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65 / 2021-10-16 17:58:42
Multimodal fusion diagnosis of depression and anxiety based on face video
Depression detection, Anxiety detection, Face video, Long Short-Term Memory Networks,Classification
Artificial intelligence (AI) and medical image processing and computer-aided diagnosis Medical image • information management system（PACS/RIS, IHE-RAD/IHE-RO）
Final Paper
Chen Wang / Harbin Engineering University
Lizhong Liang / Sun Yat-sen University；Marine Biomedical Research Institute of Guangdong
Xiaofeng Liu / Harvard Medical School；Suzhou Fanhan Information Technology Co., Ltd
Yao Lu / Sun Yat-sen University；Marine Biomedical Research Institute of Guangdong
Jihong Shen / Harbin Engineering University
Hui Luo / Southern Marine Science and Engineering Guangdong Laboratory；Marine Biomedical Research Institute of Guangdong
Wanqing Xie / Harbin Engineering University；Suzhou Fanhan Information Technology Co., Ltd
In order to diagnose depression and anxiety, clinicians will conduct interviews with subjects. If large-scale screening is carried out, this method is too costly and difficult to implement. Because facial expressions play an important role in the diagnosis of clinicians, this provides an opportunity to solve this problem. Therefore, we recorded 303 subjects who answered the self-rated anxiety scale (SAS) and the self-rated depression scale (SDS) Video. Based on Convolutional Neural Networks (CNN) and Long Short-Term Memory Networks (LSTM), by using either of these two types of videos alone as a binary classification experiment, the accuracy of the diagnosis of depression is 72.53%, and the diagnosis of anxiety is 72.08%. In addition, by fusing the two types of videos to diagnose anxiety, depression, and normal in three categories, the accuracy of the model is 80.22%. Through the comparison of the results, the multimodal fusion diagnosis can not only diagnose the three categories but also has the highest accuracy. This model can be deployed on smartphones, not only for large-scale screening but also to assist doctors in diagnosis.

 
Important Date

  • Conference Date

    Nov 13

    2021

    to

    Nov 14

    2021

  • Sep 30 2021

    Contribution Submission Deadline

  • Nov 14 2021

    Registration deadline

Sponsored By
Medical Physics Branch of Chinese Society of Biomedical Engineering
IEEE Beijing Section
Life Electronics Society of Chinese Institute of Electronics
Organized By
Anhui Biomedical Engineering Society.
University of Science and Technology of China
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