Millimeter wave radar for remote measurement of vital signs

Petkie, Douglas T.; Benton, Carla; Bryan, Erik

doi:10.1109/radar.2009.4977021

Cited by 45 publications

(29 citation statements)

References 4 publications

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“…When combining the two signals, the body motion can be canceled. Other methods studied the RBM elimination using either two-frequency radar [19] or multi-frequency interferometric radar [20]. However, these studies have some drawbacks.…”

Section: Models and Processing Of A Moving Personmentioning

confidence: 99%

Heartbeat rate measurement using microwave systems: single-antenna, two-antennas, and modeling a moving person

El-Samad

Obeid

Zaharia

et al. 2018

Analog Integr Circ Sig Process

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This paper presents a microwave system for heartbeat rate measurement. This system is based on using a vector network analyzer and horn antennas. The system generates a continuous wave signal toward a person's chest then the reflected signal is analyzed. The phase difference between the emitted and the reflected signals contains information about the chest movement; hence, the heartbeat rate can be extracted. In this work, several scenarios for detecting the heart activity are considered. The first scenario aims to provide a comparative study for using single-antenna and two-antennas microwave systems. Several radiated powers are considered in this scenario. Simultaneously with the microwave system, a wireless electrocardiograph is used as reference in order to determine the accuracy of the system. Measurements are performed in both cases when breathing normally and when holding the breath. The second scenario aims to test the ability of detecting the heartbeat activity of a person while moving. Measurements are performed while the subject walks towards the radar. Modeling is used for this purpose. The operating frequency used is 20 GHz in both scenarios. Signals are processed using wavelet transform and results show the ability to extract the heartbeat rate even with the presence of body movement.

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Section: Models and Processing Of A Moving Personmentioning

confidence: 99%

Heartbeat rate measurement using microwave systems: single-antenna, two-antennas, and modeling a moving person

El-Samad

Obeid

Zaharia

et al. 2018

Analog Integr Circ Sig Process

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show abstract

“…Other carrier frequencies could also be used to detect the vital sign, as demonstrated in [13]- [15]. A simple diagram of the radar can be seen in Fig.…”

Section: B Radarmentioning

confidence: 99%

Tidal Volume Measurement Through Non-Contact Doppler Radar With DC Reconstruction

et al. 2013

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This paper describes the calibration technique for a non-contact Doppler radar to monitor respiration and tidal volume in human subjects. The detected change in sensor output, reflecting the displacement of lung movement, is found to relate linearly to tidal volume. The DC reconstruction and calibration techniques are used to extract the tidal volume measurement from the radar signal. Comparison of the radar prediction and reference tidal volumes shows the average mean difference (d) to be −38.9 ml in seated subjects and 23.5 ml in supine subjects. Other chest wall displacement measurements from piezo-electric sensors at the upper and lower torso reports worsed: −40.6 ml and −54.8 ml in seated subjects and 246.6 ml and 68.5 ml in supine subjects. The predicted volumes are not significantly affected by either frequency of respiration or variation in subjects. The results in this paper show that Doppler radar could provide a valuable tool for the noncontact and unobtrusive measurement of tidal volume in human subjects.

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“…The carrier frequency should be carefully selected to ensure suitable sensitivities and characteristic response for vital sign measurement. Some studies used extremely highfrequency waves (228 GHz (Petkie et al, 2009)), which have shorter wavelengths and are more sensitive to small displacements. Moreover, a 228 GHz frequency prototype has been extended to perform heart rate and respiration measurements at a distance of 50 m. However, such high frequency waves are not realistic for monitoring vital signs in everyday applications.…”

Section: Carrier Frequency and Output Powermentioning

confidence: 99%