Remote Healthcare Monitoring using Expert System

Prajoona Valsalan, Najam ul Hasan, Imran Baig, Manaf Zghaibeh

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

With the introduction of the novel coronavirus and the ensuing epidemic, health care has become a primary priority for all governments. In this context, the best course of action is to implement an Internet of Things (IoT)-based remote health monitoring system. As a result, IoT systems have attracted significant attention in academia and industry, and this trend is likely to continue as wearable sensors and smartphones become more prevalent. Even if the doctor is a substantial distance away, IoT health monitoring enables the prevention of illness and the accurate diagnosis of one’s current state of health through the use of a portable physiological monitoring framework that continually monitors the patient’s systolic blood pressure, blood glucose, oxygen saturation, and diastolic blood pressure. The expert system generates a diagnosis of the patient’s health status based on the sensor data. Once the patient’s sensor data is transmitted to the cloud via a WiFi module, the expert system uses it to diagnose the patient’s health status in order to facilitate any medical attention or critical care that may be required for his condition.

Original languageEnglish
Pages (from-to)593-599
Number of pages7
JournalInternational Journal of Advanced Computer Science and Applications
Volume13
Issue number3
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

  • Fuzzy logic
  • Internet of things (iot)
  • Remote health care monitoring
  • Wearable sensors

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