Computer aided interactive remote diagnosis using self-organizing maps

被引：0

作者：

Vörös, T ^{[1
]}

Keresztényi, Z ^{[1
]}

Fazekas, C ^{[1
]}

Laczkó, J ^{[1
]}

机构：

[1] Res Inst Tech Phys & Mat Sci, Dept Bioengn, Budapest, Hungary

来源：

PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2004年 / 26卷

关键词：

objective diagnosis; neural network; Parkinson's Disease; self-organizing map;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A software tool has been developed to support the objective diagnosis of patients with Parkinson's Disease (PD). Patients completed hand exercises using a personal computer mouse and data has been gathered for further studies. We have analyzed different parameters and suggest using a particular parameter vector containing median and standard deviation values for tracking the daily changes in PD patients' status. Using the classification abilities of self-organizing feature maps (SOFM) we were able to provide support for the diagnostic process.

引用

页码：3190 / 3193

页数：4

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