5G 技术在康复医学领域的应用及进展

摘要/Abstract

第 5 代（5G）移动通信技术具有传输速度快、时延低、带宽大、可靠性高、覆盖范围广等特点，它正引领整个医疗领域进行着一场深刻的变革。虽“5G+ 康复”目前尚处于起步阶段，但随着 5G 技术的发展，传统的康复诊疗模式发生了变化，触觉互联网等先进技术在康复领域已崭露头角，这使得远程康复成为了可能。本文旨在对 5G 技术在康复领域中的应用及发展进行综述。

The fifth generation (5G) mobile communication technology has the characteristics of high transmission speed, low delay, large bandwidth, high reliability and wide coverage, which is leading a profound change in the whole medical field. Although 5G + Rehabilitation is still in its infancy, with the development of 5G technology and advanced technologies such as tactile internet, it has lead to the great change of traditional rehabilitation mode. Remote rehabilitation is on the way. This paper aims to summarize the application and development of 5G technology in rehabilitation medicine.

稿件信息

参考文献

[1]Ahad A, Tahir M, Aman Sheikh M, et al. Technologies trend towards 5G network for smart health-care using IoT: a review [J]. Sensors, 2020, 20(14): 4047.

[2]Dananjayan S, Raj G M. 5G in healthcare: how fast will be the transformation? [J/OL]. Ir J Med Sci, 2020.DOI.10.1007/s11845-020-02329-w.

[3]Latif S, Qadir J, Farooq S, et al. How 5G wireless (and concomitant technologies) will revolutionize healthcare?[J]. Future Internet, 2017, 9(4): 93.

[4]Modahl M, Natoli S.Telehealth Index: 2016 Employer Benchmark Survey [DB/OL]. American Well, 2016, URL: http://go.americanwell.com/rs/335-QLG-882/ images/Employer Benchmark-Survey-eBook.pdf.

[5] Hwang W S, Choi Y H. Socio-economic impact of the mHealth adoption in managing diabetes [J]. TechnologyAnalysis & Strategic Management, 2019, 31(7): 791-802.

[6]李佩芳 , 陈佳丽 , 邓悟 , 等 . 5G 在医疗照护中的应用进展 [J]. 华西医学 , 2019, 34(9): 964-967.

[7]贾斐 , 王雪梅 , 汪卫国 . 5G 通信技术在远程医疗中的应用 [J]. 信息通信技术与政策 , 2019, (6): 92-95.

[8]葛芳民 , 李强 , 林高兴 , 等 . 基于 5G 技术院前 - 院内急诊医疗服务平台建设的研究 [J]. 中华急诊医学杂志 , 2019, 28(10): 1223-1227.

[9]李强 , 田雨 , 张旻海 , 等 . 构建基于 5G 通讯技术的大型社会活动医疗急救保障系统 [J]. 中华急诊医学杂志 , 2019, 28(10): 1231-1236.

[10] Wills M J. Decisions through data: Analytics in healthcare [J].Journal of Healthcare Management,2015, 59(4): 254-262.

[11] Jee K, Kim G H. Potentiality of big data in the medicalsector: Focus on how to reshape the healthcare system[J]. Healthcare Informatics Research, 2013, 19(2): 79-85.

[12] Schaeffer C, Haque A, Booton L, et al. Big data management in united states hospitals: Benefits and barriers [C]. In J Sanchez (Ed.), Proceedings of the Business and Health Administration Association Annual Conference, Chicago, IL. April 2016: 129-138.

[13] 朱伟健 . 融合 5G 网络的智慧医疗作用研究 [J]. 科学与信息化 , 2020, (4): 138.

[14] Manyika J, Chui M, Brown B, et al. Big data: the next frontier for innovation, competition, and productivity [EB/OL]. USA: McKinsey Global Institute, 2011, http: //www.mckinsey.com/Insights/MGI/Research/Technology_and_Innovation/Big_data_The_next_frontier_for_innovation.

[15] Latif S, Rana R, Qadir J, et al. Mobile health in the developing world: Review of literature and lessons from a case study [J]. IEEE Access, 2017. DOI: 10.1109/ACCESS.2017.2710800.

[16] Collier M, Fu R, Yin L. Artificial intelligence: healthcare’s new nervous system [EB/OL]. Accenture, 2017. https: //www.accenture.com/_acnmedia/PDF-49/Accenture-Health-Artificial-Intelligence.pdf#zoom=50.

[17] Meshram D A, Patil D D. 5G enabled tactile internet for Tele=Robotic surgery [J]. Procedia Computer Science,2020.DOI:10.1016/j.procs.2020.04.084.

[18] Soldani D. Fighting COVID-19 with 5G enabled technologies [R/OL]. White paper, Huawei Tech nologies, 2020. https: //www.broadband4europe.com/ wp content/uploads/2020/05/Fighting-COVID-19-with-5G-Enabled Technologies.pdf.

[19] Soldani D. Fighting pandemics by exploiting 5G,AI and Bigdata enabled technologies: how 5G can help contain the spread of COVID-19 [J]. Journal of Telecommunications and the Digital Economy, 2020,8(2): 146-158.

[20] 张曼玉 . 5G 时代康复模式将迎来一场革命 [N]. 中国青年报 , 2019-11=29.

[21] Sara Heath. 3 ways social media in healthcare can improve patient engagement [EB/OL]. Patient Engagement Hit, 2016. https: //patientengagementhit. com/news/3-ways-social-media-in-healthcare-can-improve-patient-engagement.

[22] Evariant. The role of social media in healthcare: Benefits & challenges [EB/OL]. Healthgrades, 2019.https: //partners.healthgrades.com/blog/the-evolving=role-of-social-media-in-healthcare.

[23] 彭迎春 . 基于价值共创理念的“互联网 +”下医患关系探讨 [J]. 中华医院管理杂志 , 2019, 35(8): 632-635.

[24] Clancy C M. Patient engagement in health care [J].Health Serv Res, 2011, 46(2): 389-393.

[25] bouteraa Y, Abdallah I B. Robot-assisted remoterehabilitation [C]. 2019 International Conference on Signal, Control and Communication (SCC), Hammamet,Tunisia, 2019: 337-343.

[26] LI X, ZHONG J. Upper limb rehabilitation robot system based on internet of things remote control [J]. IEEE Access, 2020, 8: 154461-154470.

[27] Rossi M, Rizzi A, Lorenzelli L, et al. Remote rehabilitation monitoring with an IoT-enabled embedded system for precise progress tracking [C]. 2016 IEEE International Conference on Electronics, Circuits and Systems (ICECS), Monte Carlo, 2016: 384-387.

[28] Epelde G, Carrasco E, Rajasekharan S, et al. Universal remote delivery of rehabilitation: validation with seniors’ joint rehabilitation therapy [J]. Cybernetics and Systems, 2014, 45(2): 109-122.

[29] Simsek M, Aijaz A, Dohler M, et al. 5G-enabled tactile internet [J]. IEEE Journal on Selected Areas in Communications, 2016, 34(3): 460-473.

[30] Sachs J, Andersson L A A, Araújo J, et al. Adaptive 5G low-latency communication for tactile internet services[J]. Proceedings of the IEEE, 2019, 107(2): 325-349.

[31] Basteris A, Nijenhuis S M, Stienen A H A, et al.Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review [J]. J Neuroeng Rehabil, 2014, 11(1): 111.

[32] Dohler M, Mahmoodi T, Lema M A, et al. Internet of skills, where robotics meets AI, 5G and the Tactile Internet [C]. 2017 European Conference on Networks and Communications (EuCNC), Oulu, 2017: 1-5.

[33] Maier M, Rubio Ballester B, Duff A, et al. Effect of specific over nonspecific VR-based rehabilitation on poststroke motor recovery: a systematic meta-analysis [J]. Neurorehabil Neural Repair, 2019, 33(2): 112-129.

[34] Charles D, Holmes D, Charles T, et al. Virtual reality design for stroke rehabilitation [J]. Adv Exp Med Biol, 2020. DOI: 10.1007/978-3-030-37639-0_4.

[35] 李珊 , 李陶幸子 , 张亚琴 . 虚拟现实在颅脑损伤患者认知障碍康复中的应用进展 [J]. 中国护理管理 ,2020, 20(5): 773-776.

[36] Gupta R, Tanwar S, Tyagi S, et al. Tactile internet and its applications in 5G era: a comprehensive review [J]. International Journal of Communication Systems, 2019,32(14): e3981.

[37] Jones M, Collier G, Reinkensmeyer D J, et al. Big data analytics and sensor-enhanced activity management to improve effectiveness and efficiency of outpatient medical rehabilitation [J]. Int J Environ Res Public Health, 2020, 17(3): 748.

[38] 张亚娜 , 苏玉成 , 李想 , 等 . 基于加速康复外科的科研大数据平台建设 [J]. 中国医疗设备 , 2019, 34(9):105-109.

[39] Rashid S, Razak S A. Big data challenges in 5G Networks [C]. 2019 Eleventh International Conference on Ubiquitous and Future Networks (ICUFN), Zagreb,Croatia, 2019: 152-157.

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