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A medical device which will have SpO2 , respiratory rate , heart rate , body temperature and on the top it will run by TinyML model using Edge impulse to predicts the patient condition. The classification is based on research papers.

License: GNU General Public License v3.0

C++ 98.01% Jupyter Notebook 1.99%

covidpatienthealhassessingdevice's Introduction

CovidPatientHealhAssessingDevice

A medical device which will have SpO2 , respiratory rate , heart rate , body temperature and on the top it will run by TinyML model using Edge impulse to predicts the patient condition. The classification is based on research papers.

healthdata_Dataacquisition.ino --> code simulation in model training in edge impulse

CovidPatientHealthAssessment.ino -> Code to flash for prorotype .

Make sure you have incuded the 'ei-covid-19-patient-health-prediction-arduino-1.0.1.zip' library in arduino.

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Architecture:

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