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A Kalman Filtering and Nonlinear Penalty Regression Approach for Noninvasive Anemia Detection with Palpebral Conjunctiva Images
Joint Authors
Chen, Yi-Ming
Miaou, Shaou-Gang
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Noninvasive medical procedures are usually preferable to their invasive counterparts in the medical community.
Anemia examining through the palpebral conjunctiva is a convenient noninvasive procedure.
The procedure can be automated to reduce the medical cost.
We propose an anemia examining approach by using a Kalman filter (KF) and a regression method.
The traditional KF is often used in time-dependent applications.
Here, we modified the traditional KF for the time-independent data in medical applications.
We simply compute the mean value of the red component of the palpebral conjunctiva image as our recognition feature and use a penalty regression algorithm to find a nonlinear curve that best fits the data of feature values and the corresponding levels of hemoglobin (Hb) concentration.
To evaluate the proposed approach and several relevant approaches, we propose a risk evaluation scheme, where the entire Hb spectrum is divided into high-risk, low-risk, and doubtful intervals for anemia.
The doubtful interval contains the Hb threshold, say 11 g/dL, separating anemia and nonanemia.
A suspect sample is the sample falling in the doubtful interval.
For the anemia screening purpose, we would like to have as less suspect samples as possible.
The experimental results show that the modified KF reduces the number of suspect samples significantly for all the approaches considered here.
American Psychological Association (APA)
Chen, Yi-Ming& Miaou, Shaou-Gang. 2017. A Kalman Filtering and Nonlinear Penalty Regression Approach for Noninvasive Anemia Detection with Palpebral Conjunctiva Images. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1181432
Modern Language Association (MLA)
Chen, Yi-Ming& Miaou, Shaou-Gang. A Kalman Filtering and Nonlinear Penalty Regression Approach for Noninvasive Anemia Detection with Palpebral Conjunctiva Images. Journal of Healthcare Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1181432
American Medical Association (AMA)
Chen, Yi-Ming& Miaou, Shaou-Gang. A Kalman Filtering and Nonlinear Penalty Regression Approach for Noninvasive Anemia Detection with Palpebral Conjunctiva Images. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1181432
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181432