DocumentCode
651465
Title
Harmonic Path (HAPA) algorithm for non-contact vital signs monitoring with IR-UWB radar
Author
Van Nguyen ; Javaid, Abdul Q. ; Weitnauer, Mary Ann
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2013
fDate
Oct. 31 2013-Nov. 2 2013
Firstpage
146
Lastpage
149
Abstract
We introduce the Harmonic Path (HAPA) algorithm for estimation of heart rate (HR) and respiration rate (RR) with Impulse Radio Ultrawideband (IR-UWB) radar. A well known result is that a periodic movement, such as the lung wall or heart wall movement, induces a fundamental frequency and its harmonics. IR-UWB enables capture of these spectral components and frequency domain processing enables a low cost implementation. Most existing methods try to identify the fundamental component to estimate the HR and/or RR. However, often the fundamental is distorted or cancelled by interference, such as RR harmonics interference on the HR fundamental, leading to significant error for HR estimation. HAPA is the first reported algorithm to take advantage of the HR harmonics, where there is less interference, to achieve more reliable and robust estimation of the fundamental frequency. Example experimental results for HR estimation demonstrate how our algorithm eliminates errors caused by interference.
Keywords
bioelectric potentials; biomedical communication; electrocardiography; harmonic distortion; lung; medical signal detection; medical signal processing; pneumodynamics; ultra wideband radar; HAPA algorithm; IR-UWB radar; RR harmonics interference; frequency domain processing; harmonic path algorithm; heart rate estimation; heart wall periodic movement; impulse radio ultrawideband radar; lung wall periodic movement; noncontact vital sign monitoring; respiration rate estimation; spectral component processing; Estimation; Frequency estimation; Harmonic analysis; Heart rate; Monitoring; Radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
Conference_Location
Rotterdam
Type
conf
DOI
10.1109/BioCAS.2013.6679660
Filename
6679660
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