Selected article for: "cost effectiveness and early detection"

Author: Skrivanos, A.; Kosma, E.; Chronopoulos, S. K. K.; Kouretas, I.; Dimopoulos, D.; Petrakos, G.; Alchazidou, E.; Christofilakis, V.; Ziavra, N.; Peppas, K.; Toki, E.
Title: Fetus Heart Rate Monitoring: A Preliminary research study with remote sensing
  • Cord-id: zfgh6vwq
  • Document date: 2021_1_1
  • ID: zfgh6vwq
    Snippet: Currently, hospitals and health care sectors employ low-cost IoT (Internet of Thing) based remote health monitoring systems and labs in order to collect a subjects or patients real-time data. Such a process can be helpful for the early detection of a healthy newborn life and even vital in the case of saving these lives. In this paper, a preliminary implementation of a system monitoring the fetus heart rate has been designed and implemented as a mobile wearable measuring system with remote sensin
    Document: Currently, hospitals and health care sectors employ low-cost IoT (Internet of Thing) based remote health monitoring systems and labs in order to collect a subjects or patients real-time data. Such a process can be helpful for the early detection of a healthy newborn life and even vital in the case of saving these lives. In this paper, a preliminary implementation of a system monitoring the fetus heart rate has been designed and implemented as a mobile wearable measuring system with remote sensing. The proposed implementation turns out to be an efficient combination of simplicity and cost effectiveness and is accompanied with preliminary accurate measurements of fetus heart rate. The developed board uses an ESP-8266 transceiver module and is programmed to transmit the data efficiently to a remote server station using a IEEE 802.11 b/g/n - based wireless network. The patients data can then be monitored using an Android-based or satellite phone, or even any well-known internet browser connected to the specific network certifying in many occasions the health safety distance required due to various situations including that of COVID-19. IEEE

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