Intelligent remote health monitoring system

Autor:	Mahasweta Ghosh, Soma Barman Mandal, Samik Basu
Rok vydání:	2020
Předmět:	business.industry Computer science education Health condition Cloud computing Monitoring system Computer security computer.software_genre Health indicator Upload The Internet business Internet of Things computer Vital sign monitoring
Zdroj:	International Journal of Information Technology, Communications and Convergence. 3:259
ISSN:	2042-3225 2042-3217
DOI:	10.1504/ijitcc.2020.10034642
Popis:	With more than 45% of WHO member states failing to achieve the WHO standard of 1:1000 doctor to patient ratio; under current scenario intelligent and remote self-health monitoring becomes too vital for regular health monitoring of people. Rural people have even less doctor to patient ratio than urban people and so cost-effective intelligent vital sign monitoring system becomes even more essential. In our proposed system, we have used sensors to monitor vital health parameters like heart rate, SpO2 and body temperature and upload this information to the cloud server, using IoT platform, for remote access to the doctors. In case of non-availability of internet services, the proposed system is capable of predicting the cardiac health condition of the person independently by using machine learning algorithm. E-mail and health indicator unit alert the person at the remote-end and system-end respectively in case of emergencies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3282fa1162f206a235a440a5483fc6bf https://doi.org/10.1504/ijitcc.2020.10034642 Zobrazit plný text záznamu