Phase synchronization of hemodynamic variables and respiration during mental challenge

Lackner, Helmut; Papousek, Ilona; Batzel, Jerry J.; Roessler, Andreas; Scharfetter, Hermann; Hinghofer‐Szalkay, Helmut

doi:10.1016/j.ijpsycho.2011.01.001

Cited by 53 publications

(50 citation statements)

References 46 publications

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“…This result, which is again more evident using LMSE than RMSE, has been previously observed at scale 1 [36] and is possibly related to complex patterns of autonomic activation following cognitive load [41,42] 0.15 Hz). The emergence of a significantly higher complexity of SAP during HUT when HF fluctuations are filtered out is a novel finding, suggesting that the postural stress decreases the regularity of LF arterial pressure oscillations, while HF oscillations display similar or even increased regularity.…”

Section: Resultssupporting

confidence: 78%

Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models

et al. 2017

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The most common approach to assess the dynamical complexity of a time series across multiple temporal scales makes use of the multiscale entropy (MSE) and refined MSE (RMSE) measures. In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. To overcome these limitations, we propose a method to assess RMSE for autoregressive (AR) stochastic processes. The method makes use of linear state-space (SS) models to provide the multiscale parametric representation of an AR process observed at different time scales and exploits the SS parameters to quantify analytically the complexity of the process. The resulting linear MSE (LMSE) measure is first tested in simulations, both theoretically to relate the multiscale complexity of AR processes to their dynamical properties and over short process realizations to assess its computational reliability in comparison with RMSE. Then, it is applied to the time series of heart period, arterial pressure, and respiration measured for healthy subjects monitored in resting conditions and during physiological stress. This application to short-term cardiovascular variability documents that LMSE can describe better than RMSE the activity of physiological mechanisms producing biological oscillations at different temporal scales.

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Section: Resultssupporting

confidence: 78%

Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models

et al. 2017

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“…Consequently, the design of the humor paradigm, with 6 s picture presentation followed by 4 s for the amusement rating may have produced overlapping time courses of blood pressure changes and, thus, no clear-cut blood pressure response to the perception of humor emerged. The systolic blood pressure is also more strongly affected by respiration than the diastolic blood pressure (Lackner et al, 2011). However, the use of relative changes compared to the activity prior to the picture onset in conjunction with the relative short time interval should have ruled out significant influences of respiration on blood pressure.…”

Section: Discussionmentioning

confidence: 99%

I got it! Transient cardiovascular response to the perception of humor

Lackner

Weiss

Schulter

et al. 2013

Biological Psychology

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a b s t r a c tThe aim of the present study was to examine the transient cardiovascular response to the perception of humor, that is, the impact of the cognitive process of insight as well as the modulation of the response by the affective appraisal of the humor. To this end transient heart rate, stroke volume, cardiac output, and blood pressure responses were obtained in the immediate context of detecting the punch line in cartoons. Fine-grained analysis of the transient behavior of cardiovascular variables during viewing the cartoons was contrasted to non-humorous cartoon-like pictures. The detection of a punch line was accompanied by relative heart rate acceleration in conjunction with increased cardiac output, which was more pronounced the more amusing the cartoons were perceived. These results provide first evidence of the usefulness of cardiovascular variables for detecting the moment of insight and the quantification of the size of the emotional response accompanying it.

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“…HRV measures in time and frequency domains, both linear and non-linear, were extracted by the papers included in this review [1,5,6,[12][13][14][15][16][17][18][19][20]. Further details about HRV methodological conventions adopted in this review can be found in two open access papers [21,22].…”

Section: Paper Shortlisting Data Extraction and Outcomes Of Interestmentioning

confidence: 99%

“…When papers shortlisted for meta-analysis reported features in a non-conventional way, these measures were excluded from the pooling or converted in ms 2 , if possible. For instance, three studies [16,17,19] reported frequency domain features log-transformed (LF Log and HF Log ). These were untransformed according to [23], using the following formula:…”

Section: Hrv Measuresmentioning

confidence: 99%

Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis

Castaldo

Melillo

Bracale

et al. 2015

Biomedical Signal Processing and Control

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Leandro. (2015) Acute mental stress assessment via short term HRV analysis in healthy adults : a systematic review with meta-analysis. Biomedical Signal Processing and Control, Volume 18 . pp. 370-377. Permanent WRAP url:http://wrap.warwick.ac.uk/69425 Copyright and reuse:The Warwick Research Archive Portal (WRAP) makes this work by researchers of the University of Warwick available open access under the following conditions. Copyright © and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable the material made available in WRAP has been checked for eligibility before being made available.Copies of full items can be used for personal research or study, educational, or not-forprofit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way. A note on versions:The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP url' above for details on accessing the published version and note that access may require a subscription.For more information, please contact the WRAP Team at: publications@warwick.ac.uk Acute mental stress assessment via short term HRV analysis in healthy adults: a systematic review with meta-analysis. AbstractMental stress reduces performances, on the work place and in daily life, and is one of the first causes of cognitive dysfunctions, cardiovascular disorders and depression. This study systematically reviewed existing literature investigating, in healthy subjects, the associations between acute mental stress and short-term Heart Rate Variability (HRV) measures in time, frequency and non-linear domain. The goal of this study was to provide reliable information about the trends and the pivot values of HRV measures during mental stress. A systematic review and meta-analysis of the evidence was conducted, performing an exhaustive research of electronic repositories and linear researching references of papers responding to the inclusion criteria. After removing duplicates and not pertinent papers, journal papers describing well-designed studies that analyzed rigorously HRV were included if analyzed the same population of healthy subjects at rest and during mental stress. 12 papers were shortlisted, enrolling overall 758 volunteers and investigating 22 different HRV measures, 9 of which reported by at least 2 studies and therefore meta-analyzed in this review. Four measures in time and nonlinear domains, associated with a normal degree of HRV variations resulted significantly depressed during stress. The power of HRV fluctuations at high frequencies was significantly depressed during stress, while the ratio between low and high frequency resulted significantly increased, suggest...

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Phase synchronization of hemodynamic variables and respiration during mental challenge

Cited by 53 publications

References 46 publications

Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models

Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models

I got it! Transient cardiovascular response to the perception of humor

Acute mental stress assessment via short term HRV analysis in healthy adults: A systematic review with meta-analysis

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