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PhysioCover: Recovering the Missing Values in Physiological Data of Intensive Care Units
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  • PhysioCover: Recovering the Missing Values in Physiological Data of Intensive Care Units
  • PhysioCover: Recovering the Missing Values in Physiological Data of Intensive Care Units
저자명
Kim. Sun-Hee,Yang. Hyung-Jeong,Kim. Soo-Hyung,Lee. Guee-Sang
간행물명
International journal of contents
권/호정보
2014년|10권 2호|pp.47-58 (12 pages)
발행정보
한국콘텐츠학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

Physiological signals provide important clues in the diagnosis and prediction of disease. Analyzing these signals is important in health and medicine. In particular, data preprocessing for physiological signal analysis is a vital issue because missing values, noise, and outliers may degrade the analysis performance. In this paper, we propose PhysioCover, a system that can recover missing values of physiological signals that were monitored in real time. PhysioCover integrates a gradual method and EM-based Principle Component Analysis (PCA). This approach can (1) more readily recover long- and short-term missing data than existing methods, such as traditional EM-based PCA, linear interpolation, 5-average and Missing Value Singular Value Decomposition (MSVD), (2) more effectively detect hidden variables than PCA and Independent component analysis (ICA), and (3) offer fast computation time through real-time processing. Experimental results with the physiological data of an intensive care unit show that the proposed method assigns more accurate missing values than previous methods.