Method and system for detecting coronavirus infection by utilizing internet-of-things wearable device of internet of things

Abstract

The invention discloses a method and system for detecting coronavirus infection by utilizing an internet-of-things wearable device, and relates to the field of medical health. The method comprises the following steps that: S1, the internet-of-things wearable device completes collection of coronavirus clinical symptom data of a device wearer through a sensor; S2, the internet-of-things wearable device uploads the clinical symptom data to an internet-of-things remote data processing device through a network or a communication protocol; S3, sampling, filtering and classified detection are carried out on the clinical symptom data after the internet-of-things remote data processing device receives the clinical symptom data; S4, the internet-of-things remote data processing device performs data fusion on processing results of the clinical symptom data; and S5, the fused data is directly classified by using a threshold rule or a machine learning algorithm to determine a detection result. The wearable sensing device can be utilized for effectively detecting early clinical symptoms of coronavirus infection.

Description

technical field [0001] The invention relates to the field of medical health. Background technique [0002] The new crown virus Covid-19 has brought a deadly threat to the world economy and human life, and at the same time brought great pressure and challenges to the medical systems of various countries in the world. According to the recommendations of the World Health Organization, high fever, persistent cough and dyspnea are typical clinical symptoms of the new coronavirus Covid-19. Timely and accurate diagnosis based on clinical symptoms is of great clinical significance to effectively prevent the spread of the coronavirus. The current method of monitoring the new coronavirus is RT-PCR and isothermal nucleic acid amplification detection method, but it is expensive and difficult to detect and screen everyone. Relatively low-cost antibody testing cannot diagnose whether a patient is carrying coronavirus at an early stage, and a positive antibody test can only identify that ...

AI Technical Summary

Problems solved by technology

The current method of monitoring the new coronavirus is RT-PCR and isothermal nucleic acid amplification detection method, but it is expensive and difficult to detect and screen everyone

Relatively low-cost antibody testing cannot confirm whether a patient is carrying coronavirus at an early stage, and a positive antibody test can only identify that the carrier has recovered or is in the recovery stage of coronavirus infection

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