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PREDICTION AND ANALYSIS REAL-TIME IOT-BASED HEALTH CARE MONITORING.
Publication year - 2020
Publication title -
international journal of engineering, sciences and research technology
Language(s) - English
Resource type - Journals
ISSN - 2277-9655
DOI - 10.29121/ijesrt.v9.i6.2020.7
Subject(s) - flexibility (engineering) , reliability (semiconductor) , remote patient monitoring , computer science , wireless , health care , real time computing , reliability engineering , embedded system , medical emergency , medicine , telecommunications , engineering , statistics , nursing , power (physics) , physics , mathematics , quantum mechanics , economics , economic growth
Care of critically ill patient, requires spontaneous & accurate decisions so that life protecting & lifesaving therapy can be properly applied. Statistics reveal that every minute a human is losing his or her life across the globe. More close in India, everyday many lives are affected by heart attacks and more importantly because the patients did not get timely and proper help .This paper is based on monitoring of patients. We have designed and developed a reliable, energy efficient patient monitoring system. It is able to send parameters of patient in real time. It enables the doctors to monitor patient health parameters in real time. Here the parameters of patient are measured continuously and wirelessly transmitted using Zigbee. The project provides a solution for enhancing the reliability and flexibility by improving the performance and patient monitoring system. In the current proposed system the patient health is continuously monitored and the acquired data is analyzed at a centralized system. If a particular patient health parameter falls below the threshold value, a. Here, we are using Zigbee for wireless transmission. The Doctor can get are cord of a particular information by just accessing the database of the patient on his PC which is continuously updated through Zigbee receiver module.

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