Real-Time Contactless Respiration Monitoring From a Radar Sensor Using Image Processing Method

Han, Weiqiao; Dai, Shaozhang; Yuce, Mehmet Rasit

doi:10.1109/jsen.2022.3199476

Cited by 12 publications

(6 citation statements)

References 45 publications

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“…According to the information in Figure 4, the analysis of movements (in particular of the body, the shoulders, or the position of the subject) was observed in 38.46% of the studies. As this method is carried out using radar systems or radar technology, the statistical data confirm the trend in recent years towards the widespread use of this method for recording cardiorespiratory activity [23,25,28,30,35,38,39,43,47,50,52,55,57,[60][61][62]64,[70][71][72][73]. At the same time, the method of monitoring based on the analysis of heart sounds (9.62% of the total) also includes the use of radar in the hardware part of the system [26,31,37,49,58].…”

mentioning

confidence: 57%

“…Table 3 provides information on the above technologies used in the publications included in this review. It is important to note that publications using more than one technology have been counted twice [27,42,62,64,65]. Below is a brief description of each of the above technologies for a fuller and more accurate understanding of their operation.…”

Section: Srq-1: Which Technologies Can Be Used For the Contactless Me...mentioning

confidence: 99%

“…However, it is worth noting that none of the selected articles highlighted the appearance of discomfort in the subjects. In addition to that, in some of the works mentioned in this review, studies were carried out to investigate the dependence of the results on the distance between the patient and the radar [30,37,41,43,52,57,58,64].…”

Section: • Interferometrymentioning

confidence: 99%

“…Finally, using interferometry technology, devices such as radars are applicable for monitoring cardiorespiratory activity. Among them, we can distinguish Doppler [23,26,31,50], ultrasonic [30], ultra-wideband [25,28,35,62,64,72], and continuous radars [26,31,[37][38][39]43,49,52,55,57,58,60,61]. Table 4 shows the frequency range used by these radars and the number of publications included in this review where the relevant radar type was mentioned.…”

Section: Srq-2: Which Sensors Are Used For Those Technologies?mentioning

confidence: 99%

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Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Boiko

Madrid

Seepold

2023

Sensors

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Sleep is essential to physical and mental health. However, the traditional approach to sleep analysis—polysomnography (PSG)—is intrusive and expensive. Therefore, there is great interest in the development of non-contact, non-invasive, and non-intrusive sleep monitoring systems and technologies that can reliably and accurately measure cardiorespiratory parameters with minimal impact on the patient. This has led to the development of other relevant approaches, which are characterised, for example, by the fact that they allow greater freedom of movement and do not require direct contact with the body, i.e., they are non-contact. This systematic review discusses the relevant methods and technologies for non-contact monitoring of cardiorespiratory activity during sleep. Taking into account the current state of the art in non-intrusive technologies, we can identify the methods of non-intrusive monitoring of cardiac and respiratory activity, the technologies and types of sensors used, and the possible physiological parameters available for analysis. To do this, we conducted a literature review and summarised current research on the use of non-contact technologies for non-intrusive monitoring of cardiac and respiratory activity. The inclusion and exclusion criteria for the selection of publications were established prior to the start of the search. Publications were assessed using one main question and several specific questions. We obtained 3774 unique articles from four literature databases (Web of Science, IEEE Xplore, PubMed, and Scopus) and checked them for relevance, resulting in 54 articles that were analysed in a structured way using terminology. The result was 15 different types of sensors and devices (e.g., radar, temperature sensors, motion sensors, cameras) that can be installed in hospital wards and departments or in the environment. The ability to detect heart rate, respiratory rate, and sleep disorders such as apnoea was among the characteristics examined to investigate the overall effectiveness of the systems and technologies considered for cardiorespiratory monitoring. In addition, the advantages and disadvantages of the considered systems and technologies were identified by answering the identified research questions. The results obtained allow us to determine the current trends and the vector of development of medical technologies in sleep medicine for future researchers and research.

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mentioning

confidence: 57%

Section: Srq-1: Which Technologies Can Be Used For the Contactless Me...mentioning

confidence: 99%

Section: • Interferometrymentioning

confidence: 99%

Section: Srq-2: Which Sensors Are Used For Those Technologies?mentioning

confidence: 99%

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Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Boiko

Madrid

Seepold

2023

Sensors

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“…Solids on Soli [32] delivers an extensive catalog of materials through which motion can be detected, which estimates the range of possible materials through which radar can detect movement. The 2D radar signal contains spatial information that is easier to interface with further pose or gesture recognition functions to extract useful information [65]. Thus, image processing with radar images generated from an ultrawideband (UWB) radar can produce respiration waveforms and recognize them in real time.…”

Section: B Radar-based Gesture Interaction Through Multiple Materialsmentioning

confidence: 99%

Analysis of User-Defined Radar-Based Hand Gestures Sensed Through Multiple Materials

Sluÿters,

Lambot,

Vanderdonckt

et al. 2024

IEEE Access

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Radar sensing can penetrate non-conducting materials, such as glass, wood, and plastic, which makes it appropriate for recognizing gestures in environments with poor visibility, limited accessibility, and privacy sensitivityWhile the performance of radar-based gesture recognition in these environments has been extensively researched, the preferences that users express for these gestures are less known. To analyze such gestures simultaneously according to their user preference and their system recognition performance, we conducted three gesture elicitation studies each with n 1 =30 participants to identify user-defined, radar-based gestures sensed through three distinct materials: the glass of a shop window, the wood of an office door, and polyvinyl chloride in an emergency. On this basis, we created a new dataset of nine selected gesture classes for n 2 =20 participants repeating twice the same gesture captured by radar through three materials, i.e., glass, wood, and polyvinyl chloride. To uniformly compare recognition rates in these conditions with sensing variations, a specifically tailored procedure was defined and conducted with one-shot radar calibration to train and evaluate a gesture recognizer. 'Wood' achieved the best recognition rate (96.44%), followed by 'Polyvinyl chloride' and 'Glass'. We perform a preference-performance analysis of the gestures by combining the agreement rate from the elicitation studies and the recognition rate from the evaluation.

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Review of Sleep Monitoring Research Based on Wireless Sensor

Hu,

Chen,

Zhao

et al. 2024

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Real-Time Contactless Respiration Monitoring From a Radar Sensor Using Image Processing Method

Cited by 12 publications

References 45 publications

Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Contactless Technologies, Sensors, and Systems for Cardiac and Respiratory Measurement during Sleep: A Systematic Review

Analysis of User-Defined Radar-Based Hand Gestures Sensed Through Multiple Materials

Review of Sleep Monitoring Research Based on Wireless Sensor

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