Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar

Figures

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  Figure 1. Schematic map of received signal with one respiratory motion and no static targets. t and τ represent the slow-time and fast-time, respectively.

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  Figure 2. Flowchart of the proposed detection method.

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  Figure 3. Traditional FIR filtering method.

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  Figure 4. Noise reduction method based on improved EEMD algorithm [28].

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  Figure 5. Normalized amplitudes and SNRs of different scales in terms of corresponding peak frequency based on prior knowledge.

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  Figure 6. Flowchart of the separation method using the Morlet CWT.

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  Figure 7. Transmitted signal in the time domain and frequency domain. (a) Pulse generator time domain output; (b) pulse generator output spectra.

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  Figure 8. IR-UWB radar system.

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  Figure 9. Experimental setup. (a) Experimental scenario; (b) the radar sensor and DynaMap Suite.

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  Figure 10. Comparison of results using the FIR filter and the proposed method. (a) The original waveforms obtained after clutter suppression; (b) respiration waveforms obtained via the FIR band-pass filter; (c) respiration waveforms obtained via the proposed method; (d) heartbeat waveforms obtained via the FIR band-pass filter; (e) heartbeat waveforms obtained via the proposed method.

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  Figure 11. Performance of noise reduction. (a) Comparison of original vital sign signal with the denoised signal; (b) noise removed after denoising processing.

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  Figure 12. Performance of separation.