TY - JOUR
T1 - Remote Healthcare Monitoring using Expert System
AU - Valsalan, Prajoona
AU - Hasan, Najam ul
AU - Baig, Imran
AU - Zghaibeh, Manaf
N1 - Publisher Copyright:
© 2022. International Journal of Advanced Computer Science and Applications.All Rights Reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Fuzzy logic
KW - Internet of things (iot)
KW - Remote health care monitoring
KW - Wearable sensors
UR - http://www.scopus.com/inward/record.url?scp=85129754803&partnerID=8YFLogxK
U2 - 10.14569/IJACSA.2022.0130370
DO - 10.14569/IJACSA.2022.0130370
M3 - Article
AN - SCOPUS:85129754803
SN - 2158-107X
VL - 13
SP - 593
EP - 599
JO - International Journal of Advanced Computer Science and Applications
JF - International Journal of Advanced Computer Science and Applications
IS - 3
ER -