Analysis of an Indoor Biomedical Radar-Based System for Health Monitoring

被引：143

作者：

Mercuri, Marco ^{[1
]}

Soh, Ping Jack ^{[1
,2
]}

Pandey, Gokarna ^{[1
]}

Karsmakers, Peter ^{[1
,3
]}

Vandenbosch, Guy A. E. ^{[1
]}

Leroux, Paul ^{[1
,3
]}

Schreurs, Dominique ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Elect Engn, B-3001 Louvain, Belgium

[2] Univ Malaysia Perlis, Sch Comp & Commun Engn, Arau 02600, Perlis, Malaysia

[3] Thomas More Univ, B-2440 Geel, Belgium

来源：

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES | 2013年 / 61卷 / 05期

关键词：

Fall detection; health monitoring; radar remote sensing; tagless localization; Zigbee communication; FALL DETECTION;

D O I：

10.1109/TMTT.2013.2247619

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Innovative technology approaches have been increasingly investigated for the last two decades aiming at human-being long-term monitoring. However, current solutions suffer from critical limitations. In this paper, a complete system for contactless health-monitoring in home environment is presented. For the first time, radar, wireless communications, and data processing techniques are combined, enabling contactless fall detection and tagless localization. Practical limitations are considered and properly dealt with. Experimental tests, conducted with human volunteers in a realistic room setting, demonstrate an adequate detection of the target's absolute distance and a success rate of 94.3% in distinguishing fall events from normal movements. The volunteers were free to move about the whole room with no constraints in their movements.

引用

页码：2061 / 2068

页数：8

共 16 条

[11]

Mercuri M., 2012, 2012 IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems (BioWireleSS), P53, DOI 10.1109/BioWireless.2012.6172729

[12] Optimized SFCW Radar Sensor Aiming at Fall Detection in a Real Room Environment [J].

Mercuri, Marco ;

Soh, Ping Jack ;

Boccia, Luigi ;

Schreurs, Dominique ;

Vandenbosch, Guy A. E. ;

Leroux, Paul ;

Amendola, Giandomenico .

2013 IEEE TOPICAL CONFERENCE ON BIOMEDICAL WIRELESS TECHNOLOGIES, NETWORKS, AND SENSING SYSTEMS (BIOWIRELESS), 2013, :4-6

[13] Fall detection - Principles and methods [J].

Noury, N. ;

Fleury, A. ;

Rurneau, P. ;

Bourke, A. K. ;

Laighin, G. ;

Rialle, V. ;

Lundy, J. E. .

2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, :1663-+

[14] A ROBUST FALL DETECTION SYSTEM FOR THE ELDERLY IN A SMART ROOM [J].

Yu, Miao ;

Naqvi, Syed Mohsen ;

Chambers, Jonathon .

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, :1666-1669

[15]

Yu XG, 2008, 2008 10TH IEEE INTERNATIONAL CONFERENCE ON E-HEALTH NETWORKING, APPLICATIONS AND SERVICES, P42, DOI 10.1109/HEALTH.2008.4600107

[16] A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound-Proof of Concept on Human Mimicking Doll Falls [J].

Zigel, Yaniv ;

Litvak, Dima ;

Gannot, Israel .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2009, 56 (12) :2858-2867

← 1 2 →