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Breathing and Heartrate Monitoring System using IR-UWB Radar

Conference Paper


Abstract


  • This paper provides a feasibility study of estimating the heartrate and the breathing rate, using the waveform spectrum recorded by impulse radio ultra wideband (IR-UWB) radar. An algorithm is proposed that helps to separate the heartrate signal from the breathing signal. Furthermore, a Kalman filter is introduced that helps to reduce the noise factor from the obtained waveforms. The simulation result shows that the proposed algorithm can effectively estimate the breathing rate up to 97-99% and the heartrate above 90 % accuracy as compared to the traditional clinical equipment such as electrocardiograph (ECG).

Publication Date


  • 2019

Citation


  • M. Raheel, J. Coyte, F. EM M. Tubbal, P. O. Ogunbona, C. F. Patterson & D. J. Perlman, "Breathing and Heartrate Monitoring System using IR-UWB Radar," in 13th International Conference on Signal Processing and Communication Systems (ICSPCS), 2019, pp. 1-5.

Scopus Eid


  • 2-s2.0-85082005709

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/3779

Start Page


  • 1

End Page


  • 5

Place Of Publication


  • United States

Abstract


  • This paper provides a feasibility study of estimating the heartrate and the breathing rate, using the waveform spectrum recorded by impulse radio ultra wideband (IR-UWB) radar. An algorithm is proposed that helps to separate the heartrate signal from the breathing signal. Furthermore, a Kalman filter is introduced that helps to reduce the noise factor from the obtained waveforms. The simulation result shows that the proposed algorithm can effectively estimate the breathing rate up to 97-99% and the heartrate above 90 % accuracy as compared to the traditional clinical equipment such as electrocardiograph (ECG).

Publication Date


  • 2019

Citation


  • M. Raheel, J. Coyte, F. EM M. Tubbal, P. O. Ogunbona, C. F. Patterson & D. J. Perlman, "Breathing and Heartrate Monitoring System using IR-UWB Radar," in 13th International Conference on Signal Processing and Communication Systems (ICSPCS), 2019, pp. 1-5.

Scopus Eid


  • 2-s2.0-85082005709

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/3779

Start Page


  • 1

End Page


  • 5

Place Of Publication


  • United States