Study of physiological control model based on unsteady time series

ZHANG Xiaodong, XIA Xiaojun, PU Baoming, GONG Xuchao, WANG Shuai

Systems Engineering - Theory & Practice ›› 2020, Vol. 40 ›› Issue (2) : 537-544.

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Systems Engineering - Theory & Practice ›› 2020, Vol. 40 ›› Issue (2) : 537-544. DOI: 10.12011/1000-6788-2019-0519-08

Study of physiological control model based on unsteady time series

  • ZHANG Xiaodong1,2, XIA Xiaojun1, PU Baoming1, GONG Xuchao3, WANG Shuai1,2
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Abstract

Physiological control system can adjust automatically through the interaction and feedback among many physiological variables (blood pressure, heart rate, respiration, etc.), and maintain internal and external balance. The weakening or even loss of the function and feedback ability is closely related to aging and disease. A method combining physiological models with switched linear dynamics is proposed in this paper, called P-SLD, the transfer function and power spectrum of the P-SLD are analyzed by using the unsteady physiological time series of mean arterial pressure and heart rate from nearly 300 adult ICU patients and 256 healthy people with different postures (supine and non-supine) from PhysioNet database, verifying that the proposed method can be used to reveal the changes associated with severe systemic inflammatory response syndrome (SIRS) and automatically capture the effects of postural changes on baroreflex gain. At the same time, the results of the study in this paper show that the decrease of the coupling of the mean pressure and heart rate has strong correlation with severe SIRS, even after adjusting for clinical interventions, it provides a hypothesis for the decomposition of automatic regulation of physiological control under health and disease conditions.

Key words

physiological control / unsteady state / physiological time series / heart rate / mean arterial pressure

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ZHANG Xiaodong , XIA Xiaojun , PU Baoming , GONG Xuchao , WANG Shuai. Study of physiological control model based on unsteady time series. Systems Engineering - Theory & Practice, 2020, 40(2): 537-544 https://doi.org/10.12011/1000-6788-2019-0519-08

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Funding

National Natural Science Foundation of China (61379106, 61379082); National Science and Technology Major Project of the Ministry of Science and Technology of China (2017ZX04011004)
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