IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

IoT based Novel approach for identification of early detection of Covid-19

Main Article Content

RadhaKrishna Karne1, E.Sruchil2, T.Laxmiganesh3, M.Nitheeshkumar4, L.Oamkar5

Abstract

Patients diagnosed with Covid-19 often exhibit a range of symptoms including but not limited to dyspnea, irregular cardiac rhythm, and pulmonary dysfunction, which bear resemblance to the clinical manifestations seen in cases of pneumonia. These symptoms indicate abnormal blood oxygen saturation. The Pulse Oximeter is one of several medical devices that measure blood oxygen levels. According to news reports, mass media, and surveys at health facilities (Faskes) in Banyuwangi, many hospitals that treat Covid-19 patients are now unable to independently provide sufficient quick test equipment for early diagnosis. A Covid-19-positive quarantined patient may be hospitalized under medical care. As a responsible traveler from a Covid-19 red zone, they may self-quarantine at home. Such instances need infectious risk evaluation. Covid-19 infection might take 10-14 days or more to show symptoms. Some may stay asymptomatic during the illness. Covid-19 may cause asthma-like and pneumonia-like symptoms. This effort focused on developing bloodstream dissolved oxygen measurement equipment. This was done via medical cooperation and independent experimentation. Healthcare has largely used the Pulse Oximetry Kit. However, the Pulse Oximetry Kit still lacks a real-time monitoring system and the capacity to log measurement findings for Covid-19 patient management. The main goal of this project is to improve pulse oximetry kits using IoT technologies. These kits will use cellphones to remotely monitor covid-19 patients while keeping to physical and social distance rules.

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