Remote and non-invasive monitoring of patients with COVID-19 by smartphone
| Autor: | Diego Furtado Silva, Bernardino Geraldo Alves Souto, Obeedu Abubakar, Thiago Mazzu-Nascimento, Carlos Alberto Nogueira-de-Almeida, Danilo Nogueira Evangelista, Lucas Vinicius Domingues |
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| Rok vydání: | 2021 |
| Předmět: |
Telemedicine
medicine.diagnostic_test Isolation (health care) Coronavirus disease 2019 (COVID-19) business.industry Context (language use) General Medicine Auscultation 030204 cardiovascular system & hematology medicine.disease Voice analysis 03 medical and health sciences 0302 clinical medicine Pandemic medicine 030212 general & internal medicine Medical emergency business mHealth |
| Zdroj: | Scientia Medica. 31:e39340 |
| ISSN: | 1980-6108 1806-5562 |
| Popis: | The pandemic caused by the new coronavirus (SARS-COV-2) has led to more than two million deaths in the world by March 2021. The worldwide call to reduce transmission is enormous. Recently, there has been a rapid growth of telemedicine and the use of mobile health (mHealth) in the context of the COVID-19 pandemic. Smartphone accessories such as a flashlight, camera, microphone, and microprocessor can measure different clinical parameters such as oxygen saturation, blood pressure, heart rate, breathing rate, fever, pulmonary auscultation, and even voice analysis. All these parameters are of great clinical importance when evaluating suspected patients of COVID-19 or monitoring infected patients admitted in various hospitals or in-home isolation. In remote medical care, the results of these parameters can be sent to a call center or a health unit for interpretation by a qualified health professional. Thus, the patient can receive orientations or be immediately referred for in-patient care. The application of machine learning and other artificial intelligence strategies assume a central role in signal processing and are gaining much space in the medical field. In this work, we present different approaches for evaluating clinical parameters that are valuable in the case of COVID-19 and we hope that soon all these parameters can be measured by a single smartphone application, facilitating remote clinical assessments. |
| Databáze: | OpenAIRE |
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