Hyperspectral vital sign signal analysis for medical data

Cheng Gao; Yao Li; Hsiao-Chi Li; Chein-I Chang; Peter Hu; Colin Mackenzie

doi:10.1117/12.2179608

21 May 2015 Hyperspectral vital sign signal analysis for medical data

Cheng Gao, Yao Li, Hsiao-Chi Li, Chein-I Chang, Peter Hu, Colin Mackenzie

Author Affiliations +

Proceedings Volume 9501, Satellite Data Compression, Communications, and Processing XI; 950110 (2015) https://doi.org/10.1117/12.2179608
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

This paper develops a completely new technology,) from a hyperspectral imaging perspective, called Hyperspectral Vital Sign Signal Analysis (HyVSSA. A hyperspectral image is generally acquired by hundreds of contiguous spectral bands, each of which is an optical sensor specified by a particular wavelength. In medical application, we can consider a patient with different vital sign signals as a pixel vector in hyperspectral image and each vital sign signal as a particular band. In light of this interpretation, a revolutionary concept is developed, which translates medical data to hyperspectral data in such a way that hyperspectral technology can be readily applied to medical data analysis. One of most useful techniques in hyperspectral data processing is, Anomaly Detection (AD) which in this medical application is used to predict outcomes such as transfusion, length of stay (LOS) and mortality using various vital signs. This study compared transfusion prediction performance of Anomaly Detection (AD) and Logistic Regression (LR).

Citation Download Citation

Cheng Gao, Yao Li, Hsiao-Chi Li, Chein-I Chang, Peter Hu, and Colin Mackenzie "Hyperspectral vital sign signal analysis for medical data", Proc. SPIE 9501, Satellite Data Compression, Communications, and Processing XI, 950110 (21 May 2015); https://doi.org/10.1117/12.2179608

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