Automated Evaluation System for Human Pupillary Behavior
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.
Pupil Computers
Cleyton Rafael Gomes Silva Cristhiane Gon(c)alves Eduardo N.R.Camilo Fabio Boaretti dos Santos Joyce Siqueira Eduardo Sim(o)es de Albuquerque Fabrízzio Alphonsus Alves de Melo Nunes Soares Leandro Luís Galdino de Oliveira Ronaldo Martins da Costa
Institute of Informatics,Federal University of Goias,Goiania,Goias,Brazil Institute of Physics,Federal University of Goias,Goiania,Goias,Brazil Goias Eye Bank Hospital,Goiania,Goias,Brazil
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
589-593
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）