A New Algorithm For Detection Motion Rate Based on Energy in Frequency Domain Using UWB Signals

摘要：

The goal of this paper is to design and evaluate a new practical algorithm for wireless detection of human respiration rate behind an obstacle using UWB signals. First, a motion phantom is designed for simulating chest cavity motion which the frequency and range of its motion are fully controlled by user. Then, Experiments are carried on the phantom by a 3.2 GHz Ultra Wide-Band (UWB) transceiver. Using a new algorithm the motion rate of phantom was detected behind and obstacle. The results show an accuracy of 98% for detecting periodic movement of motion phantom. The speed of algorithms is evaluated for hardware implementation. The result shows the capability of this algorithm for using in on-line applications.

作者: Azadeh Sharafi Mehran Baboli Mohammad Eshghi

作者单位: Faculty of Electrical and Computer Engineering, Shahid Beheshti University,Tehran, Iran

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）