Smart IoT-Enabled Cloud-Fuzzy System for Remote Monitoring of Infected Patients
Overview & Synopsis
Health is the cornerstone for overall well-being, influencing various aspects of life. With the emergence of pandemic-prone diseases, physical and mental health have also been affected. Covid-19, the recent global emergency has devastated the entire world and even today people’s physical and psychological well-being has deteriorated by this pandemic. In these tough times, technology and its innovations have contributed to the management of pandemic-prone diseases. In light of this, the current work concentrates on Internet of Things (IoT) enabled cloud-fuzzy expert systems to assess the severity levels of the infected patients. These severity levels can vary from mild, to moderate, severe, and critical. The vital data is acquired from the patients through wearable healthcare devices every five-minute intervals. If the patient’s health worsens, the doctors and the patient’s family will be notified. This severity level identification system can be a solution to precisely monitor the patient’s health conditions during pandemic-prone diseases like covid-19.
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Document Information
| Document Title | Smart IoT-Enabled Cloud-Fuzzy System for Remote Monitoring of Infected Patients |
|---|---|
| Author / Organization | Antonis C. Simintiras, Aditika Tungal, Kuldeep Singh, Prabhsimran Singh |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2023 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-92573 |
| Original Source Link | Visit Source Page on hal.science » |