Key result
Adaptive UWB radar algorithm overcomes standard DFT limitations to extract real-time respiration and heartbeat signatures.
Why the study?
Extraction of accurate heart-beat fundamental frequency from micro-Doppler signatures using UWB radar is challenging due to spectral complexity and limitations of DFT.
A novel spectral estimation algorithm for UWB radar improves the extraction of respiration and heart-beat signatures compared to standard DFT.
May support contactless vital-sign monitoring; leaves open clinical validation and prospective trials.
Remote vital signs monitoring and tracking are of great importance for various applications including but not limited to baby monitoring, elderly care, human activity behind barriers, bio-medical and more. This paper deals with the extraction of micro-Doppler (uDoppler) signatures of a person’s respiration and heart-beat using a single transmitter (TX), single receiver (RX) Ultra Wide Band (UWB) impulse radar. The received spectrum contains the respiration and heart fundamental beat frequencies and their corresponding integer multiplicity harmonies as well as their mutual inter-modulations that appears due to the micro-Doppler frequency-modulation of the sinusoidal nature of the moving torso and heart, a fact that poses a difficulty in extracting the correct heart-beat fundamental harmony. Moreover, the commonly used Discrete Fourier Transform (DFT) is insufficient for differentiating close proximity spectral components, thus, an adaptive, real-time, novel, spectral estimation algorithm is proposed and experimental results are given.
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Regev et al. (2019) studied this question. Adaptive, real-time spectral estimation algorithm using UWB impulse radar vs. Discrete Fourier Transform (DFT) was evaluated on Extraction of micro-Doppler signatures of respiration and heart-beat. An adaptive, real-time spectral estimation algorithm using ultra-wide-band radar was proposed to extract respiration and heart-beat signatures, overcoming the limitations of standard DFT.
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