Parametric study of antennas for long range Doppler radar heart rate detection

Baboli, Mehran; Singh, Aditya; Hafner, Noah; Lubecke, Victor M.

doi:10.1109/embc.2012.6346786

Cited by 14 publications

(12 citation statements)

References 8 publications

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“…In Table 1, the titles are grouped in accordance with the radar types used, and within each category (group), they are sorted by the vital parameters measured. The number of test persons in the studies ranged from one test person [10,12,24,42,43,49,60,[85][86][87]108] to 212 test persons [98,99]. Five of the experiments were conducted with children and babies [17,45,84,88,89], eleven with miscellaneous patient groups [5,17,21,39,41,51,88,89,91,93,112] and one with animals [38], while seven experiments additionally measured a model [37,42,44,60,85,97] and two exclusively measured a model [90,92].…”

Section: Resultsmentioning

confidence: 99%

“…Five of the experiments were conducted with children and babies [17,45,84,88,89], eleven with miscellaneous patient groups [5,17,21,39,41,51,88,89,91,93,112] and one with animals [38], while seven experiments additionally measured a model [37,42,44,60,85,97] and two exclusively measured a model [90,92]. In 74 studies [2,3,[10][11][12][13]16,17,20,[22][23][24][25][26][27][28][29]36,40,43,[47][48][49][50][52]...…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology

Liebetruth,

Kehe,

Steinritz

et al. 2024

Sensors

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The use of radar technology for non-contact measurement of vital parameters is increasingly being examined in scientific studies. Based on a systematic literature search in the PubMed, German National Library, Austrian Library Network (Union Catalog), Swiss National Library and Common Library Network databases, the accuracy of heart rate and/or respiratory rate measurements by means of radar technology was analyzed. In 37% of the included studies on the measurement of the respiratory rate and in 48% of those on the measurement of the heart rate, the maximum deviation was 5%. For a tolerated deviation of 10%, the corresponding percentages were 85% and 87%, respectively. However, the quantitative comparability of the results available in the current literature is very limited due to a variety of variables. The elimination of the problem of confounding variables and the continuation of the tendency to focus on the algorithm applied will continue to constitute a central topic of radar-based vital parameter measurement. Promising fields of application of research can be found in particular in areas that require non-contact measurements. This includes infection events, emergency medicine, disaster situations and major catastrophic incidents.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology

Liebetruth,

Kehe,

Steinritz

et al. 2024

Sensors

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show abstract

“…There have been many advances in Doppler radar and its medical use [19], [20], [27]- [32]. Technical advances have led to compact radar modules and a better understanding of hardware requirements [33], [34]. Advances in signal processing have led to the detection of multiple subjects and detection of parameters such as respiratory tidal volume and respiratory sinus arrhythmia in addition to respiratory and heart rates [35], [36].…”

Section: Prms For Sleep Monitoringmentioning

confidence: 99%

Good Night: Sleep Monitoring Using a Physiological Radar Monitoring System Integrated with a Polysomnography System

et al. 2015

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T his article presents results from the integration of a noncontact physiological radar monitoring system (PRMS) with a type I polysomnography (PSG) system to perform sleep monitoring. The PRMS system consists of two continuous-wave Doppler radars operating at the industrial, scientific, and medical (ISM) band of 2.45 GHz. The system can acquire data, perform digital processing, and output appropriate conventional analog outputs with a latency of approximately 130 ms, which can be recorded and displayed by a gold standard sleep monitoring sys-tem along with other standard sensor measurements. Radar data was also used to successfully detect paradoxical motion that was simulated using linear movers and to categorize normal breathing, apnea, and hypopnea in sleeping subjects with obstructive sleep apnea (OSA). OSA Using PSGWith about 15 million Americans suffering from OSA [1], it is one of the most common health disorders. Studies show a relationship between sleep apnea and cardiovascular diseases. Many patients with heart

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“…Off-the-shelf radar kit designs have also been used for radar sleep monitoring and automated sleep apnea detection ( Zaffaroni et al., 2009 ; Savage et al., 2016 ). The use of appropriate signal processing can isolate respiratory and heart signals accurately even when the radar system is meters or even tens of meters away from the subject ( Droitcour et al., 2001 ; Baboli et al., 2012a ). Longer-range search and rescue triage applications of Doppler radar have also emerged.…”

Section: Introductionmentioning

confidence: 99%

Doppler radar remote sensing of respiratory function

et al. 2023

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Doppler radar remote sensing of torso kinematics can provide an indirect measure of cardiopulmonary function. Motion at the human body surface due to heart and lung activity has been successfully used to characterize such measures as respiratory rate and depth, obstructive sleep apnea, and even the identity of an individual subject. For a sedentary subject, Doppler radar can track the periodic motion of the portion of the body moving as a result of the respiratory cycle as distinct from other extraneous motions that may occur, to provide a spatial temporal displacement pattern that can be combined with a mathematical model to indirectly assess quantities such as tidal volume, and paradoxical breathing. Furthermore, it has been demonstrated that even healthy respiratory function results in distinct motion patterns between individuals that vary as a function of relative time and depth measures over the body surface during the inhalation/exhalation cycle. Potentially, the biomechanics that results in different measurements between individuals can be further exploited to recognize pathology related to lung ventilation heterogeneity and other respiratory diagnostics.

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Parametric study of antennas for long range Doppler radar heart rate detection

Cited by 14 publications

References 8 publications

Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology

Systematic Literature Review Regarding Heart Rate and Respiratory Rate Measurement by Means of Radar Technology

Good Night: Sleep Monitoring Using a Physiological Radar Monitoring System Integrated with a Polysomnography System

Doppler radar remote sensing of respiratory function

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