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智慧健康研究综述: 从云端到边缘的系统(17)

来源:智慧健康 【在线投稿】 栏目:期刊导读 时间:2020-07-15
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摘要:[63]Khan U M, Kabir Z, Hassan S A. Wireless health monitoring using passive WiFi sensing[C] //Proc of the 13th Int Wireless Communications and Mobile Computing Conf. Piscataway, NJ: IEEE, 2017: 1771-1

[63]Khan U M, Kabir Z, Hassan S A. Wireless health monitoring using passive WiFi sensing[C] //Proc of the 13th Int Wireless Communications and Mobile Computing Conf. Piscataway, NJ: IEEE, 2017: 1771-1776

[64]Tan Bo, Chen Qingchao, Chetty K, et al. Exploiting WiFi channel state information for residential healthcare informatics[J]. IEEE Communications Magazine, 2018, 56(5): 130-137

[65]Zhang Fan, Zhang Yanqing, Silver J, et al. A batteryless 19μW MICS/ISM-band energy harvesting body area sensor node SoC[C] //Proc of the IEEE Int Solid-State Circuits Conf. Piscataway, NJ: IEEE, 2012: 298-300

[66]Cho N, Bae J, Yoo H J. A 10.8mW body channel communication/MICS dual-band transceiver for a unified body sensor network controller[J]. IEEE Journal of Solid-State Circuits, 2009, 44(12): 3459-3468

[67]Yoo J, Yan Long, Lee S, et al. A 5.2 mW self-configured wearable body sensor network controller and a 12μW 54.9% efficiency wirelessly powered sensor for continuous health monitoring system[C] //Proc of the IEEE Int Solid-State Circuits Conf. Piscataway, NJ: IEEE, 2009: 290-300

[68]Gope P, Hwang T. BSN-Care: A secure IoT-based modern healthcare system using body sensor network[J]. IEEE Sensors Journal, 2016, 16(5): 1368-1376

[69]Bao Shudi, Poon C C Y, Zhang Yuanting, et al. Using the timing information of heartbeats as an entity identifier to secure body sensor network[J]. IEEE Transactions on Information Technology in Biomedicine, 2008, 12(6): 772-779

[70]Fortino G, Giannantonio R, Gravina R, et al. Enabling effective programming and flexible management of efficient body sensor network applications[J]. IEEE Transactions on Human-Machine Systems, 2013, 43(1): 115-133

[71]Lo B P L, Thiemjarus S, King R, et al. Body sensor network—A wireless sensor platform for pervasive healthcare monitoring[C] //Proc of the 3rd Int Conf on Pervasive Computing. Berlin: Springer, 2005: 70-88

[72]Hossain M S, Muhammad G. Cloud-assisted industrial Internet of things (IIoT)—Enabled framework for health monitoring[J]. Computer Networks, 2016, 101: 192-202

[73]Muhammad G, Rahman S K M M, Alelaiwi A, et al. Smart health solution integrating IoT and cloud: A case study of voice pathology monitoring[J]. IEEE Communications Magazine, 2017, 55(1): 69-73

[74]Lin Borshing, Chou Naikuan, Chong Fokching, et al. RTWPMS: A real-time wireless physiological monitoring system[J]. IEEE Transactions on Information Technology in Biomedicine, 2006, 10(4): 647-656

[75]Sun Mingui, Burke L E, Mao Zhihong, et al. eButton: A wearable computer for health monitoring and personal assistance[C] //Proc of the 51st Annual Design Automation Conf. New York: ACM, 2014: 1-6

[76]Melillo P, Orrico A, Scala P, et al. Cloud-based smart health monitoring system for automatic cardiovascular and fall risk assessment in hypertensive patients[J]. Journal of Medical Systems, 2015, 39(10): 109-115

[77]Leijdekkers P, Gay V. A self-test to detect a heart attack using a mobile phone and wearable sensors[C] //Proc of the 21st IEEE Int Symp on Computer-Based Medical Systems. Piscataway, NJ: IEEE, 2008: 93-98

[78]Pandian P S, Mohanavelu K, Safeer K P, et al. Smart vest: Wearable multi-parameter remote physiological monitoring system[J]. Medical Engineering & Physics, 2008, 30(4): 466-477

[79]Di Rienzo M, Rizzo F, Parati G, et al. MagIC system: A new textile-based wearable device for biological signal monitoring. Applicability in daily life and clinical setting[C] //Proc of the 27th IEEE Engineering in Medicine and Biology Annual Conf. Piscataway, NJ: IEEE, 2005: 7167-7169

[80]Wang Aosen, Chen Lizhong, Xu Wenyao. XPro: A cross-end processing architecture for data analytics in wearables[C] //Proc of the 44th Annual Int Symp on Computer Architecture. New York: ACM, 2017: 69-80

[81]Mohammed J, Lung C H, Ocneanu A, et al. Internet of things: Remote patient monitoring using Web services and cloud computing[C] //Proc of the IEEE Int Conf on Internet of Things. Piscataway, NJ: IEEE, 2014: 256-263

[82]Sebestyen G, Hangan A, Oniga S, et al. eHealth solutions in the context of Internet of things[C] //Proc of the IEEE Int Conf on Automation, Quality and Testing, Robotics. Piscataway, NJ: IEEE, 2014: 1-6

[83]Wu Xindong, Ye Mingquan, Hu Donghui, et al. Pervasive medical information management and services: Key techniques and challenges[J]. Chinese Journal of Computers, 2012, 35(5): 827-845 (in Chinese)(吴信东, 叶明全, 胡东辉, 等. 普适医疗信息管理与服务的关键技术与挑战[J]. 计算机学报, 2012, 35(5): 827-845)

[84]B?hme R, Christin N, Edelman B, et al. Bitcoin: Economics, technology, and governance[J]. Journal of Economic Perspectives, 2015, 29(2): 213-238

[85]Dagher G G, Mohler J, Milojkovic M, et al. Ancile: Privacy-preserving framework for access control and interoperability of electronic health records using blockchain technology[J]. Sustainable Cities and Society, 2018, 39: 283-297

[86]Liang Xueping, Zhao Juan, Shetty S, et al. Integrating blockchain for data sharing and collaboration in mobile healthcare applications[C] //Proc of the 28th IEEE Annual Int Symp on Personal, Indoor, and Mobile Radio Communications. Piscataway, NJ: IEEE, 2017: 1-5

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