A UWB Radar Signal Processing Platform for Real-Time Human Respiratory Feature Extraction Based on Four-Segment Linear Waveform Model

@article{Hsieh2016AUR,
  title={A UWB Radar Signal Processing Platform for Real-Time Human Respiratory Feature Extraction Based on Four-Segment Linear Waveform Model},
  author={Chi-Hsuan Hsieh and Yu-Fang Chiu and Yi-Hsiang Shen and Yu-Hsien Kao and Yuan-Hao Huang},
  journal={IEEE Transactions on Biomedical Circuits and Systems},
  year={2016},
  volume={10},
  pages={219-230}
}
This paper presents an ultra-wideband (UWB) impulse-radio radar signal processing platform used to analyze human respiratory features. Conventional radar systems used in human detection only analyze human respiration rates or the response of a target. However, additional respiratory signal information is available that has not been explored using radar detection. The authors previously proposed a modified raised cosine waveform (MRCW) respiration model and an iterative correlation search… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 22 references

The chirp z-transform algorithm-a lesson in serendipity

IEEE Signal Processing Magazine • 2004
View 3 Excerpts
Highly Influenced

Fitting piecewise linear regression functions to biological responses.

Journal of applied physiology • 1989
View 3 Excerpts
Highly Influenced

A scalable direct-sampling broadband radar receiver supporting simultaneous digital multibeam array in 65nm CMOS

2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers • 2013
View 5 Excerpts

Polar format synthetic aperture radar in energy efficient application-specific logic-in-memory

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2012
View 1 Excerpt

Vital signs monitoring with a UWB radar based on a correlation receiver

Proceedings of the Fourth European Conference on Antennas and Propagation • 2010
View 1 Excerpt

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