Title page for etd-0720123-165720


URN etd-0720123-165720 Statistics This thesis had been viewed 30 times. Download 2 times.
Author Chun-Yang Su
Author's Email Address No Public.
Department Institute of Electrical Engineering
Year 2022 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 53
Title Application of Narrow-Band Internet of Things Technol-ogy to Realize Remote Blood Oxygen and heart rate Monitoring
Keyword
  • Raspberry Pi
  • Arduino
  • blood oxygen
  • NB IoT
  • NB IoT
  • blood oxygen
  • Arduino
  • Raspberry Pi
  • Abstract Taiwan is a leading country in information and communication tech-nology (ICT). Various ICT technologies, sensing devices, and applica-tion techniques are flourishing, and their prices are gradually becoming affordable. Various wearable devices combined with communication technologies have become widely used. Over the past three years, the human society has experienced the impact of the pandemic, which has changed the pace of work and life, and has caused tension in people's emotions. As the pandemic eases and various control measures gradually lift, it also prompts us to reflect on how to utilize communication and sensing technologies to self-produce, manage, and apply physiological health data, thereby strengthening the feasibility of autonomous health management.
      The purpose of this paper is to explore the transmission of heart rate and blood oxygen concentration data using NB IoT technology. The system architecture includes Arduino hardware platform, development tool - Arduino IDE, Raspberry Pi, Node-RED graphical control interface, T-SIM7080G-S3 microcontroller, MAX30102 module, and OLED LCD screen display module. After extracting the heart rate and blood oxygen signals through the sensing module, the data is transmitted through the NB IoT module, stored in a cloud server, and directly accessed by a computer for relevant data retrieval.
      The research in this thesis focuses on the feasibility of integrating physiological sensing components, human-machine interfaces, NB IoT transmission, and cloud servers for personal physiological data moni-toring[1]. It also explores the application of NB IoT technology in sce-narios with mobility requirements, where the technology's characteristics such as low cost, portability, low power consumption, and small data volume contribute to the convenience of the devices.
    Advisor Committee
  • Hsi-Chiang Chou - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate access worldwide
    Date of Defense 2023-07-12 Date of Submission 2023-07-20

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