A System for Remote Monitoring of Patient Body Parameters
2021 International Conference on Technological Advancements and Innovations, ICTAI 2021
; : 238-243, 2021.
Article
in English
| Scopus | ID: covidwho-1730984
ABSTRACT
In today's world, life without technology is not possible. Continuous advancement in patient health monitoring techniques, medical equipment's or machines and other enhancing technologies is ongoing as per recent trends in specifically healthcare sector in order to reduce human efforts. Taking into consideration the serious nature of the above aforementioned problem, it is necessary to make some major improvements in the communication devices and systems with application-based technology in order to enhance their performance thereby saving medical costs and achieve other major advantages. The principal objective of this paper is to provide a system for remote and secure monitoring of healthcare information of patient suffering from virus and utilizing a mobile device as per the patient requirements. In this paper, a proposed model measure the temperature of the body, respiratory system especially lung sound and breathing activity, which are the main source of symptoms to understand the actual health condition of a person. And data sensed by the IoT sensor device used for measuring the real-time data body temperature, lung sounds, respiratory data, pulse rate and heartbeat. © 2021 IEEE.
COVID-2019; Indian Council of Medical Research (ICMR); severe acute corona virus-2 (SARS-CoV-2); Wearable Electronic Device (WED); World Health Organization (WHO); Biological organs; Diseases; mHealth; Respiratory system; Wearable technology; Electronics devices; Indian council of medical research; Indian council of medical researches; Lung sounds; Remote monitoring; Wearable electronic device; World Health Organization; SARS
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2021 International Conference on Technological Advancements and Innovations, ICTAI 2021
Year:
2021
Document Type:
Article
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