Intelligent Remote Medical Care System by Use of a Multiple of Network Protocol Integration

Abstract:

Remote medical care system is a challenge to overcome time and space. In this study, the key is to how to correct the measurement signal is sent to a remote medical center, to allow doctors to carry out an initial diagnosis, and track the history of the disease. The proposed remote system is built on the integration of ecological multiple network protocols. These integrated network protocols, including TCP / IP, ZigBee, of RFID, and Bluetooth signals. This thesis is to use the Arduino hardware in the Mega 2560 as the integrated controller. Through the program drive the TX and RX coding, this study proposes a very efficient way to complete a multi-protocol integration of intelligent control. Finally, the simulation of remote medical devices to measure a patient's physical condition, including ECG, blood oxygen concentration, blood pressure and respiratory rate, and through Wi-Fi network traffic control, do the use of an integrated, intelligent home appliances and ZigBee.

• Periodical: Applied Mechanics and Materials (Volume 404)
• Pages: 707-712
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.404.707
• Online since: September 2013
• Authors: Kuang Yow Lian, Sung Jung Hsiao, Wen Tsai Sung
• Keywords: Arduino, Bluetooth, Radio Frequency Identification (RFID), TCP/IP, Wi-Fi, ZigBee

References

[1] Chia-Hung Lien, Ying-Wen Bai, and Ming-Bo Lin, Remote-Controllable Power Outlet System for Home Power Management, IEEE Transactions on Consumer Electronics, Vol. 53, No. 4, Nov. (2007).

DOI: 10.1109/isce.2006.1689468

[2] Hamit Erdem and Armagan Üner, A Multi-Channel Remote Controller For Home and Office Appliances, IEEE Transactions on Consumer Electronics, Vol. 55, No. 4, NOVEMBER (2009).

DOI: 10.1109/tce.2009.5373786

[3] Yuksekkaya, B.; Kayalar, A.A.; Tosun, M.B.; Ozcan, M.K.; Alkar, A.Z.; A GSM, internet and speech controlled wireless interactive home automation system, IEEE Transactions on Consumer Electronics, Vol. 52, Issue 3, Aug (2006) , pp.837-843.

DOI: 10.1109/tce.2006.1706478

[4] Chia-Hung Lien, Ying-Wen Bai, Ming-Bo Lin, Remote Controllable Power Outlet System for Home Power Management, IEEE Trans. Consumer Electron. vol. 53, Nov (2007), pp.1634-1641.

DOI: 10.1109/isce.2006.1689468

[5] Scott Vernon and Sanjay S. Joshi, Senior Member, IEEE Brain–Muscle–Computer Interface: Mobile-Phone Prototype Development and Testing, IEEE Transactions on Information Technology In Biomedicine, Vol. 15, Jul. (2011), No. 4.

DOI: 10.1109/titb.2011.2153208

[6] Lin Zhu; Fu-Lai Chung; Shitong Wan, Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions, Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Vol. 39, Issue: 3, Jun. (2009), p.578 – 591.

DOI: 10.1109/tsmcb.2008.2004818

[7] Duo Liu; Chung-Horng Lung P2P traffic identification and optimization using fuzzy c-means clustering, Fuzzy Systems (FUZZ), 2011 IEEE International Conference on, Jun. (2011), pp.2245-2252, 27-30.

DOI: 10.1109/fuzzy.2011.6007613

[8] Hamasuna, Y.; Endo, Y.; Miyamoto, S., Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints, Granular Computing (GrC), 2010 IEEE International Conference on, Aug. (2010), pp.188-193, 14-16.

DOI: 10.1109/grc.2010.149