Thirumoorthi, C (2021) Monitoring Pregnant Women Health Using Wireless Sensor Network and Greedy Algorithm. Monitoring Pregnant Women Health Using Wireless Sensor Network and Greedy Algorithm, 12 (3). pp. 3259-3266. ISSN 2008-8019

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Abstract

This research work presents an incorporated observing structure for
Pregnant Women Health care in the last three months with the help of a
convenientcardiotocograph and using the body sensors. The strength of the staff have a
valuable tool to noticeirregularities and checkedinopportune events in time. The given
mobile cardiotocograph sends real time correct information to a Smart mobile phone
thatconnects the information in a cloud storage. The real time data should be in
safemanner torecommendadept algorithm for refining the lifetime of wireless sensor
networks in the greedy algorithm approach. It is used to search the number of the active
nodes in the network. The surgeon receive the data usingthe hospital Obg Gynappliance.
The progress of using this system is that the pregnant woman can monitor her pregnancy
status development from her home, and the surgeon receives alarms from the system. If the
received data is abnormal range and has accessibledata about the current health status at
anytime, anywhere and should be in ensure

Item Type: Article
Uncontrolled Keywords: Pregnant Women Health care,Cardiotocography, Fetal Monitoring, Remote Consultation, Greedy Algorithm,Arduino.
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 17 May 2024 06:02
Last Modified: 17 May 2024 06:02
URI: http://ir.psgcas.ac.in/id/eprint/2154

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