NDLI: A framework for harmonizing sensor data to support embedded health assessment

Content Provider	IEEE Xplore Digital Library
Author	Skubic, M. Jimison, H. Keller, J. Popescu, M. Rantz, M. Kaye, J. Pavel, M.
Copyright Year	2014
Description	Author affiliation: Electr. & Comput. Eng. Dept., Univ. of Missouri, Columbia, MO, USA (Skubic, M.; Keller, J.) \|\| Coll. of Comput. & Inf. Sci., Northeastern Univ., Boston, MA, USA (Jimison, H.; Pavel, M.) \|\| Oregon Health & Sci. Univ., Portland, OR, USA (Kaye, J.) \|\| Sinclair Sch. of Nursing, Univ. of Missouri, Columbia, MO, USA (Rantz, M.) \|\| Health Manage. & Inf. Dept., Univ. of Missouri, Columbia, MO, USA (Popescu, M.)
Abstract	The use of in-home and mobile sensing is likely to be a key component of future care and has recently been studied by many research groups world-wide. Researchers have shown that embedded sensors can be used for health assessment such as early illness detection and the management of chronic health conditions. However, research collaboration and data sharing have been hampered by disparate sets of sensors and data collection methods. To date, there have been no studies to investigate common measures that can be used across multiple sites with different types of sensors, which would facilitate large scale studies and reuse of existing datasets. In this paper, we propose a framework for harmonizing heterogeneous sensor data through an intermediate layer, the Conceptual Sensor, which maps physical measures to clinical space. Examples are included for sleep quality and ambulatory physical function.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	1747
Ending Page	1751
File Size	753958
Page Count	5
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943946
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robot sensing systems Legged locomotion Uncertainty Radar Biomedical monitoring Standards
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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