A Resolution Enhancement Technique for Remote Monitoring of the Vital Signs of Multiple Subjects Using a 24 Ghz Bandwidth-Limited FMCW Radar

Lee, Hyunjae; Kim, Byung-Hyun; Park, Jin Kwan; Kim, Sung Woo; Yook, Jong Gwan

doi:10.1109/access.2019.2961130

Cited by 44 publications

(13 citation statements)

References 31 publications

(21 reference statements)

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“…Owing to these properties, FMCW radar has been widely applied in various fields such as automotive control system [6], [7], gesture recognition [8], [9], structure monitoring [10], and waterlevel measurements [11], [12]. In biomedical applications, FMCW has been used for non-contact monitoring of vital signs (respiration and heartbeat) [1], [2], [13]- [17]. Because a non-contact vital sign monitor can operate continuously without user perception or inconveniences, it is useful for elderly home healthcare, prevention of sudden infant death…”

Section: Introductionmentioning

confidence: 99%

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Target Range Selection of FMCW Radar for Accurate Vital Information Extraction

2021

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Frequency modulated continuous wave (FMCW) radar, which can detect the range and small displacement of a target, has been used for contactless vital information extraction. For accurate vital sign (respiration and heartbeat) measurement, a precise selection of the target range bin, where vital information exists, is important. In this paper, an effective method for selecting the range bin with accurate vital information is proposed. The proposed method is based on the newly introduced magnitude-phase coherency (MPC) index. The experimental results show that the vital information extracted by the proposed method is more accurate than those by conventional methods, indicating that the proposed range bin selection based on MPC is an effective method for extracting accurate respiration and heartbeat rates.

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Section: Introductionmentioning

confidence: 99%

“…The general process of extracting vital signs from the FMCW radar signals mainly consists of spectral decomposition and range bin selection [1], [2], [13]- [17]. After the spectral decomposition using DFT, the magnitude and phase are attained at each range (or frequency) bin.…”

Section: Introductionmentioning

confidence: 99%

Target Range Selection of FMCW Radar for Accurate Vital Information Extraction

2021

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“…Fig. 17(b) shows the measured range estimation for two subjects at a distance of 100 cm [112], and (c) Measured respiration rate of these two subjects [112]. and 140 cm, while the measured respiration rate of these two subjects is illustrated in Fig.…”

Section: B Radar-based Respiratory Monitoringmentioning

confidence: 99%

Contact and Remote Breathing Rate Monitoring Techniques: A Review

et al. 2021

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Breathing rate monitoring is a must for hospitalized patients with the current coronavirus disease 2019 (COVID-19). We review in this paper recent implementations of breathing monitoring techniques, where both contact and remote approaches are presented. It is known that with non-contact monitoring, the patient is not tied to an instrument, which improves patients' comfort and enhances the accuracy of extracted breathing activity, since the distress generated by a contact device is avoided. Remote breathing monitoring allows screening people infected with COVID-19 by detecting abnormal respiratory patterns. However, non-contact methods show some disadvantages such as the higher set-up complexity compared to contact ones. On the other hand, many reported contact methods are mainly implemented using discrete components. While, numerous integrated solutions have been reported for non-contact techniques, such as continuous wave (CW) Doppler radar and ultrawideband (UWB) pulsed radar. These radar chips are discussed and their measured performances are summarized and compared. Index Terms-Chronic obstructive pulmonary diseases (COPD), COVID-19, breathing monitoring techniques, Doppler radar, ultra-wideband (UWB) pulse radar. I. INTRODUCTIONT TE main function of the respiratory system is gas exchange. Oxygen is transferred from the external ambient into our bloodstream, while carbon dioxide is expelled outside [1]. Fig. 1 illustrates the respiratory system including the upper and lower respiratory tract regions. When inhaling, the air flow passes through the larynx and the trachea, and then splits into two bronchi. Each bronchus is divided into two Manuscript

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“…Compared with continuous-wave (CW) Doppler radar, deramping-based frequency-modulated continuous-wave (FMCW) radar can discriminate human vital signs from different distances, which shows the potential for reducing the interferences from other targets and the environment [13]. A high number of studies have been carried out based on FMCW radar to measure the respiration and heartbeat [14]- [17]. The utilization of the mm-wave technique brings another improvement to this research field [18].…”

Section: Introductionmentioning

confidence: 99%

Remote Measurement of Human Vital Signs Based on Joint-Range Adaptive EEMD

Sun

Huang

et al. 2020

IEEE Access

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Remote techniques for measuring human vital signs have attracted great interests due to the benefits shown in medical monitoring and military applications. Compared with continuous-wave Doppler radar, frequency-modulated continuous-wave (FMCW) radar which can discriminate vital signs from different distances, shows potential for reducing the interferences from other targets and the environment. However, in the state-of-the-art algorithms, only one chirp per frame is utilized for FMCW-based vital sign monitoring. Moreover, the vital signal is extracted from only one range bin of the fast Fourier transform. Which does not make full utilization of the long system idle time, and loses the power distributed on other range bins. By exploiting the relationship between respiration and heartbeat vibrations, an adaptive identification embedded ensemble empirical mode decomposition (EEMD) method for joint-range spectral estimation is proposed to measure the heart rate. First, A multi-chirp processing is presented for a 2-dimensional phase accumulation. Then the phase signals from a sequence of range bins are decomposed with a fast adaptive identification process. Finally, with the identified heartbeat components, we solve a multiple measurement vectors problem to estimate the heart rate. Experimental results showed that, at the detection range from 1 m∼ 2.5 m, the proposed method can robustly distinguish the heartbeat from respiration and its harmonics and accurately estimate the heart rate with a root mean square error less than 6 bpm. INDEX TERMS Non-contact vital sign detection, ensemble empirical mode decomposition (EEMD), frequency-modulated continuous-wave (FMCW), multiple measurement vectors (MMV), mm-wave radar.

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A Resolution Enhancement Technique for Remote Monitoring of the Vital Signs of Multiple Subjects Using a 24 Ghz Bandwidth-Limited FMCW Radar

Cited by 44 publications

References 31 publications

Target Range Selection of FMCW Radar for Accurate Vital Information Extraction

Target Range Selection of FMCW Radar for Accurate Vital Information Extraction

Contact and Remote Breathing Rate Monitoring Techniques: A Review

Remote Measurement of Human Vital Signs Based on Joint-Range Adaptive EEMD

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