Smart Incubator System for Baby Growth Monitoring

Authors

  • Dr. T. S. UdhayaSuriya  HOD, Department of Biomedical Engineering, Adhiyamaan College of Engineering (Autonomous), Dr. M. G. R. Nagar, Hosur, Tamil Nadu, India
  • M. Rathna Devi  Student, Department of Biomedical Engineering, Adhiyamaan College of Engineering (Autonomous), Dr. M. G. R. Nagar, Hosur, Tamil Nadu, India
  • V. Indira Priyadarshini  Student, Department of Biomedical Engineering, Adhiyamaan College of Engineering (Autonomous), Dr. M. G. R. Nagar, Hosur, Tamil Nadu, India
  • R. Umamaheshwari  Student, Department of Biomedical Engineering, Adhiyamaan College of Engineering (Autonomous), Dr. M. G. R. Nagar, Hosur, Tamil Nadu, India

Keywords:

Microbial Detection, Growth Changes, Neonatal Monitoring, Cloud Storage, Data Privacy

Abstract

Significant progress in development of neonatal incubators are providing various advancement for baby monitoring. Babies in the gestation period of 32 to 37 weeks result in death due to lacking of essential care. However, the proposed device permits the early detection and consequent changes occurring in the neonates. Analysis of growth during the treatment period, detection of microbes in the incubator, humidity, temperature is done and measured parameters are stored in cloud. Immediate outputs are displayed in the LCD display itself. The proposed system assures the privacy of data.

References

  1. Debashish De, Anwesha Mukherjee, Archeparchs Sau and Ishita Bhakta ‘14 Design of smart neonatal health monitoring system using SMCC’, IET Journals &Magazines, vol.4, no.1, pp.13-19,2007.
  2. Ashish. B ‘Temperature monitored IoT based Smart incubator’, International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), pp.497-501,2008.
  3. Aslam Farhadi Symon, Anzia Hassan, Humayun Rashid, Iftekhar Uddin Ahmed and S M Tashima Reza, ‘Design and development of a smart baby monitoring system based on Raspberry Pi and Pi camera’, 4th International Conference on Advances in Electrical Engineering (ICAEE), pp. 117 – 122,2012.
  4. Dr.T.S.UdhayaSuriya,“ An Adaptive generalized predictive control for temperature and humidity inside an incubator”,. International conference for scientific research and development on Advances in Biomedical Engineering , 2015.

Downloads

Published

2020-03-05

Issue

Section

Research Articles

How to Cite

[1]
Dr. T. S. UdhayaSuriya, M. Rathna Devi, V. Indira Priyadarshini, R. Umamaheshwari, " Smart Incubator System for Baby Growth Monitoring, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 5, pp.117-119, March-April-2020.