Real-time ward dynamic monitoring equipment based on big data acquisition

Abstract

The invention discloses real-time ward dynamic monitoring equipment based on big data acquisition. The equipment comprises a machine box, a mounting clamping groove, a display, a limiting groove, a limiting assembly, an adjusting assembly, a monitoring detection probe, a fixer and a bandage, and is characterized in that a base plate is arranged at the bottom of the machine box through a fixing screw in a covering mode, the monitoring detection probe is arranged at the lower end of the base plate, an MCU module, a data receiving module, a comparative analysis module, an alarm module, a storage module and a wireless connection module are arranged at the upper end of the base plate through a circuit board, the monitoring detection probe monitors physiological feature data of a patient and transmits the data to the MCU module through the data receiving module, the MCU module calls all stored case information of the patient in the storage module, the case information is compared, calculated and analyzed through the comparative analysis module and put on a display screen, and once the body of the patient is abnormal, the MCU module controls the wireless connection module to be connected with a nurse station host to give an alarm to call medical staff, and therefore, a doctor can quickly diagnose and judge the illness state of the patient by checking comparison data on the display.

Description

technical field [0001] The invention relates to the field of big data application technology, in particular to a real-time dynamic monitoring device for a ward based on big data collection. Background technique [0002] A monitor is a device or system that measures and controls a patient's physiological characteristic parameters, and can be compared with a known set value, and an alarm can be issued if it exceeds the standard. The monitor is suitable for medical and health care institutions. It is used to monitor the ECG, respiration, body temperature, pulse oxygen saturation, pulse rate, non-invasive blood pressure and other physiological characteristic parameters of adults, children and newborns. The information can be displayed, reviewed, stored and output, and the abnormal monitoring signal can be alarmed. [0003] However, currently used monitors can only perform simple data analysis, real-time data cannot be compared with previous data, and cannot directly provide eff...

AI Technical Summary

Problems solved by technology

[0003] However, currently used monitors can only perform simple data analysis, real-time data cannot be compared with previous data, and cannot directly provide doctors with effective data support for accurate judgment of the patient's condition, which affects the patient's condition diagnosis efficiency; and Most of the existing monitors are wired, and the lines of various testing instruments are fixed on the patient's body, which not only makes the patient uncomfortable, but also easily causes loosening and falling off when the patient turns over, affecting real-time monitoring

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