Can IoMT Help to Prevent the Spreading of New Coronavirus?
| Autor: | Fırat Aydemir |
|---|---|
| Přispěvatelé: | Aydemir, Fırat |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Coronavirus disease 2019 (COVID-19) Coronaviruses 030106 microbiology User Action Anosmia Anorexia Disease medicine.disease_cause Health Condition Incubation period 03 medical and health sciences 0302 clinical medicine Medical Studies medicine Electrical and Electronic Engineering Intensive care medicine Coronavirus Incubation Periods Notice business.industry Computer Science Applications Human-Computer Interaction Action (philosophy) Hardware and Architecture medicine.symptom business 030217 neurology & neurosurgery |
| Zdroj: | IEEE Consumer Electronics Magazine |
| ISSN: | 2162-2256 2162-2248 |
| DOI: | 10.1109/mce.2020.3026161 |
| Popis: | This article presents a potential solution based on the Internet of Medical Things for the COVID-19 epidemic, which determines the symptoms of the disease without required any user action and warns the user. In medical studies on COVID-19 in the literature, the most common symptoms encountered since the onset of COVID-19 disease have been reported as fever, dry cough, fatigue, anorexia, anosmia, and dyspnea. The average incubation period is 5 days; therefore, it is very important to detect the symptoms even before the infected people notice the signs, and warn them. Thus, it can be ensured that they isolate themselves from society against the possible disease condition and prevent the spread of the disease. A wrist-worn device that does not physically disturb the person is proposed to track the health conditions of the person and detect the symptoms of COVID-19 at the early stages. © 2012 IEEE. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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