Expert System for Fetal Heart Rate Measuring Devices: Literature Review
Abstract
With the current development of science and technology, many fetal heart rate detection devices have been designed and have become superior in the field of technology. The aim of the literature study is to find out which expert systems have been developed to detect fetal heartbeats. This research method is a literature study, with a search using Evidence Based Practice (EBP) from the Google Scholar data base. There are 10 articles based on searching results using the PICO technique for the last 5 years from 2019-2023. After conducting an article search, 10 research articles were selected that met the inclusion criteria. The results of the analysis found that there are several expert systems that have been developed to detect fetal heartbeats, including: Android-based, Bluetooth low energy, LabVIEW, Telefetalcare system, Blind Source Separation, smartwatch, Demster-Shafer, Phantom, Arduino Uno, and ATMega8 microcontroller. It was concluded that the health sector system had developed a lot.
References
Abadi, W. M. (2023). Kelebihan dan Kekurangan Doppler Flow Meter.
Ahmad Asrori, Wafi, M. K., Pambudi, I. T., & Hasan, O. D. S. (2013). Rancang Bangun Portable Maternal Electrocardiogram Berbasis Blind Source Separation Untuk Monitoring. Conference Paper, 1–5.
Anggraini, D., Widyawati, M. N., & Suryono, S. (2020). Contribution of information technology (IT) system in overcoming neonatal jaundice: A systematic literature review. Journal of Physics: Conference Series, 1524(1). DOI: 10.1088/1742-6596/1524/1/012117
Ashari. (2015). Penerapan Sistem Pakar Untuk Mengidentifikasi Masalah Kehamilan Dengan Metode Dempster-Shafer. Jurrnal Ilmu Komputer, 1(Sistem Pakar), 11–16.
Badan Pusat Statistik. (2023). Hasil Log Form Sensus Penduduk 2020. In Bps.Go.Id (Issue 27).
Chabibah, N., & Laela, E. N. (2017). Perbedaan Frekuensi Denyut Jantung Janin Berdasarkan Paritas Dan Usia Kehamilan. Siklus : Journal Research Midwifery Politeknik Tegal, 6(1), 195–198. DOI: 10.30591/siklus.v6i1.471
Dinas Kesehatan Provinsi Jawa Tengah. (2022). Data Profil Kesehatan Jawa Tengah Tahun 2022. In Kemkes.go.id.
Endjun, J. J., & Affandi, B. (2013). Kardiotokografi (ktg).
Fadilah, A., Aprilina, H. D., & Setiawati, T. (2022). Pengembangan Phantom Antenatal Care Sebagai Media Edukasi Untuk Meningkatkan Keterampilan Pemeriksaan Kehamilan. Jurnal Ilmiah Kesehatan Keperawatan, 18(2), 108. DOI: 10.26753/jikk.v18i2.971
Fajrin, H. R., Maharani, S., & Fitriyah, A. (2021). Simulator Fetal Doppler. Medika Teknika : Jurnal Teknik Elektromedik Indonesia, 2(2). DOI: 10.18196/mt.v2i2.11212
Faradisa, I. S., Sardjono, T. A., & Purnomo, M. H. (2017). Teknologi Pemantauan Kesejahteraan Janin. Seminar Nasional Inovasi Dan Aplikasi Teknologi Di Industri 2017, 1–6. DOI: 10.36040/seniati.v3i1.1769
Gameraddin, M., Abdelmaboud, S., Salih, S., & Alsayed, A. (2015). Relationship Between Fetal Heart Rate And Maternal Blood Pressure And Diabetes Mellitus, And Fetal Sex 2. International Journal of Current Research.
Herhaleness. (2018). Normal Fetal Heart Rate Chart.
Irawan, N. H., Widagda, M. E., & Widiastuti, A. (2021). Pendampingan Keluarga Ibu Hamil dan Pasca Persalinan. Pusat Pendidikan Dan Pelatihan Kependudukan Dan Keluarga Berencana Badan Kependudukan Dan Keluarga Berencana Nasional.
Kurnianingsih, Nugroho, L. E., Widyawan, Lazuardi, L., & Prabuwono, A. S. (2016). Emergency alert prediction for elderly based on supervised learning. 1st International Conference on Biomedical Engineering (IBIOMED). DOI: 10.1109/IBIOMED.2016.7869816
Martinek, R., Kahankova, R., Nazeran, H., Konecny, J., Jezewski, J., Janku, P., Bilik, P., Zidek, J., Nedoma, J., & Fajkus, M. (2017). Non-invasive fetal monitoring: A maternal surface ECG electrode placement-based novel approach for optimization of adaptive filter control parameters using the LMS and RLS algorithms. Sensors (Switzerland), 17(5). DOI: 10.3390/s17051154
Nugroho, E., Wijayanti, & Rahmawati, N. (2023). Laennec Bluetooth Untuk Pemeriksaan Denyut Jantung Janin. 1(2).
Park, Y. G., Lee, S., & Park, J. U. (2019). Recent progress in wireless sensors for wearable electronics. Sensors (Switzerland), 19(20), 1–34. DOI: 10.3390/s19204353
Seah, J. J., Zhao, J., Wang, D. Y., & Lee, H. P. (2023). Review on the Advancements of Stethoscope Types in Chest Auscultation. Diagnostics, 13(9), 1–19. DOI: 10.3390/diagnostics13091545
Signorini, M. G., Fanelli, A., & Magenes, G. (2014). Monitoring fetal heart rate during pregnancy: Contributions from advanced signal processing and wearable technology. Computational and Mathematical Methods in Medicine, 2014. DOI: 10.1155/2014/707581
Siradj, Y. (2016). Smartwatch Potentials for Healtcare. Telekontran, 4(1), 35–41.
Smith, E., Azzopardi, C., Thaker, S., Botchu, R., & Gupta, H. (2021). Power Doppler in musculoskeletal ultrasound: uses, pitfalls and principles to overcome its shortcomings. Journal of Ultrasound, 24(2), 151–156. DOI: 10.1007/s40477-020-00489-0
Tengah, D. P. J. (2019). Profil Kesehatan Provinsi Jawa Tengah.
Titisari, V. D., Melyana Nurul Widyawati, & Kurnianingsih. (2021). Pengukuran Denyut Jantung Janin Pada Ibu Dengan Induksi Persalinan Melalui Pemanfaatan Smartwatch. Poltekes Kemenkes Semarang.
Wang, Y., Doleschel, S., Wunderlich, R., & Heinen, S. (2016). Evaluation of Digital Compressed Sensing for Real-Time Wireless ECG System with Bluetooth low Energy. Journal of Medical Systems., 40(7), 170. DOI: 10.1007/s10916-016-0526-1
Yuan, L., Yuan, Y., Zhou, Z., Bai, Y., & Wu, S. (2019). A fetal ECG monitoring system based on the android smartphone. Sensors (Switzerland), 19(3). DOI: 10.3390/s19030446
Yuvidarmayunata. (2018). Sistem Pakar Berbasis Web Menggunakan Metode Backward Chaining untuk Menentukan Nutrisi Yang Tepat Bagi Ibu Hamil. INTECOMS: Journal of Information Technology and Computer Science, 1(2). DOI: 10.31539/intecoms.v1i2.302.
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