Sensor Networks and Data Management in Healthcare: Emerging Technologies and New Challenges

被引：8

作者：

Pike, Matthew ^{[1
]}

Mustafa, Nasser M. ^{[1
]}

Towey, Dave ^{[1
]}

Brusic, Vladimir ^{[1
]}

机构：

[1] Univ Nottingham Ningbo China, Sch Comp Sci, Ningbo, Peoples R China

来源：

2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 1 | 2019年

关键词：

data streaming; digital wellbeing health monitoring; Internet of Things; oracle problem; sensor networks; BIG DATA; EVOLUTION; INTERNET; FUTURE; THINGS; SMART;

D O I：

10.1109/COMPSAC.2019.00123

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Smart pervasive sensor networks are becoming an important part of our daily lives. Low-power, high-availability and high-throughput 5G mobile networks provide the necessary communication means for highly pervasive sensor networks, introducing a technological disruption to health monitoring. The meaningful use of large concurrent sensor networks in healthcare requires multi-level health knowledge integration with sensor data streams. In this paper, we highlight some software engineering and data-processing issues that can be addressed by metamorphic testing. The proposed solution combines data streaming with filtering and cross-calibration, use of medical knowledge for system operation and data interpretation, and IoT-based calibration using certified linked diagnostic devices.

引用

页码：834 / 839

页数：6

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