Radar-Based Monitoring of Vital Signs: A Tutorial Overview

Paterniani, Giacomo; Sgreccia, Daria; Davoli, Alessandro; Guerzoni, Giorgio; Viesti, Pasquale Di; Valenti, Anna Chiara; Vitolo, Marco; Vitetta, G.M.; Boriani, Giuseppe

doi:10.1109/jproc.2023.3244362

Cited by 53 publications

(12 citation statements)

References 138 publications

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“…where f min is the minimal frequency of the FMCW radar with an increasing frequency, R is the displacement, and c is the speed of light. Paterniani and colleagues provided a more detailed explanation of the details of the FMCW signal and its processing in [6]. For a person in front of a radar, inhalation causes the torso to inflate and move towards the device.…”

Section: Radar Technology For Extraction Of Vital Signsmentioning

confidence: 99%

Evaluation of Lateral Radar Positioning for Vital Sign Monitoring: An Empirical Study

Hornig,

Szmola,

Pätzold

et al. 2024

Sensors

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Vital sign monitoring is dominated by precise but costly contact-based sensors. Contactless devices such as radars provide a promising alternative. In this article, the effects of lateral radar positions on breathing and heartbeat extraction are evaluated based on a sleep study. A lateral radar position is a radar placement from which multiple human body zones are mapped onto different radar range sections. These body zones can be used to extract breathing and heartbeat motions independently from one another via these different range sections. Radars were positioned above the bed as a conventional approach and on a bedside table as well as at the foot end of the bed as lateral positions. These positions were evaluated based on six nights of sleep collected from healthy volunteers with polysomnography (PSG) as a reference system. For breathing extraction, comparable results were observed for all three radar positions. For heartbeat extraction, a higher level of agreement between the radar foot end position and the PSG was found. An example of the distinction between thoracic and abdominal breathing using a lateral radar position is shown. Lateral radar positions could lead to a more detailed analysis of movements along the body, with the potential for diagnostic applications.

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Section: Radar Technology For Extraction Of Vital Signsmentioning

confidence: 99%

Evaluation of Lateral Radar Positioning for Vital Sign Monitoring: An Empirical Study

Hornig,

Szmola,

Pätzold

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…contains only white noise or, if variations due to a target are present. 1 1 Note, that also the static part r potentially depends on the target. However, to avoid false positives due to e.g.…”

Section: System Modelmentioning

confidence: 99%

“…Radar will become a pervasive technology through the advent of civilian applications e.g. in assisted living for vital-sign monitoring [1] and human activity recognition [2]. Similarly, radar can be deployed in the passenger cabin of a car, e.g.…”

Section: Introductionmentioning

confidence: 99%

Car Occupancy Detection Using Ultra-Wideband Radar

Möderl

Pernkopf

Witrisal

2022

2021 18th European Radar Conference (EuRAD)

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We present a data-driven car occupancy detection algorithm using ultra-wideband radar based on the ResNet architecture. The algorithm is trained on a dataset of channel impulse responses obtained from measurements at three different activity levels of the occupants (i.e. breathing, talking, moving). We compare the presented algorithm against a state-of-the-art car occupancy detection algorithm based on variational message passing (VMP). Our presented ResNet architecture is able to outperform the VMP algorithm in terms of the area under the receiver operating curve (AUC) at low signal-to-noise ratios (SNRs) for all three activity levels of the target. Specifically, for an SNR of −20 dB the VMP detector achieves an AUC of 0.87 while the ResNet architecture achieves an AUC of 0.91 if the target is sitting still and breathing naturally. The difference in performance for the other activities is similar. To facilitate the implementation in the onboard computer of a car we perform an ablation study to optimize the tradeoff between performance and computational complexity for several ResNet architectures. The dataset used to train and evaluate the algorithm is openly accessible. This facilitates an easy comparison in future works.

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“…WIFI-based sensors cannot obtain the accurate physical characteristics of the target 7 . Compared to the above sensors, radar-based sleep monitoring has been intensively explored in recent years and has become an alternative to non-contact technology for in-house monitoring due to the advantages such as independence from light, strong penetrability, and good personal privacy protection 5 .…”

Section: Introductionmentioning

confidence: 99%

Human presence detection based on combination of long- and short-term micro-motion features using millimeter wave radar

Lu,

Lv,

Yang

2024

Fifteenth International Conference on Signal Processing Systems (ICSPS 2023)

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This paper proposes a human presence detection method based on the combination of long and short-term micro-motion features using milli-meter wave (MMW) radar. It can be divided into three parts: potential moving target detection, micromotion parameters estimation, and multi-timescale integrated human presence detection. For the first part, we used the constant false alarm rate (CFAR) detector to detect potential moving targets. For the second part, we estimated the micromotion parameters, such as target status, respiratory rate, body movement index, and target location. For the third part, we extracted the long-term and short-term micro-motion features related to the above obtained parameters by considering different cases of human activities. Then, we perform human and interference recognition based on the above features. Finally, a large number of experiments, considering 11 situations under natural wind or fan blowing curtains, bed curtains, mosquito nets moving, and fan rotation, are conducted. Compared with the traditional CFAR detector, the proposed method can significantly improve the detection of human presence under conditions of interference in sleeping scenarios.

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Radar-Based Monitoring of Vital Signs: A Tutorial Overview

Cited by 53 publications

References 138 publications

Evaluation of Lateral Radar Positioning for Vital Sign Monitoring: An Empirical Study

Evaluation of Lateral Radar Positioning for Vital Sign Monitoring: An Empirical Study

Car Occupancy Detection Using Ultra-Wideband Radar

Human presence detection based on combination of long- and short-term micro-motion features using millimeter wave radar

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