Implement an IoT Mobile Medical Information Micro-system with Voice over Internet Protocol and data transmission security
碩士 === 南臺科技大學 === 電機工程系 === 107 === The Internet of Things (IoT) is the concept that allows objects to become intelligently and interactively connected, and the primary developmental trend for the World Wide Web. However, hospitals and clinics have not become full adopters of the IoT due to the high...
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ndltd-TW-107STUT04420022019-05-16T01:31:54Z http://ndltd.ncl.edu.tw/handle/u86bwx Implement an IoT Mobile Medical Information Micro-system with Voice over Internet Protocol and data transmission security 建置具即時語音通訊與資料傳輸安全性的物聯網行動醫療資訊微系統 CHIU,YI-KAI 邱奕愷 碩士 南臺科技大學 電機工程系 107 The Internet of Things (IoT) is the concept that allows objects to become intelligently and interactively connected, and the primary developmental trend for the World Wide Web. However, hospitals and clinics have not become full adopters of the IoT due to the high standard of medical data protection required of healthcare institutions. The principle of their network utilization is, therefore, isolation by design. Furthermore, popular instant messaging technologies have gradually replaced conventional telecommunication technologies and costs, and have become an essential medium in everyday interaction. This study uses three Raspberry Pi 3 Model B and the SY-3000 6-in-1 biosensor module to build an IoT based mobile microsystem platform for processing medical information, integrating Qt, MQTT, TLS data encryption and VoIP communication technologies. The microsystem is tested for its cross-platform performance, low-energy consumption, low cost, immediate assistance, high security, and extension capability. This study hopes to use these technologies to improve medical personnel efficiency and improve operational procedure clustering and data record formatting. The microsystem also includes an instant audio communication component and can reduce installation cost and space consumption typical of conventional landline telephone systems. This microsystem will first serve hospitals and hospice care institutions, providing nurses stations with wifi-transmitted, simultaneous biosignal monitoring of multiple patients. In particular, the biosignal monitoring used in this microsystem builds on a Raspberry Pi integrated SY-3000 module, which is itself an IoT biosignal monitoring medical instrument. It uses Qt developer-designed user interface to provide text and graphics for medical personnel, and uses MQTT and TLS information security protocol for the transmission link with the nurses station, thereby effectively lower data transmission bandwidth demand and ensure patients' medical data privacy. There is also a second Raspberry Pi that acts as a Micro-Server, integrating MQTT, VoIP, LAMP servers to streamline management. Then a third Raspberry Pi serves as a nurses station dedicated to data management, which would receive biosignals from each ward via MQTT and TLS security protocol, confirm data upload to cloud data server and provide smart device monitoring capability. For patients and their family members, VoIP IV technology further provides communication capability with nurses stations for emergency assistance. Together, this IoT and voice communication system with total tracking and security can establish immediate patient health management and operation with the highest efficiency. CHEN,PEI-JARN 陳培展 2019 學位論文 ; thesis 75 zh-TW |
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碩士 === 南臺科技大學 === 電機工程系 === 107 === The Internet of Things (IoT) is the concept that allows objects to become intelligently and interactively connected, and the primary developmental trend for the World Wide Web. However, hospitals and clinics have not become full adopters of the IoT due to the high standard of medical data protection required of healthcare institutions. The principle of their network utilization is, therefore, isolation by design. Furthermore, popular instant messaging technologies have gradually replaced conventional telecommunication technologies and costs, and have become an essential medium in everyday interaction.
This study uses three Raspberry Pi 3 Model B and the SY-3000 6-in-1 biosensor module to build an IoT based mobile microsystem platform for processing medical information, integrating Qt, MQTT, TLS data encryption and VoIP communication technologies. The microsystem is tested for its cross-platform performance, low-energy consumption, low cost, immediate assistance, high security, and extension capability. This study hopes to use these technologies to improve medical personnel efficiency and improve operational procedure clustering and data record formatting. The microsystem also includes an instant audio communication component and can reduce installation cost and space consumption typical of conventional landline telephone systems.
This microsystem will first serve hospitals and hospice care institutions, providing nurses stations with wifi-transmitted, simultaneous biosignal monitoring of multiple patients. In particular, the biosignal monitoring used in this microsystem builds on a Raspberry Pi integrated SY-3000 module, which is itself an IoT biosignal monitoring medical instrument. It uses Qt developer-designed user interface to provide text and graphics for medical personnel, and uses MQTT and TLS information security protocol for the transmission link with the nurses station, thereby effectively lower data transmission bandwidth demand and ensure patients' medical data privacy. There is also a second Raspberry Pi that acts as a Micro-Server, integrating MQTT, VoIP, LAMP servers to streamline management. Then a third Raspberry Pi serves as a nurses station dedicated to data management, which would receive biosignals from each ward via MQTT and TLS security protocol, confirm data upload to cloud data server and provide smart device monitoring capability. For patients and their family members, VoIP
IV
technology further provides communication capability with nurses stations for emergency assistance. Together, this IoT and voice communication system with total tracking and security can establish immediate patient health management and operation with the highest efficiency.
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author2 |
CHEN,PEI-JARN |
author_facet |
CHEN,PEI-JARN CHIU,YI-KAI 邱奕愷 |
author |
CHIU,YI-KAI 邱奕愷 |
spellingShingle |
CHIU,YI-KAI 邱奕愷 Implement an IoT Mobile Medical Information Micro-system with Voice over Internet Protocol and data transmission security |
author_sort |
CHIU,YI-KAI |
title |
Implement an IoT Mobile Medical Information Micro-system with Voice over Internet Protocol and data transmission security |
title_short |
Implement an IoT Mobile Medical Information Micro-system with Voice over Internet Protocol and data transmission security |
title_full |
Implement an IoT Mobile Medical Information Micro-system with Voice over Internet Protocol and data transmission security |
title_fullStr |
Implement an IoT Mobile Medical Information Micro-system with Voice over Internet Protocol and data transmission security |
title_full_unstemmed |
Implement an IoT Mobile Medical Information Micro-system with Voice over Internet Protocol and data transmission security |
title_sort |
implement an iot mobile medical information micro-system with voice over internet protocol and data transmission security |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/u86bwx |
work_keys_str_mv |
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