Abstract
This study has the goal of developing a diagnosis system to detect human depression in real time to assist in the diagnosis of a doctor. The developed system may grasp the concentration and depression level of a patient using brainwave data acquired in real time. The depression detection index used in the system is the frontal brain asymmetry (FBA), which is based on the asymmetric phenomenon of depressed patients. In this study, an experiment was conducted with 40 depressed/normal subjects in order to verify the reliability of the developed system. The results proved that the system diagnosed the depression level in real time. It can be used to develop therapy programs for various nervous and mental disorders.
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Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2015R1D1A1A01059253).
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Shin, D., Nam, Y., Shin, D., Shin, D. (2017). Real-Time Human Depression Diagnosis System Using Brain Wave Analysis. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_67
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