Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 2
481-487

Detection of Parkinson's disease based on dynamic attention mechanism and multimodal circulant fusion

Zhu Jiaying
Xu Zhijing
College of Information Engineering, Shanghai Maritime University, Shanghai 200135, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0304

Abstract

Dyskinesia of Parkinson's disease(PD) can affect oral, pharynx, palatine muscles, and facial muscles, causing vocal cord tremor and facial dyskinesia, which makes it possible to identify PD patients by using voiceprints and facial features. To effectively utilize the above two features to improve PD detection rate, this paper proposed a multimodal circulant fusion model based on multiscale features and dynamic attention mechanism. Firstly, this paper designed a multi-scale feature extraction network to fuse semantic information of high and low level features to obtain complete feature information. Secondly, considering the correlation and complementarily between modalities in the process of multi-scale feature fusion, it proposed a dynamic attention mechanism algorithm to generate attention feature maps with different modal information as auxiliary conditions to each other, which could reduce the redundancy of information during feature fusion. Finally, multimodal circulant fusion model could obtain more efficient fusion features by calculating the Hadamard product between each row vector of circulant matrix and feature vector. The results of several sets of experiments on the self-built dataset show that the detection accuracy of the proposed method is as high as 96.24%, better than state-of-the-art unimodal and multimodal recognition algorithms. The method can effectively distinguish PD patients from healthy people and lay the foundation for efficient identification of PD patients.

Foundation Support

国家重点研发计划资助项目(2019YFB1600605)
上海市扬帆计划资助项目(20YF1416700)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0304
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 481-487
Serial Number: 1001-3695(2023)02-028-0481-07

Publish History

[2022-08-30] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

朱家英, 徐志京. 基于动态注意力机制和多模态循环融合的帕金森氏症识别 [J]. 计算机应用研究, 2023, 40 (2): 481-487. (Zhu Jiaying, Xu Zhijing. Detection of Parkinson's disease based on dynamic attention mechanism and multimodal circulant fusion [J]. Application Research of Computers, 2023, 40 (2): 481-487. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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