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一种嵌入衣物中的遥测系统,用于室内定位和老年人健康监测。

A telemetry system embedded in clothes for indoor localization and elderly health monitoring.

机构信息

CNRS, LAAS, Toulouse F-31400, France.

出版信息

Sensors (Basel). 2013 Sep 4;13(9):11728-49. doi: 10.3390/s130911728.

DOI:10.3390/s130911728
PMID:24008286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3821369/
Abstract

This paper presents a telemetry system used in a combined trilateration method for the precise indoor localization of the elderly who need health monitoring. The system is based on the association of two wireless technologies: ultrasonic and 802.15.4. The use of the 802.15.4 RF signal gives the reference starting time of the ultrasonic emission (time difference of arrival method). A time of flight measurement of the ultrasonic pulses provides the distances between the mobile node and three anchor points. These distance measurements are then used to locate the mobile node using the trilateration method with an accuracy of a few centimetres. The originality of our work lies in embedding the mobile node in clothes. The system is embedded in clothes in two ways: on a shoe in order to form a "smart" shoe and in a hat in order to form a "smart" hat. Both accessories allow movements, gait speed and distance covered to be monitored for health applications. Experiments in a test room are presented to show the effectiveness of our system.

摘要

本文提出了一种遥测系统,用于结合三边测量法对需要健康监测的老年人进行精确的室内定位。该系统基于两种无线技术的结合:超声波和 802.15.4。使用 802.15.4 RF 信号给出了超声波发射的参考起始时间(到达时间差方法)。超声波脉冲的飞行时间测量提供了移动节点与三个锚点之间的距离。然后,使用三边测量法根据这些距离测量值对移动节点进行定位,定位精度可达几厘米。我们工作的新颖之处在于将移动节点嵌入到衣物中。该系统通过两种方式嵌入到衣物中:嵌入到鞋子中以形成“智能”鞋,以及嵌入到帽子中以形成“智能”帽。这两种配件都可以监测运动、步态速度和覆盖距离,用于健康应用。本文还展示了在测试室中进行的实验,以证明我们系统的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/1b11139048da/sensors-13-11728f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/c4fbac433af0/sensors-13-11728f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/23df5e668346/sensors-13-11728f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/3495b608c8f6/sensors-13-11728f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/3dff35476e4e/sensors-13-11728f5.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/582c6bc55dae/sensors-13-11728f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/ce0a951857a4/sensors-13-11728f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/d5d981283731/sensors-13-11728f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/b7215b662f56/sensors-13-11728f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/bd30cac34aae/sensors-13-11728f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/18781f40bb31/sensors-13-11728f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/888aba2e1261/sensors-13-11728f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/32f03a32232e/sensors-13-11728f14.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/91c1d7f751b2/sensors-13-11728f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/b37e2068c09b/sensors-13-11728f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/54b0948d682b/sensors-13-11728f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/1b11139048da/sensors-13-11728f19.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/c4fbac433af0/sensors-13-11728f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/c69e81aaf17e/sensors-13-11728f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/23df5e668346/sensors-13-11728f3.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/3dff35476e4e/sensors-13-11728f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/5a3aa7f63cf0/sensors-13-11728f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/582c6bc55dae/sensors-13-11728f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/ce0a951857a4/sensors-13-11728f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/d5d981283731/sensors-13-11728f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/b7215b662f56/sensors-13-11728f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/bd30cac34aae/sensors-13-11728f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/18781f40bb31/sensors-13-11728f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/888aba2e1261/sensors-13-11728f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/32f03a32232e/sensors-13-11728f14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/7a9240fb66c5/sensors-13-11728f15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/91c1d7f751b2/sensors-13-11728f16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/b37e2068c09b/sensors-13-11728f17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/54b0948d682b/sensors-13-11728f18.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3235/3821369/1b11139048da/sensors-13-11728f19.jpg

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本文引用的文献

1
Characterizing walking activity in people with stroke.中风患者步行活动特征分析。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5211-4. doi: 10.1109/IEMBS.2011.6091289.
2
Ambulatory estimation of foot placement during walking using inertial sensors.使用惯性传感器对行走时的足部位置进行动态估计。
J Biomech. 2010 Dec 1;43(16):3138-43. doi: 10.1016/j.jbiomech.2010.07.039. Epub 2010 Aug 17.
3
SVM-based multimodal classification of activities of daily living in Health Smart Homes: sensors, algorithms, and first experimental results.
Sensors (Basel). 2017 Sep 12;17(9):2092. doi: 10.3390/s17092092.
基于支持向量机的健康智能家居中日常生活活动多模态分类:传感器、算法及初步实验结果
IEEE Trans Inf Technol Biomed. 2010 Mar;14(2):274-83. doi: 10.1109/TITB.2009.2037317. Epub 2009 Dec 11.
4
Smart homes for people with neurological disability: state of the art.神经残疾人士的智能家居:现状。
NeuroRehabilitation. 2009;25(3):209-17. doi: 10.3233/NRE-2009-0517.
5
A review of smart homes- present state and future challenges.智能家居综述——现状与未来挑战
Comput Methods Programs Biomed. 2008 Jul;91(1):55-81. doi: 10.1016/j.cmpb.2008.02.001. Epub 2008 Mar 25.
6
A system for automatic measurement of circadian activity deviations in telemedicine.一种用于远程医疗中昼夜活动偏差自动测量的系统。
IEEE Trans Biomed Eng. 2002 Dec;49(12):1463-9. doi: 10.1109/TBME.2002.805452.
7
Frailty in older adults: evidence for a phenotype.老年人的衰弱:一种表型的证据。
J Gerontol A Biol Sci Med Sci. 2001 Mar;56(3):M146-56. doi: 10.1093/gerona/56.3.m146.