A new wavelet based algorithm for estimating respiratory motion rate using UWB radar

Baboli, Mehran; Ghorashi, Seyed Ali; Saniei, Namdar; Ahmadian, Alireza

doi:10.1109/icbpe.2009.5384095

Cited by 32 publications

(15 citation statements)

References 5 publications

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“…Respiration has larger amplitude relative to the other micro-motion of human body, so it is easier to be detected by ultra-wide band (UWB) radar [1]- [3]. Many detection algorithms have been developed [4]- [8].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of UWB Pulse Radar for Life Detection

Chen

Dai

et al. 2011

2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control

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The detection of micro-motion of human body such as respiration is an effective way to detect the life trapped in rubble. Environment parameters and human states have a significantly influence on ultra-wide band (UWB) radar life detection. In this paper, a series of detection scenes are set for life detection. The received signals are processed to analyze the influence of the external factors on life detection.

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Section: Introductionmentioning

confidence: 99%

Experimental Study of UWB Pulse Radar for Life Detection

Chen

Dai

et al. 2011

2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control

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“…In Ref. [12] an algorithm based on wavelet transform is proposed for estimation of heart and breathing rates for continuous monitoring of a patient.…”

Section: Related Workmentioning

confidence: 99%

Vital sign monitoring of a non-stationary human through IR-UWB radar

Khan

Choi

Cho

2014

2014 4th IEEE International Conference on Network Infrastructure and Digital Content

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In this paper the vital sign monitoring of a non-stationary human are measured by combining vital sign monitoring algorithm with movement detection method. First respiration and heart beat rate for a stationary human are explained and then a method for movement detection is discussed. The movement detection method is based on the autocorrelation property of a signal. Once the movement is detected then the most recent measurement value (before the movement is detected) is considered as the measurements throughout the motion period. And then the measurement process is restored when object comes back to stationary state. Experimental results are given to prove the stability of the algorithm.

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“…The Morlet wavelet [32] is chosen as the mother wavelet to detect the frequencies in received denoised signals and then estimate the amplitude at each detected frequency. The Morlet wavelet is the most frequently used in practice because its simple numerical implementation and because the vanishing of the third-order differentiation of its phase can also simplify the computation [33].…”

Section: Separation Methods Based On the Continuous-wavelet Transformmentioning

confidence: 99%

Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar

Hu¹,

Jin²

2016

Preprint

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The radar sensor described realizes healthcare monitoring capable of detecting subject chest-wall movement caused by cardiopulmonary activities, and wirelessly estimating the respiration and heartbeat rates of the subject without attaching any devices to the body. No conventional Doppler only can capture Doppler signatures because of a lack of bandwidth information with noncontact sensors. In contrast, we take full advantages of impulse radio ultrawideband (IR-UWB) radar to achieve low power consumption and convenient portability, with a flexible detection range and desirable accuracy. A noise reduction method based on improved ensemble empirical mode decomposition (EEMD) and a vital sign separation method based on continuous-wavelet transform (CWT) are proposed jointly to improve the signal-to-noise ratio (SNR) in order to acquire accurate respiration and heartbeat rates. This noncontact healthcare sensor system proves the commercial feasibility and considerable accessibility of using compact IR-UWB radar for emerging biomedical applications. Compared with traditional contact measurement devices, experimental results utilizing a 2.3 GHz bandwidth transceiver, demonstrate 100% similar results.

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A new wavelet based algorithm for estimating respiratory motion rate using UWB radar

Cited by 32 publications

References 5 publications

Experimental Study of UWB Pulse Radar for Life Detection

Experimental Study of UWB Pulse Radar for Life Detection

Vital sign monitoring of a non-stationary human through IR-UWB radar

Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar

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