Doppler Radar Noncontact Vital Sign Monitoring

Li, Lu; Gu, Changzhan; Li, Changzhi; Lin, Jenshan

doi:10.1007/978-1-4614-8151-5_3

Cited by 6 publications

(4 citation statements)

References 40 publications

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“…The relative movement between the ULA and targets gives rise to the doppler shift in the received frequency, as a result of the change in distance between adjacent wavefronts of S T and S R . The relationship between target-speed and the received RF is given by [17], [18] …”

Section: A Doppler Radarmentioning

confidence: 99%

“…Once the received signal is downconverted (by mixing the received signal with the transmitted signal) the multi-dimensional spectrum shows the temporal frequency shift (Δf ) between the two signals, which corresponds to the relative velocity of the object, assuming c >> v, as expressed by [17], [18] v = Δfc f c…”

Section: A Doppler Radarmentioning

confidence: 99%

“…Since the frequency is swept linearly, it results in the down converted signal containing an intermediate frequency corresponding to the frequency shift between the transmitted and received signal, which is directly proportional to the range of the scatterer. The frequency shift of the chirped mode signal used to detect the range profiles (R s ) of static scatterers expressed by the relation [18], [19] …”

Section: A Doppler Radarmentioning

confidence: 99%

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Aperture-array directional sensing using 2-D beam digital filters with doppler-radar front-ends

Randeny

Madanayake

Sengupta

et al. 2015

2015 Moratuwa Engineering Research Conference (MERCon)

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A directional sensing algorithm is proposed employing doppler radar and low-complexity 2-D IIR spatially bandpass filters. The speed of the scatterer is determined by the frequency shift of the received signal following down-conversion. The downconversion is done by mixing it with the instantaneous transmitted signal. The direction of the scatterer is determined by the means of 2-D plane-wave spectral characteristics, using 2-D IIR beam filters. The proposed architecture was simulated for three scatterers at 10, o 30, o 60 o from array broadside, traveling at speeds of 31 ms, −1 18 ms −1 and 27 ms −1 , respectively. A doppler radar module was used to transmit and receive reflected signals, that has a carrier frequency of 2.4 GHz. Simulations show both direction and doppler information being enhanced.

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Section: A Doppler Radarmentioning

confidence: 99%

Section: A Doppler Radarmentioning

confidence: 99%

Section: A Doppler Radarmentioning

confidence: 99%

See 1 more Smart Citation

Aperture-array directional sensing using 2-D beam digital filters with doppler-radar front-ends

Randeny

Madanayake

Sengupta

et al. 2015

2015 Moratuwa Engineering Research Conference (MERCon)

Self Cite

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“…In a zoological setting these innate dangerous behaviors are compounded by the confines of the facilities, while in their natural habitat, these species are likely to be extremely difficult to approach or capture. It is also dangerous to measure physiological parameters of some wild animals using conventional measurement systems because of their indocility [9,10]. Consequently, non-contact systems for tracking animal cardiopulmonary signals have attracted much attention.…”

Section: Introductionmentioning

confidence: 99%

A Pilot Study for Estimating the Cardiopulmonary Signals of Diverse Exotic Animals Using a Digital Camera

Al-Naji

Tao

Smith

et al. 2019

Sensors

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Monitoring the cardiopulmonary signal of animals is a challenge for veterinarians in conditions when contact with a conscious animal is inconvenient, difficult, damaging, distressing or dangerous to personnel or the animal subject. In this pilot study, we demonstrate a computer vision-based system and use examples of exotic, untamed species to demonstrate this means to extract the cardiopulmonary signal. Subject animals included the following species: Giant panda (Ailuropoda melanoleuca), African lions (Panthera leo), Sumatran tiger (Panthera tigris sumatrae), koala (Phascolarctos cinereus), red kangaroo (Macropus rufus), alpaca (Vicugna pacos), little blue penguin (Eudyptula minor), Sumatran orangutan (Pongo abelii) and Hamadryas baboon (Papio hamadryas). The study was done without need for restriction, fixation, contact or disruption of the daily routine of the subjects. The pilot system extracts the signal from the abdominal-thoracic region, where cardiopulmonary activity is most likely to be visible using image sequences captured by a digital camera. The results show motion on the body surface of the subjects that is characteristic of cardiopulmonary activity and is likely to be useful to estimate physiological parameters (pulse rate and breathing rate) of animals without any physical contact. The results of the study suggest that a fully controlled study against conventional physiological monitoring equipment is ethically warranted, which may lead to a novel approach to non-contact physiological monitoring and remotely sensed health assessment of animals. The method shows promise for applications in veterinary practice, conservation and game management, animal welfare and zoological and behavioral studies.

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A Short-Time Autocorrelation Method for Noncontact Detection of Heart Rate Variability Using CW Doppler Radar

Nguyen

Lyu

Lin

et al. 2019

2019 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)

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Doppler Radar Noncontact Vital Sign Monitoring

Cited by 6 publications

References 40 publications

Aperture-array directional sensing using 2-D beam digital filters with doppler-radar front-ends

Aperture-array directional sensing using 2-D beam digital filters with doppler-radar front-ends

A Pilot Study for Estimating the Cardiopulmonary Signals of Diverse Exotic Animals Using a Digital Camera

A Short-Time Autocorrelation Method for Noncontact Detection of Heart Rate Variability Using CW Doppler Radar

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