UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 7 Issue 2
February-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2002105


Registration ID:
227714

Page Number

745-747

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Title

Human Health Monitoring System Using Raspberry Pi3 And Labview

Abstract

In this paper Continuous monitoring of critical patients and their biological parameters are transmitted to doctor’s console, and doctor’s domain address in person using Internet of Things technology (IoT). The design involves measurement of all critical parameters of patients using sensors. Vital parameters measured are temperature, respiration, and pulse rate, humidity and oxygen saturation level using dht11 sensor, MQ sensor, pulse sensor and pulse oximeter sensor. The input sensors are interfaced with an Arduino board and then the signals are transferred to the Raspberry Pi controller and the vital parameters are transmitted to the centralized monitor, where the front end is designed using Lab VIEW software. Using IoT, physicians are notified about the sudden change in patient’s condition and the critical readings of the patient are sent to the doctor’s domain address through IoT. Thus, critical patients can be monitored by the doctors from wherever they are, enabling more care and attention towards the patient’s health by the doctor

Key Words

PMS (Patient Monitoring System), ICU (Intensive Care unit), ECG (electrocardiograph)

Cite This Article

"Human Health Monitoring System Using Raspberry Pi3 And Labview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.745-747, February-2020, Available :http://www.jetir.org/papers/JETIR2002105.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

"Human Health Monitoring System Using Raspberry Pi3 And Labview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp745-747, February-2020, Available at : http://www.jetir.org/papers/JETIR2002105.pdf

Publication Details

Published Paper ID: JETIR2002105
Registration ID: 227714
Published In: Volume 7 | Issue 2 | Year February-2020
DOI (Digital Object Identifier):
Page No: 745-747
Country: Aurangabad, Maharashtra, India .
Area: Medical Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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