Litcius/Paper detail

Severity Monitoring Device for COVID-19 Positive Patients

Aman Dhadge, Girish Tilekar

202021 citationsDOI

Abstract

In this paper we have designed an intelligent wearable device and developed the corresponding algorithm, for COVID-19 positive patients that is capable of predicting and notifying the increase in severity of the virus. The device uses ESP 32: Node MCU, MAX 30102: Pulse Oximeter and Heart rate sensor, LM35: Temperature sensor and a vibration sensor. This device will monitor the patient's body condition such as heart pulse rate, oxygen saturation level, body temperature, hand movements due to restlessness and process this information simultaneously. Consequently, when the virus is predicted to advance to its next stage, an alert will be sent to the person taking care of the patient. Hence, this device will inform when the patient is advancing from mild to the moderate or serve condition of COVID-19. The paper gives a deep understanding on the use of this device.

Topics & Concepts

MicrocontrollerCoronavirus disease 2019 (COVID-19)Wearable computerComputer sciencePulse (music)Pulse ratePulse oximetryProcess (computing)Heart rateOxygen saturationWearable technologyNode (physics)Remote patient monitoringReal-time computingMedicineEmbedded systemInternal medicineBlood pressureAcousticsAnesthesiaNursingTelecommunicationsOxygenOperating systemPhysicsDetectorDiseaseInfectious disease (medical specialty)Quantum mechanicsNon-Invasive Vital Sign MonitoringCOVID-19 diagnosis using AIIoT-based Smart Home Systems