CLINICAL DECISION SUPPORT SYSTEM FOR VIDEO HEAD IMPULSE TEST USING FUZZY REASONING

초록

Objectives: The goal of our study was to propose a novel clinical decision support system for Video Head Impulse Test (vHIT) results based on Fuzzy reasoning. This stand-alone application autonomously and collaboratively provides the statistical data of vHIT VOR check-up and the suggested normality of about the subject?? response. Methods: The statistical data are of position VOR gain (calculated by our algorithm), velocity VOR gain (from the recording device), covert and overt catch-up saccade. Afterwards, the detected catch-up saccades and position VOR gain were used as inputs to three fuzzy inference systems. The first one provides the efficiency of each impulse due to the positon VOR gain. The second one gives different output caused by covert catch-up saccade occurrence and position VOR gain. In addition, the third inference system analyzes the statistical data of position VOR gain and the proportion of detected catch-up saccades for the whole dataset of one patient. Results: The developed software provides abundance of vHIT?? statistical data to support the diagnosis statement of physicians. Furthermore, it provides the response?? normality, in which the position VOR gain and catch-up saccades are articulated via three fuzzy inference systems. Conclusions: In this paper, we presented the clinical decision support system with the above aiming. It might be practical and useful to the analysis and clinical decision for vHIT. Keywords: Vestibulo-ocular response; video head impulse; velocity gain; position gain; desaccade Acknowledgement This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded in part by the Ministry of Education (2010-0020163) and in part by the Ministry of Science, ICT & Future Planning (NRF-2013R1A2A2A04014796)