Internet of Things based Heart Beat Monitoring System
Karhale Deepali B1, Thorat Suryakant B2
1Mrs. Karhale Deepali B, Reasearch Scholar, at S. R. T. M. University, Nanded. Maharashtra, India.
2Dr. Thorat Suryakant B, Director SSBES’S ITM College, Nanded. Maharashtra, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 1016-1022 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B2982129219/2020©BEIESP | DOI: 10.35940/ijeat.B2982.129219
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Healthcare is an area that is rapidly developing in technology and services. A recent development in this area is remote monitoring of patients which has many advantages in a fast aging world population with increasing health complications. The Internet of Thongs (IOT) plays important role to monitor patient health remotely. With help of Arduino Microcontroller, Wifi module and sensors this can be possible. Sensors for monitoring essential vital signs such as electrocardiogram reading, heart rate, respiration rate, blood pressure, temperature, blood glucose levels and neural system activity are available today. Humans are facing a retardant of surprising death because of varied sickness that is because lack of medical aid to the patients at right time. Most of death happened due to right treatment at right time. With the help of technology only now it can be possible to minimize such death. The fetched data through sensors which is attached to human body can be retrieved and store on Thing Speak cloud is used here. The Doctors can view patient’s medical records remotely, recommend or prescribe drug, request for ambulance or visit patient based on data being sent from the monitoring system [13].
Keywords: Thing Speak, WHO, RTMS, PMS, ECG.