IoT-based Pregnant Mother Contraction Monitoring System Design
Indah Sulistiyowati, Muhammadiyah University of Sidoarjo, Indonesia
Mar’ati Amalia Rizqiyah, Muhammadiyah University of Sidoarjo, Indonesia
Abstract
Keywords
Full Text:
PDFReferences
S. A. Abbas, R. Riaz, S. Z. H. Kazmi, S. S. Rizvi, and S. J. Kwon, “Cause Analysis of Caesarian Sections and Application of Machine Learning Methods for Classification of Birth Data,” IEEE Access, vol. 6, pp. 67555–67561, 2018, doi: 10.1109/ACCESS.2018.2879115.
S. AL-Hagree et al., “Decision Tree based Smart System for Pregnant Women Diagno-sis,” in 2022 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE), 2022, pp. 1–6. doi: 10.1109/ITSS-IoE56359.2022.9990953.
G. Wicahyono, A. Setyanto, S. Raharjo, and A. Munandar, “Pregnancy Monitoring Mo-bile Application User Experience Assessment,” in 2019 International Conference on Information and Communications Technology (ICOIACT), 2019, pp. 872–877. doi: 10.1109/ICOIACT46704.2019.8938446.
H. Allahem and S. Sampalli, “Automated uterine contractions pattern detection frame-work to monitor pregnant women with a high risk of premature labour,” Inform Med Unlocked, vol. 20, p. 100404, 2020, doi: https://doi.org/10.1016/j.imu.2020.100404.
A. Bin Queyam, R. K. Meena, S. K. Pahuja, and D. Singh, “An IoT Based Multi-Parameter Data Acquisition System for Efficient Bio-Telemonitoring of Pregnant Women at Home,” in 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2018, pp. 14–15. doi: 10.1109/CONFLUENCE.2018.8442686.
D. Hao et al., “Application of decision tree in determining the importance of surface electrohysterography signal characteristics for recognizing uterine contractions,” Bio-cybern Biomed Eng, vol. 39, no. 3, pp. 806–813, 2019, doi: https://doi.org/10.1016/j.bbe.2019.06.008.
A. A. Falevskaya and Y. O. Bobrova, “The Development of a Web App for Monitoring Fetal Growth,” in 2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), 2022, pp. 1507–1510. doi: 10.1109/ElConRus54750.2022.9755547.
R. Ramprabhu, S. Suresh, K. Latha, and D. Venkatesh, “Virtual Midwife for Pregnant Women and Alert System,” in 2021 4th International Conference on Computing and Communications Technologies (ICCCT), 2021, pp. 574–579. doi: 10.1109/ICCCT53315.2021.9711892.
B. Wiweko et al., “Jakpros: Reproductive Health Education Application for Pregnant Women,” in 2018 International Conference on Advanced Computer Science and In-formation Systems (ICACSIS), 2018, pp. 225–229. doi: 10.1109/ICACSIS.2018.8618206.
Y. Gupta, S. Kumar, and V. Mago, “Pregnancy Health Monitoring System based on Biosignal Analysis,” in 2019 42nd International Conference on Telecommunications and Signal Processing (TSP), 2019, pp. 664–667. doi: 10.1109/TSP.2019.8769074.
T. G. Troyee, M. K. Raihan, and M. S. Arefin, “Health Monitoring of Expecting Mothers using Multiple Sensor Approach: ‘Preg Care,’” in 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), 2020, pp. 77–82. doi: 10.1109/ICAICT51780.2020.9333514.
A. Bagwari and K. Gairola, “An Aid for Health monitoring during pregnancy,” in 2021 10th IEEE International Conference on Communication Systems and Network Technol-ogies (CSNT), 2021, pp. 805–809. doi: 10.1109/CSNT51715.2021.9509654.
L. L. Weitzel, K. G. Howen, B. M. Sibai, S. P. Chauhan, and B. L. Pineles, “iMOVE: a pilot study of a smartphone-based application to encourage ambulation in pregnant In-dividuals,” Am J Obstet Gynecol MFM, vol. 5, no. 8, p. 101037, 2023, doi: https://doi.org/10.1016/j.ajogmf.2023.101037.
S. Sharma et al., “SwasthGarbh: A Smartphone App for Improving the Quality of Ante-natal Care and Ameliorating Maternal-Fetal Health,” IEEE J Biomed Health Inform, vol. 27, no. 6, pp. 2729–2738, 2023, doi: 10.1109/JBHI.2022.3211426.
I. Sulistiyowati and M. Imam Muhyiddin, “Disinfectant Spraying Robot to Prevent the Transmission of the Covid-19 Virus Based on the Internet of Things (IoT),” Journal of Electrical Technology UMY (JET-UMY), vol. 5, no. 2, 2021.
Y. C. Jo, H. N. Kim, W. H. Hwang, H. K. Hong, Y. S. Choi, and S. W. Jung, “Wearable Patch Device for Uterine EMG and Preterm Birth Monitoring Applications,” in TEN-CON 2018 - 2018 IEEE Region 10 Conference, 2018, pp. 1127–1130. doi: 10.1109/TENCON.2018.8650268.
S. Sarafan et al., “Development of a Home-based Fetal Electrocardiogram (ECG) Moni-toring System,” in 2021 43rd Annual International Conference of the IEEE Engineer-ing in Medicine & Biology Society (EMBC), 2021, pp. 7116–7119. doi: 10.1109/EMBC46164.2021.9630827.
Z. Zhang, J. Wu, G. Li, W. Liu, and X. Tang, “Separating fetal ECG from transabdominal electrical signal: An application of AE-UNet3+,” in BIBE 2022; The 6th International Conference on Biological Information and Biomedical Engineering, 2022, pp. 1–5.
B. Wang and J. Saniie, “Fetal Electrocardiogram Recognition Using Multilayer Percep-tron Neural Network,” in 2018 IEEE International Conference on Electro/Information Technology (EIT), 2018, pp. 434–437. doi: 10.1109/EIT.2018.8500232.
R. Ettiyan and V. Geetha, “A Survey of Health Care Monitoring System for Maternity Women Using Internet-of-Things,” in 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020, pp. 1290–1296. doi: 10.1109/ICISS49785.2020.9315950.
K. N. Risnawati, “Gambaran Jenis Persalinan Pada Ibu Bersalin Dengan Corona Virus Disease 19 Di Rumah Sakit Umum Daerah Wangaya Denpasar,” Kebidanan, vol. 1, no. 2, pp. 6–19, 2021.
R. Multajam, W. S. M. Sanjaya, A. Sambas, M. N. Subkhi, and I. Muttaqien, “Desain dan Analisis Electromyography (EMG) serta Aplikasinya dalam Mendeteksi Sinyal Otot,” Al-HAZEN J. Phys., vol. 2, no. 2, pp. 37–47, 2016.
F. T. Abyanto and F. B. Setiawan, “Deteksi Kejenuhan Seluruh Otot Manusia Menggunakan Sensor Emg Berbasis Mikrokontroler Arduino Uno,” pp. 69–74, 2019, doi: 10.5614/sniko.2018.11.
H. H. Abrianto, K. Sari, and I. Irmayani, “Sistem Monitoring Dan Pengendalian Data Suhu Ruang Navigasi Jarak Jauh Menggunakan WEMOS D1 Mini,” J. Nas. Komputasi dan Teknol. Inf., vol. 4, no. 1, pp. 38–49, 2021, doi: 10.32672/jnkti.v4i1.2687.
DOI: https://doi.org/10.21831/jee.v8i1.66465
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Jurnal Edukasi Elektro
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Indexed by:
Supported by:
JURNAL EDUKASI ELEKTRO by Jurusan Pendidikan Teknik Elektro, Fakultas Teknik UNY distributed under a Creative Commons Attribution 4.0 International License based on the copyright of https://journal.uny.ac.id/index.php/jee/.