High-Speed Continuous Wavelet Transform Processor for Vital Signal Measurement Using Frequency-Modulated Continuous Wave Radar

Bae, Chanhee; Lee, Seongjoo; Jung, Yunho

doi:10.3390/s22083073

Cited by 11 publications

(5 citation statements)

References 40 publications

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“…As the value of v increases, the discretization of the scale parameter becomes more precise. There are different types of wavelets [ 26 ] with various characteristics. In our algorithm, we use a Morlet wavelet and a generalized Morse wavelet to extract breathing and heart rate, respectively.…”

Section: Proposed Approach: Capturing Vital Signs Across Wide Anglesmentioning

confidence: 99%

Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar

Mehrjouseresht,

Hail,

Karsmakers

et al. 2024

Sensors

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This paper proposes a new approach for wide angle monitoring of vital signs in smart home applications. The person is tracked using an indoor radar. Upon detecting the person to be static, the radar automatically focuses its beam on that location, and subsequently breathing and heart rates are extracted from the reflected signals using continuous wavelet transform (CWT) analysis. In this way, leveraging the radar’s on-chip processor enables real-time monitoring of vital signs across varying angles. In our experiment, we employ a commercial multi-input multi-output (MIMO) millimeter-wave FMCW radar to monitor vital signs within a range of 1.15 to 2.3 m and an angular span of −44.8 to +44.8 deg. In the Bland–Altman plot, the measured results indicate the average difference of −1.5 and 0.06 beats per minute (BPM) relative to the reference for heart rate and breathing rate, respectively.

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Section: Proposed Approach: Capturing Vital Signs Across Wide Anglesmentioning

confidence: 99%

Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar

Mehrjouseresht,

Hail,

Karsmakers

et al. 2024

Sensors

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show abstract

“…1. The default mode after power-up or reset is the single-frequency signal mode, with a default value of zero in the frequency control word register [19]. The default value after power-up or reset defines a safe no-output state that produces a 0 Hz, 0 phase output signal.…”

Section: Signal Operating Modesmentioning

confidence: 99%

Digital Signal Processing Oriented Electronic Communication Engineering Applications and Practices

Wang

2024

3C TIC

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This paper first describes the applications of digital signal processors in software radio, speech compression coding, modems and GPS systems, demonstrating the versatility of digital signal processors in practical communication systems. Next, digital signal processing oriented electronic communication practices are presented in the system design section to design high performance communication systems for specific communication needs and environmental conditions. The digital signal processing platform used in the platform architecture is optimized for signal processing and data transmission. The BER is 0.008% when the signal-to-noise ratio is -10 dB. The time complexity of digital signal processing is 7.2 ms when the number of communication nodes is 1000. It shows that digital signal processing oriented electronic communication engineering is important for improving the performance, reliability and efficiency of communication systems.

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“…The transformation theory of IFFT is well-established and will not be discussed in detail in this paper. For further information, please refer to reference [10][11][12] .…”

Section: Low Order Cyclic Statistics Of Radiant Source Signalmentioning

confidence: 99%

Time-frequency preprocessing method of radiation source signal based on cyclic statistics

Huang

Yan

2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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To improve the real-time performance of radiation source signal time-frequency analysis, a fast radiation source signal time-frequency feature extraction method based on low-order cyclic statistics and Choi-Williams transform is proposed. First, the low-order cyclic statistics of the radiation source signal are calculated. Second, the IFFT is used to recover the cyclic domain signal, and the number of sampling points of the radiation source signal is adaptively controlled by the cyclic mean and IFFT point number. Finally, the recovered signal is used for CWD time-frequency analysis. In order to highlight the time-frequency image features, the geometric features of the signal modulation type are extracted using binary image transformation. Simulation analysis shows that the proposed time-frequency preprocessing method can significantly reduce the computational complexity while maintaining the accuracy of time-frequency features and improving real-time performance, providing effective support for subsequent sorting and recognition and parameter estimation work.

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High-Speed Continuous Wavelet Transform Processor for Vital Signal Measurement Using Frequency-Modulated Continuous Wave Radar

Cited by 11 publications

References 40 publications

Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar

Respiration and Heart Rate Monitoring in Smart Homes: An Angular-Free Approach with an FMCW Radar

Digital Signal Processing Oriented Electronic Communication Engineering Applications and Practices

Time-frequency preprocessing method of radiation source signal based on cyclic statistics

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