DETERMINATION OF GAIT PARAMETERS FROM THE WEARABLE MOTION ANALYSIS SYSTEM eSHOE

被引：1

作者：

Jagos, H. ^{[1
]}

Reich, S. ^{[2
]}

Rattay, F. ^{[4
]}

Mehnen, L. ^{[2
]}

Pils, K. ^{[3
]}

Wassermann, C. ^{[3
]}

Chhatwal, C. ^{[3
]}

Reichel, M. ^{[2
]}

机构：

[1] CEIT Raltec, Schwechat, Austria

[2] Univ Appl Sci Tech Wien, Vienna, Austria

[3] Sozialmed Zentrum Sophienspital, Vienna, Austria

[4] Vienna Univ Technol, Vienna, Austria

来源：

BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK | 2013年 / 58卷

关键词：

gait analysis; geriatric assessment; cross-correlation; pattern recognition; feature extraction;

D O I：

10.1515/bmt-2013-4241

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Limitation of mobility often leads to considerable loss in quality of life. The mobile motion analysis system eSHOE represents a new method for the detection of gait parameters, in order to enable monitoring of the rehabilitation processes. The system has been tested in a pilot study at a geriatric hospital in Vienna. Autocorrelation and cross-correlation analyses proved to be suitable methods for the extraction of gait parameters from eSHOE data. Based on the results a method for gait symmetry determination will be developed as a next step.

引用

页数：2

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