Comparison and validation of capacitive accelerometers for health care applications

被引：25

作者：

Buesching, Felix ^{[1
]}

Kulau, Ulf ^{[1
]}

Gietzelt, Matthias ^{[2
,3
]}

Wolf, Lars ^{[1
]}

机构：

[1] Tech Univ Carolo Wilhelmina Braunschweig, Inst Operating Syst & Comp Networks, D-38106 Braunschweig, Germany

[2] Tech Univ Carolo Wilhelmina Braunschweig, Inst Technol, Peter L Reichertz Inst Med Informat, D-38106 Braunschweig, Germany

[3] Hannover Med Sch, D-38106 Braunschweig, Germany

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2012年 / 106卷 / 02期

关键词：

Accelerometer; Gait analysis; Fall detection; Activity monitoring; Wireless sensor networks; Evaluation;

D O I：

10.1016/j.cmpb.2011.10.009

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Fall detection, gait analysis and context recognition are examples of applications where capacitive accelerometers are widely used in health care. In most of the existing work, algorithms were developed for a specific platform and accelerometers were used without explicitly choosing a specific type. With this work we present an inexpensive and practical test setup for replicable and repeatable testing of accelerometers. In addition we use this setup to evaluate six of the most commonly available accelerometers today and list their outcomes for linearity, power consumption and correlation of the tested sensors. We also attempt to an answer to the question of whether applications and algorithms developed for one platform and one type of accelerometer can be easily transferred to another accelerometer. (c) 2011 Elsevier Ireland Ltd. All rights reserved.

引用

页码：79 / 88

页数：10

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