基于偏序拓扑图的帕金森病语音障碍分析方法

doi:10.3969/j.issn.0258-8021.2019.01.008

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Abstract In this paper, we proposed a novel dysphonic analysis method on Parkinson′s disease based on partially ordered topological graph from the view of formal concept analysis. Firstly, we constructed a representation (method) named partially ordered topological graph (POT graph) from attribute topology and attribute partially ordered graph, which gained the ability of concept searching and hierarchical concept tree structure representation. Coloring and briefing the concept tree could obtain the brief concept tree. The concept classification structure of the analysis object could be obtained according to the partial order relation of the brief concept tree. Applying the method to concept searching in Parkinson′s disease dataset, results showed that the POT graph could not only analyze the relationship between Parkinson′s disease and speech feature in the view of formal concept, but also be used as a diagnostic basis for data analysis. Results obtained from several Parkinson′s disease datasets(the numbers of sample are 197, 5875, 1040 and 220)showed that the average precision was 76.64% by POT graph. Compared with the classical classifier such as LDA (67.36%), QDA (70.83%), kNN (71.83%), Parzen window (70.24%), and SVM (74.61%), our result was higher than SVM 2.72%. In conclusion, the proposed method could be beneficial to the dysphonic analysis of Parkinson′s disease.

Key words： Parkinson′s disease partially ordered topological graph formal concept analysis concept tree

Received: 02 November 2017

PACS:

R318

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	Articles by authors
	Zhang Tao
	Jiang Peipei
	Li Lin
	Zhang Xiaojuan

Cite this article:

Zhang Tao,Jiang Peipei,Li Lin, et al. Dysphonic Analysis of Parkinson′s Disease Based on Partially Ordered Topological Graph[J]. Chinese Journal of Biomedical Engineering, 2019, 38(1): 59-69.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2019.01.008 OR http://cjbme.csbme.org/EN/Y2019/V38/I1/59

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