中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (48): 9029-9032.doi: 10.3969/j.issn.1673-8225.2010.48.024

• 数字化骨科 digital orthopedics • 上一篇    下一篇

基于三维加速度传感器设计的跌倒检测

张爱华1,王  璐2   

  1. 兰州理工大学,  1电气工程与信息工程学院,2计算机与通信学院,甘肃省兰州市 730050
  • 出版日期:2010-11-26 发布日期:2010-11-26
  • 作者简介:张爱华☆,女,1964年生,河北省永年县人,汉族,2005年在西安交通大学毕业,博士,教授,博士生导师,主要从事生物医学信号检测与处理研究。 zhangah@lut.cn

Tumble detection based on three-dimensional acceleration transducer

Zhang Ai-hua1, Wang Lu2   

  1. 1 School of Electrical and Information Engineering, 2 School of Computer and Communication, Lanzhou University of Technology, Lanzhou  730050, Gansu Province, China
  • Online:2010-11-26 Published:2010-11-26
  • About author:Zhang Ai-hua☆, Doctor, Professor, Doctoral supervisor, School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, Gansu Province, China zhangah@lut.cn

摘要:

背景:老年人的机体会随着年龄的增长而发生一定的变化,急、慢性疾病的病理性改变可能会影响感觉输入、中枢神经系统功能和骨骼肌肉力量的协调,从而导致老年人发生意外跌倒的事故也越来越多。如果在日常生活中,老年人发生跌倒的时候,能够及时发现,就能避免更严重的后果。
目的:设计一个基于三维加速度传感器的跌倒检测装置。
方法:结合ZigBee无线通信技术,设计一个基于三维加速度传感器的跌倒检测装置。将采集的加速度信号通过ZigBee方式无线发送至上位机进行数据分析处理。
结果与结论:实验证实,该装置可以实现对跌倒发生的准确判断,并能对发生跌倒的类型进行分类,使得老年人在发生跌倒后可以及时得到医疗救护,并为医生对老年人的健康状况的判断提供了可参考的信息。

关键词: 跌倒检测, 信号特征识别, 加速度传感, 跌倒, 数字化医学

Abstract:

BACKGROUND: Body of the elderly changes along with aging. Pathological changes of acute and chronic diseases may influence sense input, central nervous system function and skeletal muscle strength coordination, leading to extremely high probability on tumble. In daily life, falls of the elderly may cause serious consequence.
OBJECTIVE: To design a tumble detection device based on three-dimensional acceleration technology.
METHODS: A tumble detection device was designed based on the three dimensional acceleration and ZigBee wireless communication technology. The collected acceleration signals were sent to PC by ZigBee wireless communication for data analysis and processing.
RESULTS AND CONCLUSION: Results of experiments show that this equipment can achieve an accurate judgment on tumble occurrence, and is able to classify the type of tumble, so the elderly may obtain timely medical aid after tumbles. Moreover, it provides information for doctor to judge the health of older persons.

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