DocumentCode
463457
Title
Blind Separation of Human Heartbeats and Breathing by the use of a Doppler Radar Remote Sensing
Author
Petrochilos, N. ; Rezk, M. ; Host-Madsen, Anders ; Lubecke, V. ; Boric-Lubecke, O.
Author_Institution
Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA
Volume
1
fYear
2007
fDate
15-20 April 2007
Abstract
The combined use of a Doppler radar with digital signal processing technique gives an effective non-invasive remote sensing of heart beat signals. Initial results have showed that the proposed technique is very promising in successfully isolating desired heart beat signals from other mobile objects and other distortion effects characterizing the wireless channel. We concentrate in this paper on the harder problem of separating at low SNR the signals from two subjects in the same room. We show that preliminary results obtained by the real analytical constant modulus algorithm (RACMA) and the independent component analysis (ICA) on experimental data are very promising into this goal.
Keywords
Doppler radar; blind source separation; distortion; independent component analysis; medical signal detection; remote sensing; wireless channels; Doppler radar remote sensing; blind separation; breathing; distortion effects; heart beat signals; human heartbeats; independent component analysis; noninvasive remote sensing; real analytical constant modulus algorithm; signal processing technique; wireless channel; Algorithm design and analysis; Digital signal processing; Distortion; Doppler radar; Heart beat; Humans; Independent component analysis; Remote sensing; Signal processing; Wireless sensor networks; Antenna Array; Blind Source Separation; Doppler Radar; Heartbeat Detection; Independent Component Analysis; Real Analytical Constant Modulus Algorithm; Remote Sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location
Honolulu, HI
ISSN
1520-6149
Print_ISBN
1-4244-0727-3
Type
conf
DOI
10.1109/ICASSP.2007.366684
Filename
4217084
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