智慧养老领域的研究现状与热点分析
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摘要
本文以中国知网、Web of Science作为数据来源,从论文数量、作者关系、机构来源和研究热点等维度,结合文献计量经典定律,对国内外智慧养老领域研究现状进行科学计量、可视化分析和综述研究,并分别在概念、技术和产品三个不同层面对国内外智慧养老研究热点和发展趋势进行探讨。研究表明,国内智慧养老领域主要关注于养老模式、养老体系、养老产业及养老产品等重要内容的研究与实践,而国外智慧养老领域则更多侧重养老实践中的传感技术与设备,特别是技术在老年人病理和生活中的应用与功能性研究等。
With CNKI and Web of Science as data sources,this paper analyzes the status quo of domestic and international field of smart elderly care via scientific measurement,visualization analysis and summarize study from the dimensions of the number of papers,author relationship,research institute and research hotspot combined with classical laws of bibliometrics,and discusses from three aspects of concept,technology and product. The results show that domestic research of smart elderly care focuses on the pension model,the pension system,the pension industry and the pension products,while the international research focuses on sensor technology and equipment,pathology and life research of the elderly,and emphasises on technology and function research.
With CNKI and Web of Science as data sources,this paper analyzes the status quo of domestic and international field of smart elderly care via scientific measurement,visualization analysis and summarize study from the dimensions of the number of papers,author relationship,research institute and research hotspot combined with classical laws of bibliometrics,and discusses from three aspects of concept,technology and product. The results show that domestic research of smart elderly care focuses on the pension model,the pension system,the pension industry and the pension products,while the international research focuses on sensor technology and equipment,pathology and life research of the elderly,and emphasises on technology and function research.
引文
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[15] Kwon O,Shim J M,Lim G. Single activity sensor-based ensemble analysis for health monitoring of solitary elderly people[J]. Expert Systems with Applications,2012,39(5):5774-5783.
[16] Jalal A,Kamal S,Kim D. A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments[J]. Sensors,2014,14(7):11735-11759.
[17] Wang J,Zhang Z,Li B,et al. An enhanced fall detection system for elderly person monitoring using consumer home networks[J]. IEEE Transactions on Consumer Electronics,2014,60(1):23-29.
[18] Ni H,Wu S,Bessam A,et al. Non-intrusive sleep pattern recognition with ubiquitous sensing in elderly assistive environment[J]. Frontiers of Computer Science,2015,9(6):966-979.
[19] Yu M,Rhuma A,Naqvi S M,et al. A posture recognition-based fall detection system for monitoring an elderly person in a smart home environment[J]. IEEE Transactions on Information Technology in Biomedicine,2012,16(6):1274-1286.
[20] Feng W,Liu R,Zhu M. Fall detection for elderly person care in a vision-based home surveillance environment using a monocular camera[J]. Signal,Image and Video Processing,2014,8(6):1129-1138.
[21]睢党臣,彭庆超.“互联网+居家养老”:智慧居家养老服务模式[J].新疆师范大学学报(哲学社会科学版),2016,37(5):128-135.
[22]郑世宝.物联网与智慧养老[J].电视技术,2014,38(22):24-27.
[23] Ko J G,Lu C,Srivastava M B,et al. Wireless sensor networks for healthcare[J]. Proceedings of the IEEE,2010,98(11):1947-1960.
[24] Chae Y M,Heon L J,Hee H S,et al. Patient satisfaction with telemedicine in home health services for the elderly[J]. International Journal of Medical Informatics,2001,61(2-3):167-173.
[2]左美云.我对“智慧养老”的理解和发展建议[N].中国社会报,2017-05-22(004).
[3] Chan M,Campo E,Esteve D,et al. Smart homes-current features and future perspectives[J]. Maturitas,2009,64(2):90-97.
[4]赵英,刘任烨,田蜜,等.智慧养老研究的现状及发展趋势分析——基于文献计量和知识图谱[J].山东财经大学学报,2017,29(2):107-117.
[5]孙梦楚,高焕沙,薛群慧.国内外智慧养老研究进展[J].特区经济,2016(6):71-73.
[6]周恕义,王少华,周惠义,等.养老保险微机网络管理系统的研制[J].齐齐哈尔轻工学院学报,1993(3):13-17.
[7] Washburn R A,Smith K W,Jette A M,et al. The physical activity scale for the elderly(PASE):Development and evaluation[J]. Journal of the Canadian Chiropractic Association,1993,46(2):153-162.
[8]彭希羡,孙霄凌,朱庆华.国内社交网络服务研究的文献计量分析[J].情报科学,2012,30(3):414-418.
[9] el Achkar C M,Lenoble-Hoskovec C,Paraschiv-Ionescu A,et al. Instrumented shoes for activity classification in the elderly[J]. Journal of Gait&posture,2015,44:12-17.
[10] GaneaR,Paraschiv-Ionescu A,C. Büla,et al. Multi-parametric evaluation of sit-to-stand and stand-to-sit transitions in elderly people[J]. Medical Engineering&Physics,2011,33(9):1086-1093.
[11] Demiris G,Hensel B K,Skubic M,et al. Senior residents'perceived need of and preferences for"smart home"sensor technologies[J]. International Journal of Technology Assessment in Health Care,2008,24(1):120-124.
[12] Skubic M,Guevara R D,Rantz M. Automated health alerts using in-home sensor data for embedded health assessment[J]. IEEE Journal of Translational Engineering in Health and Medicine,2015,3:1-11,Art no.2700111
[13] Rantz M,Skubic M,Abbott C,et al. Automated in-home fall risk assessment and detection sensor system for elders[J]. The Gerontologist,2015,55(Suppl 1):S78-87.
[14]罗椅民,师昉,纪树荣.老年辅助器具与辅助技术在养老康复中的应用进展[J].中国康复医学杂志,2016,31(7):813-816.
[15] Kwon O,Shim J M,Lim G. Single activity sensor-based ensemble analysis for health monitoring of solitary elderly people[J]. Expert Systems with Applications,2012,39(5):5774-5783.
[16] Jalal A,Kamal S,Kim D. A depth video sensor-based life-logging human activity recognition system for elderly care in smart indoor environments[J]. Sensors,2014,14(7):11735-11759.
[17] Wang J,Zhang Z,Li B,et al. An enhanced fall detection system for elderly person monitoring using consumer home networks[J]. IEEE Transactions on Consumer Electronics,2014,60(1):23-29.
[18] Ni H,Wu S,Bessam A,et al. Non-intrusive sleep pattern recognition with ubiquitous sensing in elderly assistive environment[J]. Frontiers of Computer Science,2015,9(6):966-979.
[19] Yu M,Rhuma A,Naqvi S M,et al. A posture recognition-based fall detection system for monitoring an elderly person in a smart home environment[J]. IEEE Transactions on Information Technology in Biomedicine,2012,16(6):1274-1286.
[20] Feng W,Liu R,Zhu M. Fall detection for elderly person care in a vision-based home surveillance environment using a monocular camera[J]. Signal,Image and Video Processing,2014,8(6):1129-1138.
[21]睢党臣,彭庆超.“互联网+居家养老”:智慧居家养老服务模式[J].新疆师范大学学报(哲学社会科学版),2016,37(5):128-135.
[22]郑世宝.物联网与智慧养老[J].电视技术,2014,38(22):24-27.
[23] Ko J G,Lu C,Srivastava M B,et al. Wireless sensor networks for healthcare[J]. Proceedings of the IEEE,2010,98(11):1947-1960.
[24] Chae Y M,Heon L J,Hee H S,et al. Patient satisfaction with telemedicine in home health services for the elderly[J]. International Journal of Medical Informatics,2001,61(2-3):167-173.