IoT Based Low Cost and Ageing Healthcare Monitoring System
K. Navya Sree1, G. Mallikharjuna Rao2

1K. Navya Sree*, M. Tech, CBIT, Osmania University Hyderabad, India.
2G. Mallikharjuna Rao, Department of ECE, Osmania University, Hyderabad, India.
Manuscript received on July 02, 2020. | Revised Manuscript received on July 10, 2020. | Manuscript published on August 30, 2020. | PP: 1-5 | Volume-9 Issue-6, August 2020. | Retrieval Number:  F1192089620/2020©BEIESP | DOI: 10.35940/ijeat.F1192.089620
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Abstract: The world’s older population needs social care, healthy life, and assistive living. The health consciousness, persons care are major challenges for both researchers and industry. Health monitoring systems afford alternatives to the traditional supervision of aged patients. To reduce admissions to hospital for treatment and the cost of recognized health care. To enable disease prevention and associated lifestyle changes. Therefore, the technology has to play a key role to achieve the aspiration. In order to achieve the real-time intensive care challenge of an individual’s health, early interventions and identifying the health conditions are required. In this paperwork, it is proposed to have the knowledge as soon as it causes a heart attack, it is the first step to prevent heart attack or stroke. Usually the fixed health monitoring systems are available only when the patient is lying on the bed in the hospital. This project showcases the implementation of the heartbeat, respiration, blood pressure check, pulse rate, and temperature sensing interfaced to ESP8266. This system development is for the patient at home need to be monitored by family doctor in emergency. Here, the real time patient health information is updated onto the cloud continuously. The data is for further analysis and to monitor the status of health information is retrieved to home devices and to a family doctor in critical conditions. Thus, the system can run effectively and brings a cost-effective design and implementation of data acquisition and manipulation. 
Keywords: Internet of Things, ECG, Respiration, biomedical, blood pressure.