A Novel Scheme of High-Precision Heart Rate Detection With a mm-Wave FMCW Radar

Zhou, Min; Liu, Yunxue; Wu, Shie; Wang, Chengyou; Chen, Zekun; Li, Hongfei

doi:10.1109/access.2023.3303335

Cited by 6 publications

(1 citation statement)

References 57 publications

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“…On the other hand, the dependance on the temperature is usually considered a critical factor for the stability of the output frequency. The chip exhibits a 1 GHz average output frequency shift for quite a wide temperature range, i.e., from 10 • C to 90 • C. However, although the output frequency dependance on the temperature seriously affects the performance of FMCW radars, it can be also considered negligible in this scenario [29][30][31][32][33][34]. Indeed, by considering a target moving at the maximum unambiguous speed, the phase change across the measurement is π, i.e., a λ 4 displacement change.…”

Section: Continuous Phase History Detectionmentioning

confidence: 99%

Beneficial Effects of Self-Motion for the Continuous Phase Analysis of Ac-Coupled Doppler Radars

Ferro,

Li,

Scandurra

et al. 2024

Electronics

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This paper analyzes the beneficial effects on phase detection arising from the motion of an ac-coupled Doppler radar. Indeed, although the presence of an ac coupling stage suppresses the dc offset after the receiver RF output, due to the coupling capacitor, a high-pass behavior is introduced; the presence of a high-pass behavior leads to signal distortion, particularly for low Doppler frequencies, which are typical in many biomedical or industrial applications. Since the target displacement is usually extracted from the phase history, this effect might, in turn, worsen the overall accuracy of the system. Moreover, if the target alternates stationary and moving time intervals, the phase detection step becomes challenging. Indeed, during the stationary time, the output of the RF front-end shows only noise fluctuations that, in turn, result in uncorrelated phases which might be confused with the real target displacement. This negative effect might be avoided by keeping the radar continuously moving, thus exploiting what is usually considered a state that is negative and worthy of attention. In this contribution, this effect is addressed from a different perspective, and ad hoc experimental case studies are shown to demonstrate the effectiveness of the proposed system. This task has been accomplished through theoretical analysis and related experimental activity.

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Section: Continuous Phase History Detectionmentioning

confidence: 99%

Beneficial Effects of Self-Motion for the Continuous Phase Analysis of Ac-Coupled Doppler Radars

Ferro,

Li,

Scandurra

et al. 2024

Electronics

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Vital signs detection of moving targets using FMCW radar

Dai,

Zhang,

Luo

et al. 2024

Meas. Sci. Technol.

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The use of millimeter wave radar for vital sign detection of the human body is mostly focused on targets in a stationary state at present. However, the human body may shake or even move during actual detection. This article proposes a non-contact vital sign detection method for moving targets. Compared with detecting vital signs of stationary targets, detecting vital signs of moving targets requires determining the range bin where the targets are located at various times, extracting target phase information. The noise components such as movement and shaking contained in the phase need to be removed. In this paper, MTI is used to remove static components, an adaptive range bin selection method is proposed to determine the range bin where the targets are located, and the fluctuation of range bin selection is removed through moving average filtering. Wavelet transform is used to decompose the phase signal, remove shaking noise based on autocorrelation function, and reconstruct the life signal for different scale factors. A bandpass filter is used to separate the respiratory and heartbeat signals, and a notch filter is designed to suppress respiratory harmonic signals. The experimental results show that the proposed method can separate vital signs signals from the phase signals of moving targets, achieving detection of respiration and heartbeat. The average accuracy of respiration and heartbeat rate detection is 94.7% and 95.5%, respectively.

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An Adaptive Heart Rate Monitoring System Based on Algebraic Distance Minimization

Li,

Yang,

2024

IEEE Access

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A Novel Scheme of High-Precision Heart Rate Detection With a mm-Wave FMCW Radar

Cited by 6 publications

References 57 publications

Beneficial Effects of Self-Motion for the Continuous Phase Analysis of Ac-Coupled Doppler Radars

Beneficial Effects of Self-Motion for the Continuous Phase Analysis of Ac-Coupled Doppler Radars

Vital signs detection of moving targets using FMCW radar

An Adaptive Heart Rate Monitoring System Based on Algebraic Distance Minimization

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