一种利用超宽带信号检测心率和呼吸频率的新算法。
A new algorithm for detection of heart and respiration rate with UWB signals.
作者信息
Baboli Mehran, Boric-Lubecke Olga, Lubecke Victor
机构信息
Electrical Engineering department of University of Hawaii at Manoa, Honolulu, HI 96822, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3947-50. doi: 10.1109/EMBC.2012.6346830.
Proposed is a detection algorithm for physiological monitoring with Ultra Wide Band (UWB) radar. This new algorithm is based on detection of movement energy in a specified band of frequency using wavelet and filter banks. One of the advantages of this algorithm is its ability to detect heart and respiration rates of a subject in an environment containing other motion. The heart movement is detected with the accuracy of 95% and respiration with the 100%. This algorithm has a repeatability of 93% which is a significant characteristic of the method.
提出了一种用于超宽带（UWB）雷达生理监测的检测算法。这种新算法基于使用小波和滤波器组在特定频段检测运动能量。该算法的优点之一是能够在存在其他运动的环境中检测受试者的心率和呼吸率。检测心脏运动的准确率为95%，检测呼吸的准确率为100%。该算法的可重复性为93%，这是该方法的一个显著特征。
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