Modeling in Respiratory Movement Using LabVIEW and Simulink

He, Zhipeng; Zhao, Yifan

doi:10.5772/13134

Cited by 4 publications

(4 citation statements)

References 27 publications

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“…As Tekin [7] and He and Zao [8] describe, LabView has a strong interface to hardware and Matlab/Simulink is a powerful and fast data processing system.…”

Section: B Development Softwarementioning

confidence: 98%

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Development of a real time actuation control in a network-simulation framework for active drag reduction in turbulent flow

Duck¹,

Kaparaki²,

Srivastava³

et al. 2013

2013 CACS International Automatic Control Conference (CACS)

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Active drag reduction in high Reynolds numbers (>10 4 ) by span-wise transversal surface waves is a promising approach to gain less energy consumption and less pollution in air transportation. The development of robust methods for this flow control is based on numerical studies and wind tunnel experiments. In final application, flow control is expected to be performed by real time actuator and sensor networks. In a first step a SIMULINK model of the network is developed which is also used to drive wind tunnel experiments for parameter studies and testing of control algorithms. In this paper we focus on the LabView based interface to the actuating and sensing hardware enabling continuous changes of actuating parameters in real time. This implementation already allows for extensive and efficient experimental wind tunnel studies.

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“…As Tekin [7] and He and Zao [8] describe, LabView has a strong interface to hardware and Matlab/Simulink is a powerful and fast data processing system.…”

Section: B Development Softwarementioning

confidence: 98%

“…Instead of an additional software-package like Simulation Interface Toolkit [8] to connect Simulink with LabView an easy TCP/IP-connection to communicate between both programs is used. The Communication System receives the wave parameters via an XML-based protocol and forwards them to the Actuation Control System.…”

Section: B Development Softwarementioning

confidence: 99%

Development of a real time actuation control in a network-simulation framework for active drag reduction in turbulent flow

Duck¹,

Kaparaki²,

Srivastava³

et al. 2013

2013 CACS International Automatic Control Conference (CACS)

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show abstract

“…1. In this model, each branch of a given generation is further subdivided into two identical daughters; therefore generation 'n' has 2 n branches [21,22].…”

Section: Model Of the Respiratory Systemmentioning

confidence: 99%

“…The necessary calculations of R, L, and C to reflect it for the different generations of the respiratory system are shown in Table 1. Using Table 1 for 'generation 0', generation 1 to 19, and generation 20 to 23 correspond to the trachea, bronchi, and alveolar sacs respectively [10,[21][22][23]. The derived values of R, L, and C are tabulated in Table 2.…”

Section: Model Of the Respiratory Systemmentioning

confidence: 99%

Self Adaptive Fuzzy Controller for Supplementary Oxygen Supply to the Respiratory Distress Patients

Naskar¹,

Pal²

2022

J. Sci. Res.

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In this paper, respiratory irregularities of humans are investigated, and a self Adaptive Fuzzy Logic-based Proportional plus Derivative Controller (AFLPDC) is designed to provide a controlled supply of oxygen to the patient, suffering from breathlessness. The Fuzzy Logic-based Proportional plus Derivative Controller (FLPDC) is tuned, by implementing an adaptive scheme, which provides desired control action according to the process parameter variations. The electrical equivalent model of the respiratory system is developed, and the model is validated with the help of a Spirometer and MATLAB System Identification Toolbox. To build up this model, the respiratory tract is well thought out into four sections: the nasal cavity, trachea, bronchi, and finally, the alveolar sacs. Each of these sections is represented as a series of combinations of Resistance, Inductance, and Compliance. The control capability of the proposed AFLPDC is investigated on the derived respiratory model. The supply of the desired level of supplemental oxygen by AFLPDC to the patients suffering from the diseases like Bronchitis and Emphysema during respiratory dysfunction is observed in the MATLAB SIMULINK environment without human intervention. The response revealed by AFLPDC is compared with the responses of the conventional PD controller and the Fuzzy Logic-based PD controller (FLPDC).

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Changes of particle deposition caused by different breathing patterns during active lung simulation

Paštěka

Forjan

2019

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Modeling in Respiratory Movement Using LabVIEW and Simulink

Cited by 4 publications

References 27 publications

Development of a real time actuation control in a network-simulation framework for active drag reduction in turbulent flow

Development of a real time actuation control in a network-simulation framework for active drag reduction in turbulent flow

Self Adaptive Fuzzy Controller for Supplementary Oxygen Supply to the Respiratory Distress Patients

Changes of particle deposition caused by different breathing patterns during active lung simulation

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