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http://dx.doi.org/10.12673/jant.2015.19.5.446

Sensor Abstraction for U-health Application Development: Filtering and Summarization for Accuracy Enhancement  

Oh, Sam Kweon (School of Computer and Information Engineering, Hoseo University)
Lim, Eun Chong (School of Computer and Information Engineering, Hoseo University)
Publication Information
Journal of Advanced Navigation Technology / v.19, no.5, 2015 , pp. 446-451 More about this Journal
Abstract
Recently, researches on sensor-based U-health applications that provide personal health information such as blood pressure, body temperature, and glucose, have actively been studied. The health information obtained via sensors, however, may have accuracy problems so that they can not be used unprocessed. This paper proposes a sensor abstraction layer for enhancing the accuracy of sensor readings from biomedical sensors that interact with smart phones. This layer recognizes sensor types and converts sensor readings into a form as specified in ISO/IEEE 11073 Personal Health Standard. When necessary, not only a filtering method that eliminates outlier values from sensor readings but also a summarization method that transforms them into more suitable forms, can also be applied. An android-based development board is used for the evaluation of proposed sensor abstraction layer. The results obtained by applying filtering and summarization show improved accuracy over unprocessed sensor readings of the body temperature and heartbeat sensors.
Keywords
U-Health; Sensor Abstraction; Filtering; Summarization;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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