Multi-scale recurrence quantification analysis of heartbeat interval series in healthy vs. Heart failure subjects

Huo, Chengyu; Lu, Yi; Huang, Xiaolin; Liu, Hongxing; Ning, Xinbao

doi:10.1109/bmei.2014.7002797

Cited by 3 publications

(2 citation statements)

References 25 publications

(25 reference statements)

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“…Therefore, RIA enables us to analyze the profile of volatility in different magnitudes, and it does not have to make the presumption that the load between past and future should follow specific functional relationships [23]. Owing to its wide application, RIA is now used in diverse fields, including the study of climate [24], earthquake activities [25], heartbeat monitoring [26], and financial volatility [27].…”

Section: Introductionmentioning

confidence: 99%

Recurrence Interval Analysis on Electricity Consumption of an Office Building in China

2018

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Abstract:The energy management of office buildings has been a rising concern for owners, researchers, and energy suppliers. The volatility of power load in office buildings threatens energy consumption and risks device security. This paper investigates the load fluctuation patterns in an office building based on user data, using recurrence interval analysis for different thresholds. The recurrence intervals of volatility are fitted by stretched exponential distribution, from which the probability density function is derived. Then, the short-term and long-term memory effect on the fluctuations are learned by conditional probability density function and multifractal detrended fluctuation analysis, respectively. A hazard function is further established to analyze the risk estimation of load volatility and derive the value at risk (VaR). Thus, a functional relationship has been established between average recurrence interval and threshold. The methodology and analysis results addressed in this paper help to understand load fluctuation patterns and aid in the design of energy consumption strategies in office buildings. According to the results of our research, conclusions and management suggestions are provided at the end of this paper.

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Section: Introductionmentioning

confidence: 99%

Recurrence Interval Analysis on Electricity Consumption of an Office Building in China

2018

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“…RIA has been widely used to analyze extreme events in many fields, for example, climate [44], earthquake activities [45,46], heartbeat monitoring [47,48] and financial volatility [49,50]. These events occur with a high magnitude and low probability.…”

Section: Literature Reviewmentioning

confidence: 99%

The Recurrence Interval Difference of Power Load in Heavy/Light Industries of China

Zhang

2018

Energies

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Abstract:The significant fluctuation of industrial electricity consumption has a high impact on power load, which makes the research on recurrence intervals between extreme events of theoretical and practical significance. The study uses a high-frequency data of heavy and light industries and employs recurrence interval analysis in different thresholds. We find that the reoccurrence interval of volatility can fit with the stretched exponential function and the probability density functions of recurrence intervals in various thresholds shows a scaling behavior. Then, the conditional probability density function and the multifractal detrended fluctuation analysis demonstrate the existence of short-range correlation, long-range correlation, and multifractal properties, respectively. We further construct a hazard function, introduce recurrence intervals into VaR calculation and establish a functional relationship between average recurrence interval and threshold. Following this result, we also shed light on policy discussion for multi-industrial electricity supply management.

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Multiscale Cross-Recurrence Plot and Recurrence Quantification Analysis Based on Coarse-Grained

Huang

2021

Fluct. Noise Lett.

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In this paper, we proposed multiscale cross-recurrence quantification analysis (MSCRQA) method to analyze the dynamic states of two time series at different time scales. We apply this method to model system (two coupled van der Pol oscillators) and real-world system (SSEC and SZSE). It demonstrates that the MSCRQA can show richer and more recognizable information compared with single time scale. The state of dynamics is different under different time scales. MSCRQA method shows another multiscale perspective to fully mine more hidden internal dynamic information of a time series. This method may provide another method reference for practical application to better explore the laws of the real world.

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Multi-scale recurrence quantification analysis of heartbeat interval series in healthy vs. Heart failure subjects

Cited by 3 publications

References 25 publications

Recurrence Interval Analysis on Electricity Consumption of an Office Building in China

Recurrence Interval Analysis on Electricity Consumption of an Office Building in China

The Recurrence Interval Difference of Power Load in Heavy/Light Industries of China

Multiscale Cross-Recurrence Plot and Recurrence Quantification Analysis Based on Coarse-Grained

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