Silva Cleyton Rafael Gomes, Gonçalves Cristhiane, Camilo Eduardo N R, Boaretti Dos Santos Fabio, Siqueira Joyce, de Albuquerque Eduardo Simões, de Melo Nunes Soares Fabrízzio Alphonsus Alves, de Oliveira Leandro Luís Galdino, da Costa Ronaldo Martins
Institute of Informatics, Federal University of Goias, Goiania, Goias, Brazil.
Institute of Physics, Federal University of Goias, Goiania, Goias, Brazil.
Stud Health Technol Inform. 2017;245:589-593.
Analyzing human pupillary behavior is a non-invasive method for evaluating neurological activity. This method contributes to the medical field because changes in pupillary behavior can be correlated with several health conditions such as Parkinson, Alzheimer, autism and diabetes. Analyzing human pupillary behavior is simple and low-cost, and may be used as a complementary diagnosis. Therefore, this work aims to develop an automated system to evaluate human pupillary behavior. The solution consists of a portable recording device, a pupillometer; integrated with a recording and evaluation software based on computer vision. The system is able to stimulate, record, measure and extract relevant features of human pupillary behavior. The results show that the proposed system is fast and accurate, and can be used as an assessment tool for real and extensive clinical practice and research.
分析人类瞳孔行为是一种评估神经活动的非侵入性方法。这种方法对医学领域有贡献，因为瞳孔行为的变化可以与多种健康状况相关联，如帕金森病、阿尔茨海默病、自闭症和糖尿病。分析人类瞳孔行为简单且成本低，可作为一种辅助诊断方法。因此，这项工作旨在开发一个评估人类瞳孔行为的自动化系统。该解决方案包括一个便携式记录设备——瞳孔计，以及与基于计算机视觉的记录和评估软件集成。该系统能够刺激、记录、测量和提取人类瞳孔行为的相关特征。结果表明，所提出的系统快速且准确，可作为真实且广泛的临床实践和研究的评估工具。
