A Kalman Filtering and Nonlinear Penalty Regression Approach for Noninvasive Anemia Detection with Palpebral Conjunctiva Images
المؤلفون المشاركون
Chen, Yi-Ming
Miaou, Shaou-Gang
المصدر
Journal of Healthcare Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-30
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181432
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر