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Neonatal Monitoring Based on Facial Expression Analysis
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Author(s): Jungong Han (Centrum Wiskunde & Informatica (CWI), The Netherlands), Lykele Hazelhoff (Eindhoven University of Technology & CycloMedia Technology B.V., The Netherlands)and Peter H.N. de With (Eindhoven University of Technology, The Netherlands)
Copyright: 2012
Pages: 21
Source title:
Neonatal Monitoring Technologies: Design for Integrated Solutions
Source Author(s)/Editor(s): Wei Chen (Eindhoven University of Technology, The Netherlands), Sidarto Bambang Oetomo (Máxima Medical Center, The Netherlands)and Loe Feijs (Eindhoven University of Technology, The Netherlands)
DOI: 10.4018/978-1-4666-0975-4.ch014
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Abstract
Prematurely born infants are observed in a Neonatal Intensive Care Unit (NICU) for medical treatment. These infants are nursed in an incubator, where their vital body functions such as heart rate, respiration, blood pressure, oxygen saturation, and temperature are continuously monitored. However, the existing monitoring system is lack of the measurement for visual expression of the neonatal. Therefore, valuable information about the well being of the patient (e.g., pain and discomfort) may pass unnoticed. This chapter aims at designing a prototype of an automated video monitoring system for the detection of discomfort in newborns by analyzing their facial expression. The system consists of several algorithmic components, ranging from the face detection, ROI determination, facial feature extraction, to behavior stage classification. To further adapt this system to the real hospital environment, the authors also intend to address the problem of locating the face regions under varying lighting conditions. To this end, an adaptive face detection technique based on gamut mapping is presented. The authors have evaluated the prototype system on recordings of a healthy newborn with different conditions, and we show that our algorithm can operate with approximately 88% accuracy.
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