High-dimensional time irreversibility analysis of human interbeat intervals

Hou, Feng zhen; Xin, Ning; Zhuang, Jian; Huang, Xiao; Fu, Mao jing; Bian, Chun hua

doi:10.1016/j.medengphy.2011.01.002

Cited by 15 publications

(9 citation statements)

References 22 publications

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“…Costa et al (2005) pointed out that time irreversibility of cardiac intervals is influenced by age and pathological factors; healthy young people have significantly higher time irreversibility of cardiac intervals than that of healthy elderly people, and healthy aged people have distinctly higher time irreversibility of cardiac intervals than patients with congestive heart failure (CHF) or atrial fibrillation. This conclusion was also supported by Hou et al (2011) with multi-scale time irreversibility method, and she also indicated that there are significant differences of time irreversibility in healthy young people between day and night (Hou et al, 2012).…”

Section: Introductionmentioning

confidence: 85%

“…Further research is needed to find out what generates the difference of delay time between hypoxic and normoxic environments. Hou et al (2011) defined the average value at different delay times of QP and QG as the high dimensional time irreversibility index P m , G m , and the square root of their sum of squares was defined as their comprehensive measurement index D m . Her study pointed out that the relationship between age, CHF, and time irreversibility of HRV was affected by the embedded dimension.…”

Section: Discussionmentioning

confidence: 99%

“…Ordinal mode has been applied to calculate the emergence frequency of various patterns (Graff et al, 2013). Hou et al (2011) defined high-dimensional irreversibility calculation index on the work of Porta (Graff et al, 2013) and Guzik (Guzik et al, 2006) by introducing different delay times for irreversibility analysis, and the mean value of all calculation results is the value of high-dimensional irreversibility. It reflects the comprehensive influence of different levels' time delay of nerves and fluid in the human body on time irreversibility of heart rate variability (HRV).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Variations of Time Irreversibility of Heart Rate Variability Under Normobaric Hypoxic Exposure

Yang

Liu

et al. 2021

Front. Physiol.

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In the field of biomedicine, time irreversibility is used to describe how imbalanced and asymmetric biological signals are. As an important feature of signals, the direction of time is always ignored. To find out the variation regularity of time irreversibility of heart rate variability (HRV) in the initial stage of hypoxic exposure, the present study implemented 2 h acute normobaric hypoxic exposure on six young subjects who have no plateau or hypoxia experiences; oxygen concentration was set as 12.9%. Electrocardiogram (ECG) signals were recorded in the whole process and RR interval sequences were extracted. Mathematical operations were executed to transform the difference of adjacent RR intervals into proportion and distance with delay time to conduct time irreversibility analysis of HRV. The same calculating method was implemented on six items randomly picked out from the MIT-BIH normal sinus rhythm database as a control group. Results show that variation of time irreversibility of HRV in a hypoxic environment is different from that in a normoxic environment, time irreversibility indices of a hypoxic group decreases continually at a delay time of 1 and 2, and indices curves of time irreversibility gradually tend to be steady and gather with each other at a delay time of 3 or 4. The control group shows no consistent tendency no matter what the delay time is in the range of 1–4. Our study indicates that in short-time hypoxic exposure, as hypoxic time goes by, regulation of the cardiovascular autonomic nervous system weakens; regulation times and intensity of sympathetic and parasympathetic nerves tend to be equal.

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Section: Introductionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Variations of Time Irreversibility of Heart Rate Variability Under Normobaric Hypoxic Exposure

Yang

Liu

et al. 2021

Front. Physiol.

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“…Otherwise it is time irreversible. Till now, many indexes have been proposed to quantify the time series irreversibility of a complex system, such as multiscale time irreversibility [27][28][29][30][31], symbolic time series irreversibility [32], time irreversibility extracted from Poincaré plot [33][34][35], complex network time irreversibility [36,37], and time irreversibility in high dimensional space [38,39]. The scientific and engineering applications of time series irreversibility also involve many fields including financial system [40,41], human heart rate [42][43][44], human brain [45], and seismicity [46].…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Time Irreversibility from Time Series for Analyzing Oil-in-Water Flow Transition

Chen

Liu

et al. 2016

Mathematical Problems in Engineering

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We first experimentally collect conductance fluctuation signals of oil-in-water two-phase flow in a vertical pipe. Then we detect the flow pattern asymmetry character from the collected signals with multidimensional time irreversibility and multiscale time irreversibility index. Moreover, we propose a novel criterion, that is, AMSI (average of multiscale time irreversibility), to quantitatively investigate the oil-in-water two-phase flow pattern dynamics. The results show that AMSI is sensitive to the flow pattern evolution that can be used to predict the flow pattern transition and bubble coalescence.

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“…Guzik et al provided an index to differentiate the square of ΔRR + and the square of ΔRR - [7][8]. Hou et al proposed to simultaneously inspect both Porta's and Guzik's indices under multiple temporal scales and high-dimensional embedding [13][14].…”

Section: Introductionmentioning

confidence: 99%

Combination of equiprobable symbolization and time reversal asymmetry for heartbeat interval series analysis

et al. 2013

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Symbolic dynamics method and time reversal asymmetry analysis are both important approaches in the study of heartbeat interval series. However, there is limited research work reported on combining these two methods. We provide a method of time reversal asymmetry analysis which focuses on the differences between the forward and backward embedding "m words" after the operation of equiprobable symbolization. To investigate the total amplitude as well as the distribution features of the difference, four indices are proposed. Based on the application to simulation series, we found that these measures can successfully detect time reversal asymmetry in chaos series. With application to human heartbeat interval series (RR series), it is suggested that the distribution features of the forward-backward difference can sensitively capture the dynamical changes caused by diseases or aging. In particular, the index E(D), which reflects the random degree of the forward-backward difference distribution, can significantly discriminate healthy subjects from diseased ones. We conclude that RR series from healthy subjects show more asymmetry in temporal structure on the original time scale from the perspective of equiprobable symbolization, whereas diseases account for loss of this asymmetry.

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High-dimensional time irreversibility analysis of human interbeat intervals

Cited by 15 publications

References 22 publications

Variations of Time Irreversibility of Heart Rate Variability Under Normobaric Hypoxic Exposure

Variations of Time Irreversibility of Heart Rate Variability Under Normobaric Hypoxic Exposure

Time Irreversibility from Time Series for Analyzing Oil-in-Water Flow Transition

Combination of equiprobable symbolization and time reversal asymmetry for heartbeat interval series analysis

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