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Erschienen in: Journal of Medical Systems 10/2016

01.10.2016 | Mobile Systems

A Novel Human Body Area Network for Brain Diseases Analysis

verfasst von: Kai Lin, Tianlang Xu

Erschienen in: Journal of Medical Systems | Ausgabe 10/2016

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Abstract

Development of wireless sensor and mobile communication technology provide an unprecedented opportunity for realizing smart and interactive healthcare systems. Designing such systems aims to remotely monitor the health and diagnose the diseases for users. In this paper, we design a novel human body area network for brain diseases analysis, which is named BABDA. Considering the brain is one of the most complex organs in the human body, the BABDA system provides four function modules to ensure the high quality of the analysis result, which includes initial data collection, data correction, data transmission and comprehensive data analysis. The performance evaluation conducted in a realistic environment with several criteria shows the availability and practicability of the BABDA system.
Literatur
1.
Zurück zum Zitat Lin, K, Song, J, Luo, J, Ji, W, Hossain, M, Ghoneim, A: GVT: Green video transmission in the mobile cloud networks.. In: IEEE Transactions on Circuits and Systems for Video Technology (2016) Lin, K, Song, J, Luo, J, Ji, W, Hossain, M, Ghoneim, A: GVT: Green video transmission in the mobile cloud networks.. In: IEEE Transactions on Circuits and Systems for Video Technology (2016)
2.
Zurück zum Zitat Lai, C, Chen, M, Pan, J, Youn, C, Chao, H, A collaborative computing framework of cloud network and WBSN applied to fall detection and 3-D motion reconstruction. IEEE J. Biomed. Health Inf. 18(2):457–466, 2014.CrossRef Lai, C, Chen, M, Pan, J, Youn, C, Chao, H, A collaborative computing framework of cloud network and WBSN applied to fall detection and 3-D motion reconstruction. IEEE J. Biomed. Health Inf. 18(2):457–466, 2014.CrossRef
3.
Zurück zum Zitat Chen, M, Zhang, Y, Li, Y., Hassan, M, Alamri, A, AIWAC: Affective interaction through wearable computing and cloud technology. IEEE Wireless Commun. Mag. 22(1):20–27, 2015.CrossRef Chen, M, Zhang, Y, Li, Y., Hassan, M, Alamri, A, AIWAC: Affective interaction through wearable computing and cloud technology. IEEE Wireless Commun. Mag. 22(1):20–27, 2015.CrossRef
4.
Zurück zum Zitat Zhang, H, Chin, ZY, Ang, KK, Optimum spatio-spectral filtering network for brain computer interface. IEEE Trans. Neural Netw. 22(1):52–63, 2011.CrossRefPubMed Zhang, H, Chin, ZY, Ang, KK, Optimum spatio-spectral filtering network for brain computer interface. IEEE Trans. Neural Netw. 22(1):52–63, 2011.CrossRefPubMed
5.
Zurück zum Zitat Wu, D, Wu, T, Shan, Y: Making human connectome faster: GPU acceleration of brain network analysis. In: IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS), pp. 593–600 (2010) Wu, D, Wu, T, Shan, Y: Making human connectome faster: GPU acceleration of brain network analysis. In: IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS), pp. 593–600 (2010)
6.
Zurück zum Zitat Poh, MZ, Swenson, NC, Picard, RW, A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE Trans. Biomed. Eng. 57(5):1243–1252, 2010.CrossRefPubMed Poh, MZ, Swenson, NC, Picard, RW, A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE Trans. Biomed. Eng. 57(5):1243–1252, 2010.CrossRefPubMed
7.
Zurück zum Zitat Chen, M, NDNC-BAN: Supporting rich media healthcare services via named data networking in cloud-assisted wireless body area networks. Inf. Sci. 284(10):142–156, 2014.CrossRef Chen, M, NDNC-BAN: Supporting rich media healthcare services via named data networking in cloud-assisted wireless body area networks. Inf. Sci. 284(10):142–156, 2014.CrossRef
8.
Zurück zum Zitat Lin, K, Chen, M, Deng, J, Hassan, M, Fortino, G: Enhanced fingerprinting and trajectory prediction for IoT localization in smart buildings. In: IEEE Transactions on Automation Science and Engineering (2016) Lin, K, Chen, M, Deng, J, Hassan, M, Fortino, G: Enhanced fingerprinting and trajectory prediction for IoT localization in smart buildings. In: IEEE Transactions on Automation Science and Engineering (2016)
9.
Zurück zum Zitat Lin, K, Wang, W, Wang, X, Ji, W, Wan, J, QoE-driven spectrum assignment for 5G wireless networks using SDR. IEEE Wireless Commun. 22(6):48–55, 2015.CrossRef Lin, K, Wang, W, Wang, X, Ji, W, Wan, J, QoE-driven spectrum assignment for 5G wireless networks using SDR. IEEE Wireless Commun. 22(6):48–55, 2015.CrossRef
10.
Zurück zum Zitat Chen, M, Gonzalez, S, Vasilakos, A, Cao, H, Leung, V, Body area networks: A survey. ACM/Springer Mobile Netw. Appl. 16(2):171–193, 2011.CrossRef Chen, M, Gonzalez, S, Vasilakos, A, Cao, H, Leung, V, Body area networks: A survey. ACM/Springer Mobile Netw. Appl. 16(2):171–193, 2011.CrossRef
11.
Zurück zum Zitat Wong, KI: Design of a smart phone based body sensor for long-term healthcare monitoring. In: IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1723–1726 (2013) Wong, KI: Design of a smart phone based body sensor for long-term healthcare monitoring. In: IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1723–1726 (2013)
12.
Zurück zum Zitat Zheng, K, Zhang, X, Zheng, Q, Xiang, W, Hanzo, L, Quality-of-experience assessment and its application to video services in LTE networks. IEEE Wireless Commun. 22(1):70–78, 2015.CrossRef Zheng, K, Zhang, X, Zheng, Q, Xiang, W, Hanzo, L, Quality-of-experience assessment and its application to video services in LTE networks. IEEE Wireless Commun. 22(1):70–78, 2015.CrossRef
13.
Zurück zum Zitat Zheng, K, Hou, L, Meng, H, Zheng, Q, Lu, N, Lei, L, Soft-defined heterogeneous vehicular network: architecture and challenges. IEEE Net. 30(4):72–80, 2016.CrossRef Zheng, K, Hou, L, Meng, H, Zheng, Q, Lu, N, Lei, L, Soft-defined heterogeneous vehicular network: architecture and challenges. IEEE Net. 30(4):72–80, 2016.CrossRef
14.
Zurück zum Zitat Kantoch, E, Smolen, M, Augustyniak, P, Kowalski, P, Wireless body area network system based on ECG and accelerometer pattern. Comput. Cardiol.,245–248, 2011. Kantoch, E, Smolen, M, Augustyniak, P, Kowalski, P, Wireless body area network system based on ECG and accelerometer pattern. Comput. Cardiol.,245–248, 2011.
15.
Zurück zum Zitat Bian, Y, Song, M, Zhang, X: An ultra-low-power medium access control protocol for body sensor network. In: IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 76–81 (2015) Bian, Y, Song, M, Zhang, X: An ultra-low-power medium access control protocol for body sensor network. In: IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 76–81 (2015)
16.
Zurück zum Zitat Timmons, NF, and Scanlon, WG: An adaptive energy efficient MAC protocol for the medical body area network.. In: IEEE International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, pp. 587–593 (2009) Timmons, NF, and Scanlon, WG: An adaptive energy efficient MAC protocol for the medical body area network.. In: IEEE International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, pp. 587–593 (2009)
17.
Zurück zum Zitat Omeni, O, Wong, A, Burdett, AJ, Toumazou, C, Energy efficient medium access protocol for wireless medical body area sensor networks. IEEE Trans. Biomed. Circ. Syst. 2(4):251–259, 2008.CrossRef Omeni, O, Wong, A, Burdett, AJ, Toumazou, C, Energy efficient medium access protocol for wireless medical body area sensor networks. IEEE Trans. Biomed. Circ. Syst. 2(4):251–259, 2008.CrossRef
18.
Zurück zum Zitat Ramli, SN, and Ahm, R: Surveying the wireless body area network in the realm of wireless communication. In: IEEE 7th International Conference on Information Assurance and Security (IAS), pp. 58–61 (2011) Ramli, SN, and Ahm, R: Surveying the wireless body area network in the realm of wireless communication. In: IEEE 7th International Conference on Information Assurance and Security (IAS), pp. 58–61 (2011)
19.
Zurück zum Zitat Pantelopoulos, A, and Bourbakis, NG, A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans. Syst. Man Cybern.Part C: Appl. Rev. 40(1):1–12, 2010.CrossRef Pantelopoulos, A, and Bourbakis, NG, A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans. Syst. Man Cybern.Part C: Appl. Rev. 40(1):1–12, 2010.CrossRef
20.
Zurück zum Zitat Kirbas, I, and Bayilmis, C, HealthFace: A web-based remote monitoring interface for medical healthcare systems based on a wireless body area sensor network. J. Electr. Eng. Comput. Sci.,629–638, 2012. Kirbas, I, and Bayilmis, C, HealthFace: A web-based remote monitoring interface for medical healthcare systems based on a wireless body area sensor network. J. Electr. Eng. Comput. Sci.,629–638, 2012.
21.
Zurück zum Zitat Yuce, MR, Implementation of wireless body area networks for healthcare systems. Sensors Actuat. Phys. 162 (1):116–129, 2010.CrossRef Yuce, MR, Implementation of wireless body area networks for healthcare systems. Sensors Actuat. Phys. 162 (1):116–129, 2010.CrossRef
22.
Zurück zum Zitat Patel, M, and Wang, J, Applications, challenges, and prospective in emerging body area networking technologies. Wireless Commun. 17(1):80–88, 2010.CrossRef Patel, M, and Wang, J, Applications, challenges, and prospective in emerging body area networking technologies. Wireless Commun. 17(1):80–88, 2010.CrossRef
23.
Zurück zum Zitat Latre, B, Braem, B, Moerman, I, Blondia, C, Demeester, P, A survey on wireless body area networks. Wireless Netw. 17(1):1–18, 2011.CrossRef Latre, B, Braem, B, Moerman, I, Blondia, C, Demeester, P, A survey on wireless body area networks. Wireless Netw. 17(1):1–18, 2011.CrossRef
Metadaten
Titel
A Novel Human Body Area Network for Brain Diseases Analysis
verfasst von
Kai Lin
Tianlang Xu
Publikationsdatum
01.10.2016
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 10/2016
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-016-0567-5

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