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 language | English |
|---|---|
| Pages (from-to) | 593-599 |
| Number of pages | 7 |
| Journal | International Journal of Advanced Computer Science and Applications |
| Volume | 13 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
Keywords
- Fuzzy logic
- Internet of things (iot)
- Remote health care monitoring
- Wearable sensors
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