Literature DB >> 22131095

Respiration-rate estimation of a moving target using impulse-based ultra wideband radars.

Azadeh Sharafi1, Mehran Baboli, Mohammad Eshghi, Alireza Ahmadian.   

Abstract

Recently, Ultra-wide band signals have become attractive for their particular advantage of having high spatial resolution and good penetration ability which makes them suitable in medical applications. One of these applications is wireless detection of heart rate and respiration rate. Two hypothesis of static environment and fixed patient are considered in the method presented in previous literatures which are not valid for long term monitoring of ambulant patients. In this article, a new method to detect the respiration rate of a moving target is presented. The first algorithm is applied to the simulated and experimental data for detecting respiration rate of a fixed target. Then, the second algorithm is developed to detect respiration rate of a moving target. The proposed algorithm uses correlation for body movement cancellation, and then detects the respiration rate based on energy in frequency domain. The results of algorithm prove an accuracy of 98.4 and 97% in simulated and experimental data, respectively.

Entities:  

Mesh:

Year:  2011        PMID: 22131095     DOI: 10.1007/s13246-011-0112-2

Source DB:  PubMed          Journal:  Australas Phys Eng Sci Med        ISSN: 0158-9938            Impact factor:   1.430


  3 in total

1.  Experimental Study of Wireless Monitoring of Human Respiratory Movements Using UWB Impulse Radar Systems.

Authors:  Xiaolin Liang; Yuankai Wang; Shiyou Wu; Thomas Aaron Gulliver
Journal:  Sensors (Basel)       Date:  2018-09-12       Impact factor: 3.576

2.  HEAR: Approach for Heartbeat Monitoring with Body Movement Compensation by IR-UWB Radar.

Authors:  Wenfeng Yin; Xiuzhu Yang; Lei Li; Lin Zhang; Nattapong Kitsuwan; Eiji Oki
Journal:  Sensors (Basel)       Date:  2018-09-13       Impact factor: 3.576

3.  An Algorithm Based Wavelet Entropy for Shadowing Effect of Human Detection Using Ultra-Wideband Bio-Radar.

Authors:  Huijun Xue; Miao Liu; Yang Zhang; Fulai Liang; Fugui Qi; Fuming Chen; Hao Lv; Jianqi Wang; Yang Zhang
Journal:  Sensors (Basel)       Date:  2017-09-30       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.