What Does Big Data Mean for Wearable Sensor Systems? Contribution of the IMIA Wearable Sensors in Healthcare WG.

What Does Big Data Mean for Wearable Sensor Systems? Contribution of the IMIA Wearable Sensors in Healthcare WG.
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DOI:
10.15265/iy-2014-0019
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发表时间:
2014-08-15
影响因子:
--
通讯作者:
Marschollek, M
Marschollek, M
中科院分区:
其他
文献类型:
--
作者:
Redmond, S J;Lovell, N H;Marschollek, M

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目的:本文的目的是讨论大数据领域的最新发展可能如何潜在地影响可穿戴传感器系统在医疗保健中的未来使用。方法:本文引用科学文献来支持医疗工作组中IMIA可穿戴传感器提出的观点。结果:讨论了以下内容:可穿戴传感器产生大数据的潜力;补充技术,如智能手机,将如何增强可穿戴传感器的概念并改变所创建的监测数据的性质;标准将如何实现数据共享和推动科学进步。重要的是,请注意统计推断问题,对于这些问题,大数据集提供的帮助很小,或者可能会阻碍确定有用的解决方案。最后,讨论了密集的可穿戴传感器监测对隐私的风险和可能产生的负面后果。结论:可穿戴传感器系统具有生成数据集的潜力,这些数据集目前超出了我们的组织和解释能力。为了成功地利用可穿戴传感器数据推断健康状况,并实现主动健康管理,必须开发允许研究小组之间和商业系统之间共享数据的标准和本体,以促进将这些数据整合到健康信息系统中。然而,政策和法规将需要确保可穿戴传感器数据的详细性质不会被滥用来侵犯隐私或对个人造成偏见。
OBJECTIVES: The aim of this paper is to discuss how recent developments in the field of big data may potentially impact the future use of wearable sensor systems in healthcare.METHODS: The article draws on the scientific literature to support the opinions presented by the IMIA Wearable Sensors in Healthcare Working Group.RESULTS: The following is discussed: the potential for wearable sensors to generate big data; how complementary technologies, such as a smartphone, will augment the concept of a wearable sensor and alter the nature of the monitoring data created; how standards would enable sharing of data and advance scientific progress. Importantly, attention is drawn to statistical inference problems for which big datasets provide little assistance, or may hinder the identification of a useful solution. Finally, a discussion is presented on risks to privacy and possible negative consequences arising from intensive wearable sensor monitoring.CONCLUSIONS: Wearable sensors systems have the potential to generate datasets which are currently beyond our capabilities to easily organize and interpret. In order to successfully utilize wearable sensor data to infer wellbeing, and enable proactive health management, standards and ontologies must be developed which allow for data to be shared between research groups and between commercial systems, promoting the integration of these data into health information systems. However, policy and regulation will be required to ensure that the detailed nature of wearable sensor data is not misused to invade privacies or prejudice against individuals.