CJRTP

Chinese Journal of Rehabilitation Theory and Practice >

2019 , Vol. 25 >Issue 6: 724 - 728

DOI: https://doi.org/10.3969/j.issn.1006-9771.2019.06.019

Construction of Assistive Products Service System Using Internet Plus and Artificial Intelligence

  • DONG Li-quan ,
  • LI Xi ,
  • XU Jin ,
  • HU Jian-min ,
  • DAI Lian-jun ,
  • XIE Gan-lin
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  • 1.China Assistive Devices and Technology Centre for Persons with Disabilities, Beijing 100050, China;
    2.Key Laboratory of Biomedical Information of Ministry of Education, School of Life Science and Technology, Institute of Biomedical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China;
    3.Deparment of Ophthalmology, Second Affiliated Hospital of Fujian Medical College, Quanzhou, Fujian 362000, China;
    4.Information Center, China Disabled Persons' Federation, Beijing 100034, China

Received date: 2019-04-01

  Revised date: 2019-04-26

  Online published: 2019-06-25

Supported by

National Key Research and Development Program (No. 2018YFC2002600)

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Abstract

Objective To establish an Internet Plus intelligent assessment and assistive technology service system.Methods Based on International Classification of Functioning, Disability and Health, we used new-generation information technology to establish a system for assessment and assistive technology service, and analyze the path of achieving Internet Plus and intelligence from the elements of the National Health Coverage Health Service System.Results The architecture of assessment and assistive technology service system was proposed.Conclusion A new kind architecture of assessment and assistive technology service system was established by using new-generation information technology.

Key words： assistive technology; assistive products; service delivery; telerehabilitation; internet plus

Cite this article

DONG Li-quan , LI Xi , XU Jin , HU Jian-min , DAI Lian-jun , XIE Gan-lin . Construction of Assistive Products Service System Using Internet Plus and Artificial Intelligence[J]. Chinese Journal of Rehabilitation Theory and Practice, 2019 , 25(6) : 724 -728 . DOI: 10.3969/j.issn.1006-9771.2019.06.019

References

1 世界卫生组织. 增进获得辅助技术[EB/OL]. (2018-03-15)[2018-05-24]. http://apps.who.int/gb/ebwha/pdf_files/WHA71/A71_21-ch.pdf
2 李晞,吴小高. 我国残疾人辅助器具服务工作的现状及展望[J]. 残疾人研究, 2016(3): 43-47.
3 秦业. 互联网协同制造：激发中国智造创新活力[J]. 世界电信, 2015(8): 47-49.
4 代涛. 健康服务业内涵、属性分析及政策启示[J]. 中国卫生政策研究, 2016, 9(3): 1-5.
5 世界卫生组织. 辅助技术[EB/OL]. (2018-05-18). https://www.who.int/zh/news-room/fact-sheets/detail/assistive-technology.
6 朱图陵. 辅助器具及服务模式的发展动态[J]. 中国康复理论与实践, 2011, 17(6): 586-588.
7 World Health Organization. Global Cooperation on Assistive Technology (GATE) [EB/OL]. [2016-12-22]. https://www.who.int/disabilities/technology/gate/en/.
8 世界卫生组织. 国际功能、残疾和健康分类(国际中文增补版) [M]. 邱卓英,译. 日内瓦:世界卫生组织, 2015.
9 邱卓英,陈迪,祝捷. 构建基于ICF的功能和残疾评定的理论和方法[J]. 中国康复理论与实践, 2010, 16(7): 675-677.
10 董理权,吴小高. 构建辅助器具适配体系探讨[J]. 残疾人研究, 2014(2): 16-19.
11 邱卓英,郭键勋,杨剑,等. 康复2030: 促进实现《联合国2030年可持续发展议程》相关目标[J]. 中国康复理论与实践, 2017, 23(4): 373-378.
12 邱卓英,陈迪. 发展卫生保健和康复服务，增进残疾人健康——学习《世卫组织2014～2021年全球残疾问题行动计划:增进所有残疾人的健康》[J]. 中国康复理论与实践, 2014, 20(7): 611-615.
13 吴毅, EsselmanP. 美国康复医学统一数据系统(UDSMR)在康复医学功能评价中的应用[C]. 北京: 中国康复医学会第四届会员代表大会暨第三届中国康复医学学术大会论文汇编, 2001.
14 Desbiens-BlaisF, ClinJ, ParentS, et al. New brace design combining CAD/CAM and biomechanical simulation for the treatment of adolescent idiopathic scoliosis [J]. Clin Biomech (Bristol, Avon), 2012, 27(10): 999-1005.
15 CobettoN, AubinC E, ClinJ, et al. Braces optimized with computer-assisted design and simulations are lighter, more comfortable, and more efficient than plaster-cast braces for the treatment of adolescent idiopathic scoliosis [J]. Spine Deform, 2014, 2(4): 276-284.
16 BarlowI G, LiuL, SekulicA. Wheelchair seating assessment and intervention: a comparison between telerehabilitation and face-to-face service [J]. Int J Telerehabil, 2009, 1(1): 17-28.
17 ChenJ, JinW, ZhangX X, et al. Telerehabilitation approaches for stroke patients: systematic review and Meta-analysis of randomized controlled trials [J]. J Stroke Cerebrovasc Dis, 2015, 24(12): 2660-2668.
18 DodakianL, McKenzieA L, LeV, et al. A home-based telerehabilitation program for patients with stroke [J]. Neurorehabil Neural Repair, 2017, 31(10-11): 923-933.
19 NunnT, GazibegovicD. F054 outcome driven fitting assistant FOX®: multicentric study in Advanced Bionics® adult cochlear implant users [J]. Int J Pediatr Otorhi, 2011, 75: 93.
20 GolombM R, McdonaldB C, WardenS J, et al. In-home virtual reality videogame telerehabilitation in adolescents with hemiplegic cerebral palsy [J]. Arch Phys Med Rehabil, 2010, 91(1): 1-8.
21 TeixeiraA, HämäläinenA, AvelarJ, et al. Speech-centric multimodal interaction for easy-to-access online services: a personal life assistant for the elderly [J]. Procedia Comput Sci, 2014, 27: 389-397.
22 KhanR A. Machine learning: techniques and application [J]. Artificial Intelligent Systems and Machine Learning, 2014, 6(5): 169-175.
23 WangJ, LiS J, GuoY C. Cushion For Preventing Pressure Sore: 13/939,971[P]. 2014-01-23.
24 Brennan-JonesC G, EikelboomR H, SwanepoelW. Diagnosis of hearing loss using automated audiometry in an asynchronous telehealth model: a pilot accuracy study [J]. J Telemed Telecare, 2017, 23(2): 256-262.
25 魏佩芳,刘玉奇,王丽燕,等. 一种自助听力测评系统的初步评估[J]. 中国听力语言康复科学杂志, 2015(6): 435-439.
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