基于爆发词检测的健康医疗可穿戴设备技术机会分析
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摘要
采用爆发词检测方法,以德温特数据库和Web of Science核心合集为数据源,通过基本检索途径,分别检索2007-2016年的专利数据和科技论文,借助可视化计量学研究工具CiteSpace对健康医疗可穿戴设备领域的技术机会进行识别与预测,发现减少可穿戴设备的电力耗损、提高其监测及动作识别的精确度、提升其综合健康管理功能、完善无线通信技术、促进云计算在可穿戴设备领域的发展、多传感器融合及拓展可穿戴设备在慢性病(尤其是帕金森氏病与慢性心力衰竭)领域的应用为该领域的关键技术机会。识别健康医疗可穿戴设备领域的技术机会,能够为该领域的技术创新活动提出可供参考的建议。
The patent data and academic papers covered in Derwent Database and Web of Science from 2007 to2016 were retrieved by burst words detection. The technological opportunities of wearable devices in healthcare were identified and predicated using Cite Space,a visualized metric research tool,which showed that reducing the electric power consumption,increasing the accuracy of monitoring and action identification,improving the general health management function,perfecting the wireless communication technology of wearable devices,promoting the development of cloud computation in wearable devices,fusing of multiple sensors and expanding the application of wearable devices in chronic diseases,especially in Parkinson's disease and chronic heart failure,are the key technological opportunities of wearable devices in healthcare. Aware of the technological opportunities of wearable devices in healthcare can provide reference and suggestions for healthcare professionals in their technological innovation activities.
The patent data and academic papers covered in Derwent Database and Web of Science from 2007 to2016 were retrieved by burst words detection. The technological opportunities of wearable devices in healthcare were identified and predicated using Cite Space,a visualized metric research tool,which showed that reducing the electric power consumption,increasing the accuracy of monitoring and action identification,improving the general health management function,perfecting the wireless communication technology of wearable devices,promoting the development of cloud computation in wearable devices,fusing of multiple sensors and expanding the application of wearable devices in chronic diseases,especially in Parkinson's disease and chronic heart failure,are the key technological opportunities of wearable devices in healthcare. Aware of the technological opportunities of wearable devices in healthcare can provide reference and suggestions for healthcare professionals in their technological innovation activities.
引文
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[2]Olsson O.Technological opportunity and growth[J].Journal of Economic Growth,2005,10(1):31-53.
[3]徐丹,李文宇,张俊霞.可穿戴智能设备领域专利分析[J].电信网技术,2016(1):15-20.
[4]耿怡,安晖,李扬,等.可穿戴设备发展现状和前景探析[J].电子科学技术,2014,1(2):238-245.
[5]Zhu D H,Porter AL.Automated extraction and visual-ization of information for technological intelligence and forecas-ting[J].Technological Forecasting and Social Change,2002,69(5):495-506.
[6]克里斯托夫·弗里曼.技术政策与经济绩效:日本国家创新系统的经验[M].南京:东南大学出版社,2008:43.
[7]冯灵,余翔,张军荣.基于专利信息的高铁技术机会分析[J].情报杂志,2015,34(12):95-100.
[8]Shibata N,Kajikawa Y,Sakata I.Extracting the commercialization gap between science and technology:case study of a solar cell[J].Technological Forecasting&Social Change,2010,77(7):1147-1155.
[9]黄鲁成,王静静,李欣,等.基于论文和专利的钙钛矿太阳能电池的技术机会分析[J].情报学报,2016,35(7):686-695.
[10]亢川博,王伟,张世玉,等.国内外医学信息学研究现状的可视化分析[J].中华医学图书情报杂志,2016,25(8):24-30.
[11]梅策香,柳钰,曾利霞.可穿戴设备在人体健康监测中的应用与发展现状[J].电子世界,2016(19):8-10.
[12]石用伍.可穿戴医疗设备的研究进展[J].医疗装备,2018,31(5):193-195.
[13]迎九,金旺.可穿戴设备中的传感器应用需求及趋势[J].电子产品世界,2017,24(6):21-24.
[14]芮婷婷.我国用户移动医疗服务使用意愿研究:以可穿戴设备为例[D].成都:西南交通大学,2016.