Fall detection - Principles and methods

被引：354

作者：

Noury, N. ^{[1
]}

Fleury, A. ^{[1
]}

Rurneau, P. ^{[2
]}

Bourke, A. K. ^{[3
]}

Laighin, G. ^{[3
]}

Rialle, V. ^{[1
]}

Lundy, J. E. ^{[4
]}

机构：

[1] Univ Grenoble 1, Lab TIMC IMAG, CNRS, UMR UJF 5525,Fac Med Grenoble, F-30706 La Tronche, France

[2] Hosp La Grave Casselardit, Toulouse, France

[3] Natl Univ Ireland Univ Coll Galway, Natl Ctr Biomed Engn Sci, Galway, Ireland

[4] Vigillo sa, Paris, France

来源：

2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16 | 2007年

关键词：

D O I：

10.1109/IEMBS.2007.4352627

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Fall detection of the elderly is a major public health problem. Thus it has generated a wide range of applied research and prompted the development of telemonitoring systems to enable the early diagnosis of fall conditions. This article is a survey of systems, algorithms and sensors, for the automatic early detection of the fall of elderly persons. It points out the difficulty to compare the performances of the different systems due to the lack of a common framework. It then proposes a procedure for this evaluation.

引用

页码：1663 / +

页数：2

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