Challenges and Opportunities in Cardiovascular Health Informatics

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Article number6428629
Pages (from-to)633-642
Journal / PublicationIEEE Transactions on Biomedical Engineering
Volume60
Issue number3
Online published1 Feb 2013
Publication statusPublished - Mar 2013
Externally publishedYes

Abstract

Cardiovascular health informatics is a rapidly evolving interdisciplinary field concerning the processing, integration/interpretation, storage, transmission, acquisition, and retrieval of information from cardiovascular systems for the early detection, early prediction, early prevention, early diagnosis, and early treatment of cardiovascular diseases (CVDs). Based on the first author's presentation at the first IEEE Life Sciences Grand Challenges Conference, held on October 4-5, 2012, at the National Academy of Sciences, Washington, DC, USA, this paper, focusing on coronary arteriosclerotic disease, will discuss three significant challenges of cardiovascular health informatics, including: 1) to invent unobtrusive and wearable multiparameter sensors with higher sensitivity for the real-time monitoring of physiological states; 2) to develop fast multimodal imaging technologies with higher resolution for the quantification and better understanding of structure, function, metabolism of cardiovascular systems at the different levels; and 3) to develop novel multiscale information fusion models and strategies with higher accuracy for the personalized predication of the CVDs. At the end of this paper, a summary is given to suggest open discussions on these three and more challenges that face the scientific community in this field in the future.

Research Area(s)

  • Body sensor networks, CVD, fast imaging, health informatics, information fusion, unobtrusive sensing, wearable devices

Citation Format(s)

Challenges and Opportunities in Cardiovascular Health Informatics. / Zhang, Yuan-Ting; Zheng, Ya-Li; Lin, Wan-Hua et al.
In: IEEE Transactions on Biomedical Engineering, Vol. 60, No. 3, 6428629, 03.2013, p. 633-642.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review