POSTUROGRAPHIC ASSESSMENT OF INCREASED FALL RISK

被引：0

作者：

Schnupp, T. ^{[1
]}

Schenka, A. ^{[1
]}

Walther, L. E. ^{[2
]}

Bloedow, A. ^{[3
]}

Golz, M. ^{[1
]}

机构：

[1] Univ Appl Sci Schmalkalden, Fac Comp Sci, Schmalkalden, Germany

[2] Univ Med Mannheim, Dept Otorhinolaryngol Head Neck Surg, Mannheim, Germany

[3] Helios Clin Berlin Buch, Dept Otorhinolaryngol, Berlin, Germany

来源：

BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK | 2013年 / 58卷

关键词：

posturography; fall risk; pattern recognition; artificial neural networks;

D O I：

10.1515/bmt-2013-4117

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Based on questionnaires and diagnosis by one senior medical specialist 28 patients were evaluated with respect to their fall risk and categorized into two classes (low / high fall risk). Posturography stabilograms were quantitatively analyzed by means of time as well as spectral domain techniques. Feature sets were analyzed with three different methods of discriminant analysis in order to evaluate how accurate the fall risk can be predicted. Classification results showed that mean accuracies of 86.1 % are achievable, but with large standard deviations of 19.3 %. Reducing the latter down to 8.4 % regretfully reduces also the first to 79.4 %. It is concluded that this pilot study failed in keeping with the needs of fall risk quantification in ORL surgery.

引用

页数：2

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