Microwave Measurement of Respiration

Lin, James C.; Salinger, Jeremy

doi:10.1109/mwsym.1975.1123362

Cited by 45 publications

(43 citation statements)

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“…In a static environment, the clutter can be considered as a DC-component in the slow-time direction. As a result, the only movement is caused by the cardiopulmonary respiration and heart activity, from (2) it is clear that background clutter does not depend on slow-time . Thus, we can use basic filter to remove the background clutter, which can be easily done by subtracting the mean from the matric .…”

Section: Mathematical Model Of Vital Signmentioning

confidence: 99%

“…Due to the noninvasive and noncontact specialties, short-range radar has been appealing in healthcare applications since 1970s, when the first short-range non-invasive microwave sensor for respiration measurement was introduced [2]. Because of the radar operation based on the principle of electromagnetic backscattering [3], radar is capable of both wirelessly detecting the chest-wall movements caused by respiration and extremely small heart beating, on the other hand, conventional medical devices like electrocardiograph (ECG) and respiration belt can only rely on electrodes and an inductive plethysmograph, which make the subjects uncomfortable, even worsen the physiological measure.…”

Section: Introductionmentioning

confidence: 99%

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

Hu¹,

Tian²

2016

Preprint

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Abstract:The designed radar sensor realizes the healthcare monitoring capable of short-range to detect the chest-wall movement of the subject caused by cardiopulmonary activities, and wirelessly estimating the distance from the sensor to the subject without any devices being attached to the body. Ensemble empirical mode decomposition (EEMD) based denoise method and 1-D continuous-wavelet transform (CWT) are applied for improving on the detection SNR so that accurate respiration rate and heartbeat rate can be acquired in time domain or frequency domain with further distance. No choosing the conventional Doppler radar only able to capture the Doppler signatures due to the lack of bandwidth information as noncontact sensor, we take full advantages of ultra-wideband (UWB) impulse radar to make it low power consumed and portable conveniently, with flexible detection range and preferable accuracy. This noncontact healthcare sensor system addressed proves the commercial feasibility and vast availability of using compact impulse radar for emerging biomedical applications. Compared with traditional contact measurement devices, experimental results utilizing the 2.3 GHz bandwidth transceiver, demonstrate 100% similar results.

show abstract

Section: Mathematical Model Of Vital Signmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Hu¹,

Tian²

2016

Preprint

View full text Add to dashboard Cite

show abstract

“…Due to its non-invasive and noncontact properties, short-range radar has been an appealing approach in healthcare applications since the 1970s, when the first short-range non-invasive radar for respiration measurement was introduced [2]. Based on the principle of electromagnetic backscattering [3], radar is capable of wirelessly detecting both chest-wall movements caused by respiration and extremely small heart beats.…”

Section: Introductionmentioning

confidence: 99%

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

Jin

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. Conventional single-tone Doppler radar can only capture Doppler signatures because of a lack of bandwidth information with noncontact sensors. In contrast, we take full advantage of impulse radio ultra-wideband (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 the continuous-wavelet transform (CWT) are proposed jointly to improve the signal-tonoise ratio (SNR) in order to acquire accurate respiration and heartbeat rates. Experimental results illustrate that respiration and heartbeat signals can be extracted accurately under different conditions. This noncontact healthcare sensor system proves the commercial feasibility and considerable accessibility of using compact IR-UWB radar for emerging biomedical applications.

show abstract

“…Due to its noninvasive and noncontact properties, short-range radar has been an appealing approach in healthcare applications since the 1970s, when the first short-range non-invasive radar for respiration measurement was introduced [2]. Based on the principle of electromagnetic backscattering [3], radar is capable of wirelessly detecting both chest-wall movements caused by respiration and extremely small heart beats.…”

Section: Introductionmentioning

confidence: 99%

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

Hu¹,

Jin²

2016

Preprint

View full text Add to dashboard Cite

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.

show abstract

Microwave Measurement of Respiration

Cited by 45 publications

References 0 publications

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

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

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

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

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