Network Design for Wireless Multi-leads ECG System Based on Bluetooth Low Energy
碩士 === 國立交通大學 === 網路工程研究所 === 105 === A 100 percent wireless electrocardiography (ECG) system is prototyped and presented in this paper. Our wireless ECG system is composed of three wireless ECG sensor patches, a Bluetooth Low Energy (BLE) gateway, and a Google cloud platform. In this network archit...
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ndltd-TW-105NCTU57260162017-09-05T04:21:45Z http://ndltd.ncl.edu.tw/handle/89031985688042200403 Network Design for Wireless Multi-leads ECG System Based on Bluetooth Low Energy 基於低功率藍⽛通訊協定之無線多導極⼼電圖系 統的網路設計 Huang, Yu-Long 黃裕隆 碩士 國立交通大學 網路工程研究所 105 A 100 percent wireless electrocardiography (ECG) system is prototyped and presented in this paper. Our wireless ECG system is composed of three wireless ECG sensor patches, a Bluetooth Low Energy (BLE) gateway, and a Google cloud platform. In this network architecture, the three ECG sensor patches which act as slaves and the BLE gateway which acts as master form a wireless body area network (WBAN). To archive this, time resource of master split into two phases: control phase and data phase. Master establishes connections with slaves to form the WBAN in the control phase and performs time synchronization as well as sensing data collection in the data phase. However, there is a challenge on time allocation between control phase and data phase, because the interval of control phase affects the number of WBAN which master can connect in a superframe. Therefore, we design an analysis model to analyze the connection delay of slaves in control phase to allocate time resource effectively. We use MATLAB to simulate the environment of Bluetooth Low Energy, and then compare the simulation results with our analysis results. Our analysis results are accurate because the error rate is 2%-3%. Finally, we can obtain the number of connected WBAN by time allocation algorithm after we get the connection delay from analysis model. Chao, Hsi-Lu 趙禧綠 2017 學位論文 ; thesis 43 zh-TW |
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碩士 === 國立交通大學 === 網路工程研究所 === 105 === A 100 percent wireless electrocardiography (ECG) system is prototyped and presented
in this paper. Our wireless ECG system is composed of three wireless ECG sensor patches,
a Bluetooth Low Energy (BLE) gateway, and a Google cloud platform. In this network
architecture, the three ECG sensor patches which act as slaves and the BLE gateway
which acts as master form a wireless body area network (WBAN). To archive this, time
resource of master split into two phases: control phase and data phase. Master establishes
connections with slaves to form the WBAN in the control phase and performs time
synchronization as well as sensing data collection in the data phase. However, there is a
challenge on time allocation between control phase and data phase, because the interval
of control phase affects the number of WBAN which master can connect in a superframe.
Therefore, we design an analysis model to analyze the connection delay of slaves in control
phase to allocate time resource effectively. We use MATLAB to simulate the environment
of Bluetooth Low Energy, and then compare the simulation results with our analysis results.
Our analysis results are accurate because the error rate is 2%-3%. Finally, we can
obtain the number of connected WBAN by time allocation algorithm after we get the
connection delay from analysis model.
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author2 |
Chao, Hsi-Lu |
author_facet |
Chao, Hsi-Lu Huang, Yu-Long 黃裕隆 |
author |
Huang, Yu-Long 黃裕隆 |
spellingShingle |
Huang, Yu-Long 黃裕隆 Network Design for Wireless Multi-leads ECG System Based on Bluetooth Low Energy |
author_sort |
Huang, Yu-Long |
title |
Network Design for Wireless Multi-leads ECG System Based on Bluetooth Low Energy |
title_short |
Network Design for Wireless Multi-leads ECG System Based on Bluetooth Low Energy |
title_full |
Network Design for Wireless Multi-leads ECG System Based on Bluetooth Low Energy |
title_fullStr |
Network Design for Wireless Multi-leads ECG System Based on Bluetooth Low Energy |
title_full_unstemmed |
Network Design for Wireless Multi-leads ECG System Based on Bluetooth Low Energy |
title_sort |
network design for wireless multi-leads ecg system based on bluetooth low energy |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/89031985688042200403 |
work_keys_str_mv |
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