Nonparametric Model Prediction for Intelligent Regulation of Human Cardiorespiratory System to Prescribed Exercise Medicine

Yu, Hairong; Zhang, Yi; Ye, Lin; Alqudah, Hamzah; Guo, Kairui; Argha, Ahmadreza; Celler, Branko G.; Song, Rong; Su, Steven W.

doi:10.1109/access.2020.3042542

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…The most commonly used aerobic exercise is a type of exercise performed at a moderate level of intensity for an extended period of time that can improve cardiopulmonary function, which is not only one of the most important characteristics of the whole body but also facilitates muscle energetics during physical activity 123 . Among the various kinds of aerobic exercise, the interval training exercise, e.g., the ascending-descending switching exercise, has been confirmed as an effective protocol to enhance cardiovascular fitness and prolong life 4 . The portable sensor can conveniently measure the heart rate (HR) of participants to ensure that the exercise is conducted under aerobic conditions 567 .…”

Section: Introductionmentioning

confidence: 99%

Oxygen uptake response to switching stairs exercise by non-parametric modeling

Yu,

Zhang,

Cao

et al. 2024

Control Theory Technol.

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Oxygen uptake plays a vital role in evaluating endurance performance during exercise and is widely used for metabolic assessment. In this study, the oxygen uptake during the exercise phase (i.e. ascending or descending) of the stairs exercise are recorded and the experimental dataset features ten participants and a range of different exercise periods. Based on the designed experiment protocol, a non-parametric modeling method with kernel-based regularization is generally applied to estimate the oxygen uptake changes during the switching stairs exercise that is close to the daily life status. Compared with the fixed-order models on accuracy, stability and compatibility, the modeling results demonstrate the effectiveness of the non-parametric modeling approach. The influence of exercise duration on estimated fitness reveals that the model of the phase-oxygen uptake system is not time-invariant related to respiratory metabolism regulation and muscle fatigue. Accordingly, it allows us to study the humans' conversion mechanism at different metabolic rates and facilitates the standardization and development of exercise prescriptions.

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Section: Introductionmentioning

confidence: 99%

Oxygen uptake response to switching stairs exercise by non-parametric modeling

Yu,

Zhang,

Cao

et al. 2024

Control Theory Technol.

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“…The most commonly used aerobic exercise is a type of exercise performed at a moderate level of intensity for an extended period of time that can improve cardiopulmonary function, which is not only one of the most important characteristics of the whole body but also facilitates muscle energetics during physical activity [1] [2] [3]. Among the various kinds of aerobic exercise, the interval training exercise, e.g., the ascending-descending switching exercise, has been confirmed as an effective protocol to enhance cardiovascular fitness and prolong life [4]. The portable sensor can conveniently measure the heart rate (HR) of participants to ensure that the exercise is conducted under aerobic conditions [5] [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Oxygen Uptake Response to Switching Stairs Exercise by Non-parametric Modeling

Xie

2022

Preprint

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Background: Oxygen uptake plays a vital role in evaluating endurance performance during exercise and is widely used for metabolic assessment. In order to guarantee the accuracy of oxygen uptake estimation, suitable modeling method applied to estimating cardiorespiratory response during interval training exercise should be investigated. Methods: In this study, the oxygen uptake during the exercise phase (i.e. ascending or descending) of the stairs exercise is recorded and the experimental dataset features ten participants and a range of different exercise periods. Based on the designed experiment protocol, a non-parametric modeling method with kernel-based regularization is generally applied to estimate the oxygen uptake changes during the interval stairs exercise that is close to the daily life status. Results: The non-parametric model exhibits the smallest variance and higher accuracy than fixed-order models in both one period and two periods during exercise. Moreover, the fitness of two periods is significantly lower than those of half or one period for the non-parametric model and the IR model is quite different in different periods, which indicates that the model of the system is changing with exercise periods. Conclusions: Compared with the fixed-order models on accuracy, stability and compatibility, the modeling results demonstrate the effectiveness of the non-parametric modeling approach. The influence of exercise duration on estimated fitness reveals that the model of the phase-oxygen uptake system is not time-invariant related to respiratory metabolism regulation and muscle fatigue. Accordingly, it allows us to study the humans’ conversion mechanism at different metabolic rates and facilitates the standardization and development of exercise prescriptions.

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“…Related work: With the increasing nonlinearity and timely variation of the process control target, in order to meet the control requirements of complex controlled objects, some control algorithms inspired by computer technology have been developed. In 1978, Testud et al [1] proposed the model predictive control algorithm (MPC) and established the concept of rolling time domain optimization. MPC have been widely used in various fields due to its good applicability and robustness, scholars from all over the world have produced a variety of MPC.…”

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confidence: 99%