Movement and respiration detection using statistical properties of the FMCW radar signal

Kiuru, Tero; Metso, Mikko; Jardak, Seifallah; Pursula, Pekka; Häkli, Janne; Hirvonen, Mervi; Sepponen, Raimo

doi:10.1109/gsmm.2016.7500331

Cited by 12 publications

(9 citation statements)

References 5 publications

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“… Illustration of the frequency modulated continuous wave (FMCW) radar principle [ 6 ]. Using a frequency sweep allows to compute the distance from the radar to the target.…”

Section: Figurementioning

confidence: 99%

“…Yet, wearable and other attachable devices can cause eczema and they depend on a sufficient contact to operate. In contrast, remote monitoring is contactless, unobtrusive, and could monitor several vital signs simultaneously while providing more user-friendly monitoring in various environments [ 4 , 5 , 6 , 7 ]. Remote monitoring with radar technology could reform sleep monitoring at home and nursing homes by removing the often disturbing tactile sensation of a wearable device and the wired sensors that tend to detach.…”

Section: Introductionmentioning

confidence: 99%

“…Periodic variations in the measured radar signal, which are caused by micromotions on the body surface, can convey information regarding the two vital signs considered herein: heart rate and respiration rate. In this paper, we study a frequency modulated continuous wave (FMCW) radar developed at VTT Technical Research Centre of Finland [ 6 , 10 ]. Similar millimetre wave chipsets and development boards capable of time domain multiplexing are also available commercially [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

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Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios

Antikainen

Kortelainen

Antropov

et al. 2020

Sensors

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Remote monitoring of vital signs for studying sleep is a user-friendly alternative to monitoring with sensors attached to the skin. For instance, remote monitoring can allow unconstrained movement during sleep, whereas detectors requiring a physical contact may detach and interrupt the measurement and affect sleep itself. This study evaluates the performance of a cost-effective frequency modulated continuous wave (FMCW) radar in remote monitoring of heart rate and respiration in scenarios resembling a set of normal and abnormal physiological conditions during sleep. We evaluate the vital signs of ten subjects in different lying positions during various tasks. Specifically, we aim for a broad range of both heart and respiration rates to replicate various real-life scenarios and to test the robustness of the selected vital sign extraction methods consisting of fast Fourier transform based cepstral and autocorrelation analyses. As compared to the reference signals obtained using Embla titanium, a certified medical device, we achieved an overall relative mean absolute error of 3.6% (86% correlation) and 9.1% (91% correlation) for the heart rate and respiration rate, respectively. Our results promote radar-based clinical monitoring by showing that the proposed radar technology and signal processing methods accurately capture even such alarming vital signs as minimal respiration. Furthermore, we show that common parameters for heart rate variability can also be accurately extracted from the radar signal, enabling further sleep analyses.

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“… Illustration of the frequency modulated continuous wave (FMCW) radar principle [ 6 ]. Using a frequency sweep allows to compute the distance from the radar to the target.…”

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios

Antikainen

Kortelainen

Antropov

et al. 2020

Sensors

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“…The third and last mode of operation senses respiration and movement inside a room [26]. It compares the statistical fluctuation of the signal's amplitude and phase to reliably identify if a person is breathing, holding his breath or moving in front of the radar unit.…”

Section: Respiration and Movement Detectionmentioning

confidence: 99%

Compact mmWave FMCW radar: Implementation and performance analysis

Jardak

Alouini

Kiuru

et al. 2019

IEEE Aerosp. Electron. Syst. Mag.

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The evolution of single-chip high-frequency circuits helped manufacture radars with better accuracy, lower costs, and smaller footprints. This paper describes a compact 24 GHz frequency-modulated-continuous-wave radar that can be used to aid the visually impaired during their outdoor journeys. The project helps partially or totally blind people avoid collision with their environment without the use of a white cane. Details about the implemented signal processing algorithms are also given. Although its main purpose is to assist the visually impaired, the device can perform diverse tasks such as rangedirection mapping, velocity estimation, presence detection, and vital sign monitoring. The experimental result section demonstrates the device's capabilities through different use-cases.

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“…Meanwhile, the large bandwidth is used, it gives several disadvantages, such as the complexity of its hardware and the problems of its interference. Frequency Modulation Continuous Wave (FMCW) radar system has been investigated for detecting human respiration also [7].…”

Section: Introductionmentioning

confidence: 99%

Single-Tone Doppler Radar System for Human Respiratory Monitoring

Ambarini¹,

Pramudita²,

Ali³

et al. 2018

EECSI

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Human respiration activities can be identified from the chest wall movement. In developing a non-contacting sensor for human respiration, the chest wall movement can be detected as a Doppler shift. Therefore, the Doppler radar is potential to be implemented for the non-contacting sensor previously mention. In this paper, the Single-Tone Doppler radar which operates at 10 GHz has been studied and proposed for detecting human respiration. The simulation experimental is performed for investigating the capability of the proposed method in detecting the human respiration parameter such as respiration rate and respiration amplitude. The results show that the proposed method is capable to extract the human respiration parameter.

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Movement and respiration detection using statistical properties of the FMCW radar signal

Cited by 12 publications

References 5 publications

Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios

Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios

Compact mmWave FMCW radar: Implementation and performance analysis

Single-Tone Doppler Radar System for Human Respiratory Monitoring

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