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.
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页数：2
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