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Sensors 2017, 17(12), 2843; https://doi.org/10.3390/s17122843

Novel Noninvasive Brain Disease Detection System Using a Facial Image Sensor

Department of Computer and Information Science, Avenida da Universidade, University of Macau, Taipa, Macau 999078, China
These authors contributed equally to this work.
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Received: 1 November 2017 / Revised: 30 November 2017 / Accepted: 2 December 2017 / Published: 8 December 2017
(This article belongs to the Special Issue Sensors for Health Monitoring and Disease Diagnosis)
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Abstract

Brain disease including any conditions or disabilities that affect the brain is fast becoming a leading cause of death. The traditional diagnostic methods of brain disease are time-consuming, inconvenient and non-patient friendly. As more and more individuals undergo examinations to determine if they suffer from any form of brain disease, developing noninvasive, efficient, and patient friendly detection systems will be beneficial. Therefore, in this paper, we propose a novel noninvasive brain disease detection system based on the analysis of facial colors. The system consists of four components. A facial image is first captured through a specialized sensor, where four facial key blocks are next located automatically from the various facial regions. Color features are extracted from each block to form a feature vector for classification via the Probabilistic Collaborative based Classifier. To thoroughly test the system and its performance, seven facial key block combinations were experimented. The best result was achieved using the second facial key block, where it showed that the Probabilistic Collaborative based Classifier is the most suitable. The overall performance of the proposed system achieves an accuracy −95%, a sensitivity −94.33%, a specificity −95.67%, and an average processing time (for one sample) of <1 min at brain disease detection. View Full-Text
Keywords: image sensor; brain disease; noninvasive detection system; facial key block analysis; ProCRC; medical biometrics image sensor; brain disease; noninvasive detection system; facial key block analysis; ProCRC; medical biometrics
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Shu, T.; Zhang, B.; Tang, Y.Y. Novel Noninvasive Brain Disease Detection System Using a Facial Image Sensor. Sensors 2017, 17, 2843.

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