Monitor control method and monitor control system for respiratory medicine department based on big data

Abstract

The invention belongs to the technical field of respiratory monitor and discloses a monitor control method and a monitor control system for a respiratory medicine department based on big data. The control system comprises a power supply module, a respiration parameter acquisition module, an electrocardiosignal data acquisition module, an image acquisition module, a master control module, a data processing module, a data analysis module, a wireless communication module, a computer, a big data server, an alarm module and a display module. According to the monitor control method and the monitor control system disclosed by the invention, real-time discrete respiratory data are analyzed and mined by the data processing module, so that heath conditions of patients can be monitored in real time;the information acquiring efficiency is improved; in addition, information obtained by analyzing respiratory waveform data is abundant; meanwhile, the data analysis module is used for comprehensive analysis; individual conditions of users are analyzed fully, graphically and intuitively; respirator operating parameters of the users are set according to analysis results. A data analysis method disclosed by the invention is simple and high in practicality.

Description

technical field [0001] The invention belongs to the technical field of respiratory monitoring, and in particular relates to a control method and system for a monitor for respiratory medicine based on big data. Background technique [0002] Respiration refers to the process of gas exchange between the body and the external environment. The human respiration process includes three interrelated links: external respiration, including lung ventilation and lung ventilation; gas transport in the blood; internal respiration, which refers to the gas exchange between tissue cells and blood. It is best for a normal adult to breathe once at a time of 6.4 seconds, and the volume of gas inhaled and exhaled each time is about 500 milliliters, which is called tidal volume. When a person inhales hard until he can no longer inhale; and then exhales hard until he can no longer exhale, the amount of gas exhaled at this time is called vital capacity. The lung capacity of a normal adult man is ...

AI Technical Summary

Problems solved by technology

[0004] (1) In the existing respiratory monitoring process, the respiratory frequency data is generated according to the respiratory data. Due to the need to continuously process the original respiratory data in real time, the efficiency is low, and the generated respiratory data is single; at the same time, the respiratory data analysis method is complex, Poor practicality, not intuitive enough

[0005] (2) In the existing respiratory frequency sensor, in the process of processing the acoustic frequency non-stationary signal, there is a problem of modal aliasing in the middle and low frequency parts, which leads to a decrease in the accuracy of the processing results

[0006] (3) The existing image processing, when enhancing the overall image, causes some images to become darker, reducing the visual effect of the image

[0007] (4) in the prior art, when collecting the patient's electrocardiogram data information by the electrocardiogram detector, when detecting the QRS wave, the existing method is complicated and the calculation time is long and cannot be well applied in the microprocessor for real-time processing

In the prior art, the processing accuracy of the collected data by the big data server is poor, and the ability to identify and analyze the weak data that is difficult to confirm is poor, which limits the application of medical equipment in adjuvant therapy

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