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首页> 外文会议>Portland International Conference on Management of Engineering and Technology >Forecasting of biosensor technologies for emerging point of care and medical IoT applications using bibliometrics and patent analysis
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Forecasting of biosensor technologies for emerging point of care and medical IoT applications using bibliometrics and patent analysis

机译：使用文献计量学和专利分析预测新兴医疗点和医疗物联网应用的生物传感器技术

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摘要

Healthcare is beginning to embrace point of care (POC) diagnostics and medical applications that are based on the internet of things (IoT) and the ubiquitous smart phone. Advanced medical diagnostics will utilize biosensors for biological data acquisition. This paper introduces the forecasting of biosensors that have the potential to be used in POC and IoT applications. For this research three types of biosensors were selected. These are biosensors for testing of blood, saliva, and breath. Bibliometrics and patent analysis of these biosensors are used to develop technology maturity rates based on the Fisher-Pry model. The Science Citation Index (SCI) is used for bibliometrics and patent analysis is derived from global patent databases. The Fisher-Pry projections or S-curves enable insights into the maturity levels of the emerging biosensor technologies under consideration and forecasting their growth. Patent analysis based on cumulative annual patent count indicated that blood biosensors reached their technology maturity midpoint in 2009 with the midpoints of saliva and breath biosensors lagging by 8 and 14 years respectively. Bibliometrics with annual publication count did not appear to provide much value in forecasting the maturity growth of the three biosensors.
机译：医疗保健开始采用​​基于物联网（IoT）和无处不在的智能手机的即时医疗（POC）诊断和医疗应用程序。先进的医学诊断将利用生物传感器获取生物数据。本文介绍了可能在POC和IoT应用中使用的生物传感器的预测。为了这项研究，选择了三种类型的生物传感器。这些是用于检测血液，唾液和呼吸的生物传感器。这些生物传感器的文献计量学和专利分析用于基于Fisher-Pry模型开发技术成熟度。科学引文索引（SCI）用于文献计量，专利分析来自全球专利数据库。 Fisher-Pry预测或S曲线使您能够洞悉正在考虑的新兴生物传感器技术的成熟度并预测其增长。基于累计年度专利数量的专利分析表明，血液生物传感器在2009年达到了技术成熟度的中点，唾液和呼吸生物传感器的中点分别落后了8年和14年。具有年度出版物计数的文献计量学在预测这三种生物传感器的成熟度增长方面似乎没有提供太多价值。

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