UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 8
August-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2008137


Registration ID:
236108

Page Number

1074-1078

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Title

IOT BASED HEART AND FACE FUNCTION MONITORING FOR HEART DISEASE PREDICTION SYSTEM WITH DOCTORS PRESCRIPTIONS

Abstract

Conventionally the term Health care is considered to be an important determinant to uphold the general physical and mental health and well-being of the people. Currently, this domain combined with technology is to offer better for people across time and place within most care and patient-friendly way. To be of concern with increasing Heart diseases and Heart attack to be the primary cause of death in the world, is mainly due to the sheer negligence of health monitoring, complaining lack of time due to massive workload and pressure. Medically, accurate and exact prediction of the heart problems mainly depends on Electrocardiogram (ECG) data and patient clinical data. The work considers IOT Based Heart Disease Prediction and Monitoring system using raspberry pi 3. It utilizes the Heart rate (Pulse) sensor module to interface to serially communicate to the raspberry pi board. facial video recording by a camera in ambient light. We describe a real-time algorithm to quantify the heartbeat rate from a facial video recording captured by the camera. We extract the green channel from the video using a machine learning algorithm, supported with a GPS module to location information and send it to doctors. It offers security and also facilitates retrieving all the sensor information subjected to a heart condition so as to monitor across time and place over the internet/smart phone. This design is made helpful to Heart patients for determining changes in their health condition and be monitored with regard to face colour and notifying with a patient location for timely help with their concerned cardiologist.

Key Words

Health Domain, IOT, pulse sensor module, Raspberry pi 3, Python.

Cite This Article

"IOT BASED HEART AND FACE FUNCTION MONITORING FOR HEART DISEASE PREDICTION SYSTEM WITH DOCTORS PRESCRIPTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.1074-1078, August-2020, Available :http://www.jetir.org/papers/JETIR2008137.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IOT BASED HEART AND FACE FUNCTION MONITORING FOR HEART DISEASE PREDICTION SYSTEM WITH DOCTORS PRESCRIPTIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp1074-1078, August-2020, Available at : http://www.jetir.org/papers/JETIR2008137.pdf

Publication Details

Published Paper ID: JETIR2008137
Registration ID: 236108
Published In: Volume 7 | Issue 8 | Year August-2020
DOI (Digital Object Identifier):
Page No: 1074-1078
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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