A 5.8 GHz phase- and self-injection-locked CMOS radar sensor chip for vital sign detector miniaturization

Wu, Ping-Hsun; Chung, Feng-Hsu; Hsu, Powen

doi:10.1109/mwsym.2016.7540170

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…Several architectures have been presented to implement CW doppler radar including homodyne [97] , heterodyne [98] , double-sideband [99] , direct IF sampling [94] , [100] – [103] , circularly Polarized [104] , and self-injection locking [105] . These architectures and their baseband signal processing have been reviewed in [106] .…”

Section: Non-contact Breathing Monitoring Techniquesmentioning

confidence: 99%

Contact and Remote Breathing Rate Monitoring Techniques: A Review

et al. 2021

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Breathing rate monitoring is a must for hospitalized patients with the current coronavirus disease 2019 (COVID-19). We review in this paper recent implementations of breathing monitoring techniques, where both contact and remote approaches are presented. It is known that with non-contact monitoring, the patient is not tied to an instrument, which improves patients' comfort and enhances the accuracy of extracted breathing activity, since the distress generated by a contact device is avoided. Remote breathing monitoring allows screening people infected with COVID-19 by detecting abnormal respiratory patterns. However, non-contact methods show some disadvantages such as the higher set-up complexity compared to contact ones. On the other hand, many reported contact methods are mainly implemented using discrete components. While, numerous integrated solutions have been reported for non-contact techniques, such as continuous wave (CW) Doppler radar and ultrawideband (UWB) pulsed radar. These radar chips are discussed and their measured performances are summarized and compared. Index Terms-Chronic obstructive pulmonary diseases (COPD), COVID-19, breathing monitoring techniques, Doppler radar, ultra-wideband (UWB) pulse radar. I. INTRODUCTIONT TE main function of the respiratory system is gas exchange. Oxygen is transferred from the external ambient into our bloodstream, while carbon dioxide is expelled outside [1]. Fig. 1 illustrates the respiratory system including the upper and lower respiratory tract regions. When inhaling, the air flow passes through the larynx and the trachea, and then splits into two bronchi. Each bronchus is divided into two Manuscript

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Section: Non-contact Breathing Monitoring Techniquesmentioning

confidence: 99%

Contact and Remote Breathing Rate Monitoring Techniques: A Review

et al. 2021

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“…Radar can realize noncontact measurement of cardiac activity states with its noncontact ability for high-precision displacement measurement. The radar frequencies commonly used to detect vital signs are mainly concentrated between 2 GHz and 100 GHz [1][2][3][4][5][6][7][8], with wavelengths ranging from 3 mm to 150 mm. Electromagnetic waves in this frequency range have good penetrability, allowing them to easily pass through ordinary media such as clothing and bedding.…”

Section: Introductionmentioning

confidence: 99%

Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar

Qu,

Wei,

Zhang

2023

Biosensors

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The heart is an important organ that maintains human life activities, and its movement reflects its health status. Utilizing electromagnetic waves as a sensing tool, radar sensors enable noncontact measurement of cardiac motion, offering advantages over conventional contact-based methods in terms of comfort, hygiene, and efficiency. In this study, the high-precision displacement detection algorithm of radar is applied to measure cardiac motion. Experimental is conducted using a single out-channel frequency modulated continuous wave (FMCW) radar operating in the ISM frequency band with a center frequency of 24 GHz and a bandwidth of 150 MHz. Since the detection signal is influenced by both respiratory and heartbeat movements, it is necessary to eliminate the respiratory signal from the measurement signal. Firstly, the harmonic composition of the respiratory signal is analyzed, and a method is proposed to calculate the parameters of the respiratory waveform by comparing the respiratory waveform coverage area with the area of the circumscribed rectangle. This allows for determining the number of respiratory harmonics, assisting in determining whether respiratory harmonics overlap with the frequency range of the heartbeat signal. Subsequently, a more accurate cardiac motion waveform is extracted. A reference basis is provided for extracting cardiac health information from radar measurement waveforms by analyzing the corresponding relationship between certain extreme points of the waveform and characteristic positions of the electrocardiogram (ECG) signal. This is achieved by eliminating the fundamental frequency component of the heartbeat waveform to emphasize other spectral components present in the heartbeat signal and comparing the heartbeat waveform, the heartbeat waveform with the fundamental frequency removed, and the heartbeat velocity waveform with synchronized ECG signals.

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Design of Self-Injection-Locked Radar System for Birds’ Wingbeat Frequency Detection

Chang

Kuo

2018

IEEE Sensors J.

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A 5.8 GHz phase- and self-injection-locked CMOS radar sensor chip for vital sign detector miniaturization

Cited by 5 publications

References 8 publications

Contact and Remote Breathing Rate Monitoring Techniques: A Review

Contact and Remote Breathing Rate Monitoring Techniques: A Review

Noncontact Cardiac Activity Detection Based on Single-Channel ISM Band FMCW Radar

Design of Self-Injection-Locked Radar System for Birds’ Wingbeat Frequency Detection

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