The Parameter Measurement of Maternal Women and Prenatal with Reminder System Using IOT and Cloud Server
Abstract & Details
Research Area
Computer Engineering
Keywords
IOT
Machine learning
Cloud server
Classification and clustering algorithm
Abstract
The purpose of this paper was to define parameter measurement with reminder system for maternal women and prenatal healthcare in the context of developing countries. IoT is extensively used in all applications. In the maternal women and prenatal monitor and reminder system IoT plays a major role of connecting doctors by using mHealth monitoring devices. The maternal women find this to be very economic and beneficial. There are various methods that monitor the wellbeing of the maternal women and prenatal. Internet of Things (IoT) is expected to play a major role in our lives through pervasive systems of sensor networks encompassing our environment. These systems are designed to monitor vital physical phenomena of maternal women and baby’s generating data which can be transmitted and saved at cloud from where this information can be accessed through applications and further actions can be taken. This project presents the implementation and results of a mHealth monitoring system which employs sensors for women and baby’s parameters measurements. Here we can measure the heart rate, temperature, pressure, glucose level and nutritional level of the maternal women at the same time we can measure the heart rate of the baby. The sensed data is uploaded to cloud storage. If the value obtained from sensors exist the threshold limit (abnormal condition of maternal women or baby) the GSM module automatically send the SMS to respective relative person and doctor. The system employs Arduino uno, Temperature sensor, pressure sensor, heart rate sensor, level sensor and ESP8266 Wi-Fi module.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Selva Sundaram.A | SRM Valliammai Engineering College |
| 2 | Santiya.P | SRM Valliammai Engineering College |
| 3 | Sanjev Kumar.S | SRM Valliammai Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Sundaram.A, Selva, Santiya.P, & Kumar.S, Sanjev (2020). The Parameter Measurement of Maternal Women and Prenatal with Reminder System Using IOT and Cloud Server. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 252-255.
MLA Style
Sundaram.A, Selva, et al. "The Parameter Measurement of Maternal Women and Prenatal with Reminder System Using IOT and Cloud Server." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 252-255.
IEEE Style
Selva Sundaram.A, Santiya.P, and Sanjev Kumar.S, "The Parameter Measurement of Maternal Women and Prenatal with Reminder System Using IOT and Cloud Server," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 252-255, 2020.
Vancouver Style
Sundaram.A Selva, Santiya.P, Kumar.S Sanjev. The Parameter Measurement of Maternal Women and Prenatal with Reminder System Using IOT and Cloud Server. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):252-255.
Harvard Style
Sundaram.A, Selva, Santiya.P, & Kumar.S, Sanjev (2020) 'The Parameter Measurement of Maternal Women and Prenatal with Reminder System Using IOT and Cloud Server', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 252-255.
Chicago Style
Sundaram.A, Selva, Santiya.P, and Sanjev Kumar.S. "The Parameter Measurement of Maternal Women and Prenatal with Reminder System Using IOT and Cloud Server." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 252-255.
Turabian Style
Sundaram.A, Selva, Santiya.P, and Sanjev Kumar.S. "The Parameter Measurement of Maternal Women and Prenatal with Reminder System Using IOT and Cloud Server." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 252-255.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable