

Fonseca, Diogo Simões; Netto, Aluizio d’Affonsêca; Ferreira, Ronél; de, A.M.F.L.M.

doi:10.1109/brc.2013.6487524

Cited by 28 publications

(29 citation statements)

References 9 publications

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“…Change in subjective ratings and heart rate were calculated as the difference between artificial and naturalistic conditions (naturalistic - artificial). HRV analysis was performed using the HRVAS toolbox53, using the Lomb-Scargle periodogram method5455 due to its suitability in handling irregular sampling of beat intervals5657. HRV values were entered into a two-way ANCOVA, with the no-soundscape value included as a covariate.…”

Section: Methodsmentioning

confidence: 99%

Mind-wandering and alterations to default mode network connectivity when listening to naturalistic versus artificial sounds

Praag

Garfinkel

Sparasci

et al. 2017

Sci Rep

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Naturalistic environments have been demonstrated to promote relaxation and wellbeing. We assess opposing theoretical accounts for these effects through investigation of autonomic arousal and alterations of activation and functional connectivity within the default mode network (DMN) of the brain while participants listened to sounds from artificial and natural environments. We found no evidence for increased DMN activity in the naturalistic compared to artificial or control condition, however, seed based functional connectivity showed a shift from anterior to posterior midline functional coupling in the naturalistic condition. These changes were accompanied by an increase in peak high frequency heart rate variability, indicating an increase in parasympathetic activity in the naturalistic condition in line with the Stress Recovery Theory of nature exposure. Changes in heart rate and the peak high frequency were correlated with baseline functional connectivity within the DMN and baseline parasympathetic tone respectively, highlighting the importance of individual neural and autonomic differences in the response to nature exposure. Our findings may help explain reported health benefits of exposure to natural environments, through identification of alterations to autonomic activity and functional coupling within the DMN when listening to naturalistic sounds.

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Section: Methodsmentioning

confidence: 99%

Mind-wandering and alterations to default mode network connectivity when listening to naturalistic versus artificial sounds

Praag

Garfinkel

Sparasci

et al. 2017

Sci Rep

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“…Resampling, in effect a nonlinear lowpass filter, also makes an implicit assumption about the form of underlying variation in the data series. Autoregressive (AR) based periodograms have also been employed as they can use shorter segments of data without losing spectral resolution [10]. However, in addition to requiring an evenly sampled data series, AR techniques are complex to implement and highly dependent on the choice of model or model order [4].…”

Section: A Power Spectral Density Estimationmentioning

confidence: 99%

An Application of The Lomb-Scargle Periodogram To Investigate Heart Rate Variability During Haemodialysis

Stewart¹,

Stewart²,

Walker³

et al. 2020

Preprint

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<div><div><div><p>Objective: Short-term cardiovascular compensatory responses to perturbations in the circulatory system caused by haemodialysis can be investigated by spectral analysis of heart rate variability. This could provide an important variable for categorising individual patients response to haemodialysis leading to a more personalised treatment. However, data obtained over a four-hour haemodialysis treatment is significant in volume and subject to artefacts that can compromise its analysis.</p><p>Methods: The Lomb-Scargle Periodogram can provide a robust method of generating power spectral density estimates for large, irregularly sampled and noisy data sets obtained in clinical settings, provided that careful attention is given to frequency limits. The effect of different pre-processing methods on the resulting power spectrum is explored with simulated and real heart rate variability data.</p><p>Results: Common pre-processing methods for correcting individual artefacts in heart rate records, such as interpolation, are unreliable as they act as non-linear low-pass filters and distort the resulting spectral analysis. These distortions are present, but less apparent within patient data and can mislead clinical interpretations.</p><p>Conclusion: It is more appropriate to exclude suspect data points than to edit them prior to spectral analysis via the Lomb- Scargle periodogram, and where required, de-noise the entire heart rate signal by empirical mode decomposition. The use of a False Alarm Probability metric can help establish whether spectral estimates are valid</p><p>Significance: Methods established to pre-process time-invariant data prior to power spectral density estimation fail when used in conjunction with the Lomb-Scargle method.</p></div></div></div>

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“…Lomb Periodogram Method -not a commonly used method, no need for input data series interpolation; but some authors [16] declare receiving insufficiently correct data.…”

Section: Research Backgroundmentioning

confidence: 99%

Time and Frequency Analysis of Heart Rate Variability Data in Heart Failure Patients

Georgieva-Tsaneva¹

2019

IJACSA

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The paper presents a mathematically based analysis of heart rate variability of two groups cardiology records: healthy individuals and patients diagnosed with heart failure. The main objective of the study is to perform a parametric evaluation of the cardiovascular system of the human body using time domain and frequency domain analysis of heart rate variability. Making distinguish between diseased individuals and healthy individuals is an interesting challenge that contemporary researchers are working on. Cardiologic records obtained through continuous Holter monitoring (24 hours) were used to address the issues in this study. The obtained results show significantly reduced values of most of the studied parameters in the time domain and the frequency domain in patients with heart failure compared to healthy individuals. The low values of the studied parameters indicate low variability of heart rate and poor overall health status. The graphical results of two study groups are shown when applying the modified Welch periodogram. These graphical results give a visual idea of the variability of time series in healthy and diseased individuals. The obtained numeric and graphical results show that heart failure patients can be distinguished from healthy individuals. The applied mathematical methods in heart rate variability studying can be used as an aid in the cardiology practice of doctors.

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Lomb-scargle periodogram applied to heart rate variability study

Cited by 28 publications

References 9 publications

Mind-wandering and alterations to default mode network connectivity when listening to naturalistic versus artificial sounds

Mind-wandering and alterations to default mode network connectivity when listening to naturalistic versus artificial sounds

An Application of The Lomb-Scargle Periodogram To Investigate Heart Rate Variability During Haemodialysis

Time and Frequency Analysis of Heart Rate Variability Data in Heart Failure Patients

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