DESIGN AND IMPLEMENTATION OF A NOVEL HUMAN-MACHINE INTERACTIVE HEALTHCARE SYSTEM FOR VISUAL REPRODUCTION TEST

摘要

Cognitive impairment is a noteworthy problem in the healthcare domain due to an aging population. The existing methods to assess mild cognitive impairment such as Visual Reproduction experiment is via paper and pen, and the results are read and diagnosed by doctors. This classic method only collects static characteristics of visual memory and loses details of human behavior in testing. In this paper, we design a novel interactive system coupled with a digital pen and paper. The system records the dynamics information of drawing behavior during the experiments without changing the consistence of tester experience. Thus these dynamic data can be used to show a correlation with the quality of test completion based on the previous Visual Reproduction research. Meanwhile, functions such as real-time recording and offline management highly improve the efficiency and accuracy of medical judgment. Additionally, new matrixes obtained by calculating dynamic data may be important consideration for future phenotype and human behavior association studies. This human-interactive system reveals the dynamic information which can assist speculation of quality of drawing scripts and also can benefit medical researchers on effective evaluation of the Visual Reproduction experiment results.