2023, Volume 7 Issue 3
IOT Based Pregnant Woman Health Monitoring System
AUTHOR(S)
B Niranjana devi, Ajay Raji, Basil kuriakose, Navaneeth Raj Kb, Rohith vijay
DOI: https://doi.org/10.46647/ijetms.2023.v07i03.007
ABSTRACT
The developing countries such as India has more population in the rural areas than urban areas. The people in those areas are not aware of new health issues, and they are not amalgamated for sharing their medical information. In some rural areas the pregnant women are unable to do their normal check-ups during their pregnancy time. This can cause risk in the life of both mother and the child. Due this inefficiency, the number death count of new are more compared to the urban areas. As a remedy for this a situation we are suggesting a system, that contain an accelerometer sensor is designed to measure the kike/force by the fetus and it is transfer to the ARDUINO UNO controller. Movement of the baby and some vital parameter such as Blood pressure, Heartbeat rate, temperature of the mother is measured using various types of sensors. The measured parameters are transmitted by IoT and is displayed. This system is a portable system and can be used in home by the women by their self. Another implementation way in the rural area is by giving the system to the nurse who work in the primary health centre in that particular area. Ultra sound scanning is used now a day, which is expensive which cannot be affordable for the poor in the rural areas. The parameter are recorded and can be used for future medical examination. We use IoT module to calculate the normal and abnormal rate and also enable the gynaecologist to access the date from the cloud
Page No: 55 - 59
References:
1.A Survey of Health Care Monitoring System for Maternity Women Using IoT
Rajkumar Ettiyan, Geetha. V, Research Scholar, Department of Computer Science and Engineering, Puducherry Technological University Puducherry, India.
2. Pregnancy Mapping and Monitoring Web Based Geographic’s Information SystemArief Munandar, Arief Setyanto, Suwanto Raharjo, Gunawan Wicahyono, Universitas Amikom Yogyakarta Yogyakarta.
3. Method and System for Estimation of Total Protein Concentration in a Urine Samplefor Early Diagnosis of Pregnancy Complications.
P. Korneeva, Chair of biotechnical systems and technology, Saint Petersburg State Electrotechnical University "LETI" St. Petersburg.
4. Survey on IoT Based Pregnant Women Health Monitoring System
Rajkumar Ettiyan, Geetha. Research Scholar Department of Computer Science and Engineering Puducherry Technological University Puducherry
5. Smart ASHA Pregnancy Monitoring System Nandakishor D Valakunde, Sangeeta Kumari, Purva S Kulkarni, Shital B Jumbad, Sharvari S Chavan, Payal B Shah, Asra J Ustad, Department of Computer Engineering, Vishwakarma Institute of Technology, Pune
6.Barakat, R.; Pelaez, M.; Lopez, C.; Montejo, R.; Coteron, J. Exercise during pregnancy reduces the rate of cesarean and instrumental deliveries: Results of a randomized controlled trial. J. Matern.-Fetal Neonatal Med. 2012, 25, 2372–2376. [CrossRef] [PubMed]
7. Nascimento, S.L.; Surita, F.G.; Godoy, A.C.; Kasawara, K.T.; Morais, S.S. Physical activity patterns and factors related to exerciseduring pregnancy: A cross sectional study. PLoS ONE 2015, 10, e0128953.
8. Coll, C.d.V.N.; Domingues, M.R.; Hallal, P.C.; da Silva, I.C.M.; Bassani, D.G.; Matijasevich, A.; Barros, A.; Santos, I.S.; Bertoldi, A.D. Changes in leisure-time physical activity among Brazilian pregnant women: Comparison between two birth cohort studies
(2004–2015). BMC Public Health 2017, 17, 119. [CrossRef] [PubMed]
9.Yang, Y.; Mao, J.; Ye, Z.; Zeng, X.; Zhao, H.; Liu, Y.; Li, J. Determinants of sleep quality among pregnant women in China: Across-sectional survey. J. Matern.-Fetal Neonatal Med. 2018, 31, 2980–2985. [CrossRef]
10. Mindell, J.A.; Cook, R.A.; Nikolovski, J. Sleep patterns and sleep disturbances across pregnancy. Sleep Med. 2015, 16, 483–488. [CrossRef]
11. Felder, J.N.; Baer, R.J.; Rand, L.; Jelliffe-Pawlowski, L.L.; Prather, A.A. Sleep disorder diagnosis during pregnancy and risk of preterm birth. Obstet. Gynecol. 2017, 130, 573–581. [CrossRef]
12. Herring, S.J.; Nelson, D.B.; Pien, G.W.; Homko, C.; Goetzl, L.M.; Davey, A.; Foster, G.D. Objectively measured sleep duration and hyperglycemia in pregnancy. Sleep Med. 2014, 15, 51–55. [CrossRef] [PubMed]
How to Cite This Article:
B Niranjana devi, Ajay Raji, Basil kuriakose, Navaneeth Raj Kb, Rohith vijay
.IOT Based Pregnant Woman Health Monitoring System
. ijetms;7(3):55-59. DOI: 10.46647/ijetms.2023.v07i03.007