A new wavelet based algorithm for estimating respiratory motion rate using UWB radar

UWB signals have become attractive for their particular advantage of having narrow pulse width which makes them suitable for remote sensing of vital signals. In this paper a novel approach to estimate periodic motion rates, using ultra wide band (UWB) signals is proposed. The proposed algorithm whic...

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Published in2009 International Conference on Biomedical and Pharmaceutical Engineering pp. 1 - 3
Main Authors Baboli, M., Ghorashi, S.A., Saniei, N., Ahmadian, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2009
Subjects
Antenna measurements
Bandwidth
Filter bank
Motion Detection
Motion estimation
Patient monitoring
Respiration Rate
Signal processing algorithms
Transceivers
Ultra wideband antennas
Ultra wideband radar
UWB
wavelet
Wavelet transforms
Online AccessGet full text
ISBN1424447631
9781424447633
ISSN1947-1386
DOI10.1109/ICBPE.2009.5384095

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Abstract UWB signals have become attractive for their particular advantage of having narrow pulse width which makes them suitable for remote sensing of vital signals. In this paper a novel approach to estimate periodic motion rates, using ultra wide band (UWB) signals is proposed. The proposed algorithm which is based on wavelet transform is used as a non-contact tool for measurement of respiration motion rate. Compared with traditional contact measurement devices, experimental results utilizing a 3.2 GHz bandwidth transceiver, demonstrate 99% similar results. The standard deviation of the proposed algorithm for 30 independent experiments has obtained 19% for respiration motion.
AbstractList UWB signals have become attractive for their particular advantage of having narrow pulse width which makes them suitable for remote sensing of vital signals. In this paper a novel approach to estimate periodic motion rates, using ultra wide band (UWB) signals is proposed. The proposed algorithm which is based on wavelet transform is used as a non-contact tool for measurement of respiration motion rate. Compared with traditional contact measurement devices, experimental results utilizing a 3.2 GHz bandwidth transceiver, demonstrate 99% similar results. The standard deviation of the proposed algorithm for 30 independent experiments has obtained 19% for respiration motion.
Author Saniei, N.
Baboli, M.
Ahmadian, A.
Ghorashi, S.A.
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  organization: Res. Center for Sci. & Technol. in Med., Tehran Univ. of Med. Sci., Tehran, Iran
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SubjectTerms Antenna measurements
Bandwidth
Filter bank
Motion Detection
Motion estimation
Patient monitoring
Respiration Rate
Signal processing algorithms
Transceivers
Ultra wideband antennas
Ultra wideband radar
UWB
wavelet
Wavelet transforms
Title A new wavelet based algorithm for estimating respiratory motion rate using UWB radar
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