UGC Approved Journal no 63975(19)

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1906347


Registration ID:
214308

Page Number

392-399

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Title

ESTIMATION OF BLOOD PRESSURE USING REGRESSION MODEL

Authors

Abstract

Today Health Monitoring has become one of the significant areas to focus upon because of humans are becoming more vulnerable to various kinds of diseases. One of the significant reasons that lead to increased number of deaths every year worldwide is cardiovascular illness. An abnormal high blood pressure or hypertension leads to cardiovascular illness. When the blood circulates in the body it applies a certain force on the blood vessels which is measured as Blood Pressure .Wireless Body Area Network helps in monitoring of a person’s healthcare continuously. WBAN is a special purpose sensor network that provides continuous health monitoring of a person through nano/bio sensors. The device known as sphygmomanometer is commonly used to measure blood pressure. But with the growth in IOT and wearable devices the demand of measuring Blood Pressure indirectly (without inflation, deflation of cuff) is increasing day by day. To estimate the Blood Pressure indirectly and in a non invasive manner a method based on Linear Regression has been proposed. Initially the kind of relationship between the R peaks of the ECG Signal with the Arterial Blood Pressure is deduced using correlation. Finally regression is applied to estimate blood pressure.

Key Words

Wireless Body Area Network (WBAN) , Correlation , Regression , Blood Pressure, Electrocardiograph (ECG)

Cite This Article

"ESTIMATION OF BLOOD PRESSURE USING REGRESSION MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.392-399, June-2019, Available :http://www.jetir.org/papers/JETIR1906347.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

"ESTIMATION OF BLOOD PRESSURE USING REGRESSION MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp392-399, June-2019, Available at : http://www.jetir.org/papers/JETIR1906347.pdf

Publication Details

Published Paper ID: JETIR1906347
Registration ID: 214308
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 392-399
Country: FARIDABAD, HARYANA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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