Abstract
In several countries, the ageing population contour focuses on high healthcare costs and overloaded health care environments. Pervasive health care monitoring system can be a potential alternative, especially in the COVID-19 pandemic situation to help mitigate such problems by encouraging healthcare to transition from hospital-centred services to self-care, mobile care and home care. In this aspect, we propose a pervasive system to monitor the COVID’19 patient’s conditions within the hospital and outside by monitoring their medical and psychological situation. It facilitates better healthcare assistance, especially for COVID’19 patients and quarantined people. It identifies the patient’s medical and psychological condition based on the current context and activities using a fuzzy context-aware reasoning engine based model. Fuzzy reasoning engine makes decisions using linguistic rules based on inference mechanisms that support the patient condition identification. Linguistics rules are framed based on the fuzzy set attributes belong to different context types. The fuzzy semantic rules are used to identify the relationship among the attributes, and the reasoning engine is used to ensure precise real-time context interpretation and current evaluation of the situation. Outcomes are measured using a fuzzy logic-based context reasoning system under simulation. The results indicate the usefulness of monitoring the COVID’19 patients based on the current context.
Highlights
COVID’19 positive older adults with some medical history have more probability of suffering from long-term illness or certain severe or life-threatening medical conditions
The proposed approach is designed for facilitating remote monitoring services to improve the quality of care of COVID’19 patients
Once the Wireless Sensor Network (WSN) starts collecting the data, the gathered information is sent to the BS for further processing
Summary
COVID’19 positive older adults with some medical history (comorbidity) have more probability of suffering from long-term illness or certain severe or life-threatening medical conditions. They might get terri ed as soon they came to know about their likelihood of being COVID’19 positive. The psychological pressure on these age groups makes them scared, feeling stressed, and depressed. The fear of social isolation and feeling of loneliness may increase their mental stress. A context-aware system for monitoring a patient’s medical and physical conditions receives information. The proposed pervasive context-aware architecture to monitor the patient’s condition uses a fuzzy logic-based context-modelling and reasoning framework.
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