Noncontact Multiple Heartbeats Detection and Subject Localization Using UWB Impulse Doppler Radar

Ren, Lingyun; Koo, Yun Seo; Wang, Haofei; Wang, Shaobin; Liu, Quanhua; Fathy, Aly E.

doi:10.1109/lmwc.2015.2463214

Cited by 99 publications

(40 citation statements)

References 8 publications

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“…The strategy is to position subjects and extract vital signals at each location. The typical approaches are UWB radar [23][24][25] and frequency-modulated continuous-wave (FMCW) Doppler radar. UWB radar has a high range resolution because of the wide bandwidth available through the emission of a narrow impulse; thus, it can easily localize the target.…”

Section: Introductionmentioning

confidence: 99%

A Novel Vital-Sign Sensing Algorithm for Multiple Subjects Based on 24-GHz FMCW Doppler Radar

et al. 2019

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A novel non-contact vital-sign sensing algorithm for use in cases of multiple subjects is proposed. The approach uses a 24 GHz frequency-modulated continuous-wave Doppler radar with the parametric spectral estimation method. Doppler processing and spectral estimation are concurrently implemented to detect vital signs from more than one subject, revealing excellent results. The parametric spectral estimation method is utilized to clearly identify multiple targets, making it possible to distinguish multiple targets located less than 40 cm apart, which is beyond the limit of the theoretical range resolution. Fourier transformation is used to extract phase information, and the result is combined with the spectral estimation result. To eliminate mutual interference, the range integration is performed when combining the range and phase information. By considering breathing and heartbeat periodicity, the proposed algorithm can accurately extract vital signs in real time by applying an auto-regressive algorithm. The capability of a contactless and unobtrusive vital sign measurement with a millimeter wave radar system has innumerable applications, such as remote patient monitoring, emergency surveillance, and personal health care.

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Section: Introductionmentioning

confidence: 99%

A Novel Vital-Sign Sensing Algorithm for Multiple Subjects Based on 24-GHz FMCW Doppler Radar

et al. 2019

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“…4b. To estimate the range, the DSFT is performed on (15), which has been widely applied in signal processing [44,45]. The result is given by:…”

Section: Range Estimatementioning

confidence: 99%

“…Ultra-wide band (UWB) impulse radar has been widely applied in indoor target localization, VS detection, and human fall detection by employing the continuous wave [5][6][7][8]. As a better alternative, UWB pulse radar has been widely used in moving target detection [3,9,10], through-wall imaging [11,12] and post-earthquake search and rescue [13][14][15] due to its insightful advantages such as strong permeability and excellent time resolution.…”

Section: Introductionmentioning

confidence: 99%

`Through-wall human being detection using UWB impulse radar

Liang

Zhang

et al. 2018

J Wireless Com Network

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Ultra-wideband (UWB) impulse radar plays an important role in contactless vital sign (VS) detection. The VS can be extracted remotely by acquiring the oscillations in the human chest. Unfortunately, it is usually challenging to identify VS due to the low signal-to-noise ratio (SNR) only based on the traditional fast Fourier transform (FFT) especially in complicated conditions. To extract VS accurately, this paper presents a new scheme by analyzing the skewness characteristic of the received UWB impulses, which are modulated by life activities. The distance from the human subject to the radar antenna can be calculated by performing the discrete short-time Fourier transform (DSFT) on skewness. The frequency of human respiratory movement can be estimated based on the developed ensemble empirical mode decomposition (EEMD)-based accumulation technique by canceling out the harmonics effectively. The performance of the developed detection method is tested with several experiments carried out in different environments.

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“…Bioradar technology has been widely applied to the areas such as noncontact medical measurement, through-the-wall surveillance and post-disaster rescue operation [1][2][3][4]. Bioradar-based detection and localization of multiple human targets through the wall is an emerging technology that has lots of civilian and military applications [5,6].…”

Section: Introductionmentioning

confidence: 99%

Through the Wall Imaging of Human Vital Signs Based on Uwb Mimo Bioradar

Liang¹,

Liu²,

Qi³

et al. 2018

PIER C

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Through-the-wall imaging (TWI) of human vital signs by bioradar is a hot research topic in recent years. Unknown wall parameters (mainly thickness and dielectric constant) are huge challenges for TWI. Ambiguities in wall parameters will degrade the image focusing quality, lower signal-to-noiseclutter ratio (SNCR) of vital signs, cause vital signs to be imaged away from their true positions and blur the close vital signs from multiple humans caused by the imaging resolution declination. A through-thewall propagation model of vital signs for multiple-input and multiple-output (MIMO) bioradar is first built to analyze the influence of wall on imaging. In order to obtain focused image of vital signs quickly, an imaging model and a novel autofocusing imaging method of vital signs are proposed in this paper. Since vital signs of human are weak and sensitive to interferences, the SNCR-enhanced imagery of vital signs after change detection (CD) is applied to evaluate the focusing quality of image. Reflections of wall in the stationary targets imaging result are line structure approximately, so Hough transform is used to extract the positions of the front edge and rear edge of wall automatically. Propagation time in the wall of electromagnetic waves is estimated and used to build the constraint relationship of wall parameters. The number of unknown parameters is reduced to only one and the efficiency of autofocusing imaging improves. Several cases, including the case of single human, multiple human objects close to each other and the case of non-human objects, are simulated. The magnetic resonance imaging (MRI) image of human chest is put into simulation scene. And then the simulation data of human vital signs are calculated by the finite-difference time-domain (FDTD) method. The results show that the proposed method can effectively estimate the wall parameters and improve the focusing performance of human vital signs. And also the kurtosis of image can be used as a feature to efficiently decide the human vital signs are existed or not. Thus the SNCR of vital signs and resolution of imaging are improved, which are beneficial for detection of vital signs. The position errors of human vital signs are also corrected.

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Noncontact Multiple Heartbeats Detection and Subject Localization Using UWB Impulse Doppler Radar

Cited by 99 publications

References 8 publications

A Novel Vital-Sign Sensing Algorithm for Multiple Subjects Based on 24-GHz FMCW Doppler Radar

A Novel Vital-Sign Sensing Algorithm for Multiple Subjects Based on 24-GHz FMCW Doppler Radar

`Through-wall human being detection using UWB impulse radar

Through the Wall Imaging of Human Vital Signs Based on Uwb Mimo Bioradar

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