A Survey On Different Methods For Remote Health Monitoring In Covid 19 Diagnosis

Abstract

The outburst of the coronavirus is in the phase of development due to lack of precise diagnosis needed by patients. Because the virus spreads quickly from a corona positive individual to the others, the health of any area that is densely inhabited is quite important. Presently, medical community has reached a disaster level since the number of cases are rising very fast and the medical facilities are very limited. Therefore, it is high time that an intelligent model is conceived and developed for monitoring the symptoms of patient health online, then estimate and find the anomaly in the health status of patient further. By assessing the tracked health parameters in this way, a corona virus-infected patient's health condition may be analysed using a well-adapted prediction model. In this study, an overview on the benchmark approaches utilized in recent remote monitoring in covid 19 diagnosis studies is provided where the different algorithms are elucidated and the comparison between the advantages is performed. Also, the problems and drawbacks that covid 19 diagnosis research encounters commonly is discussed. On the whole, this article comprehensively delves into the field of automated remote monitoring in covid 19 diagnosis and also the future research endeavors in this field are put forward.