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

Baboli, Mehran; Singh, Aditya; Soll, Bruce; Borić–Lubecke, Olga; Lubecke, Victor M.

doi:10.1109/mmm.2015.2419771

Cited by 57 publications

(33 citation statements)

References 34 publications

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“…In recent years, the technological advances have triggered numerous studies on CW Doppler radars devoted on one hand to the miniaturization and sensitivity improvement [19,20] and on the other hand to their assessment in new applicative contexts [21][22][23][24][25][26]. In medicine, these radar systems have been proposed for preventing sudden infant death syndrome [22], tumor tracking in radiation therapy [22], sleep monitoring [23], imaging cardiac motion [24], monitoring of elderly subjects in smart homes [16], and detection of sleep breathing disorder episodes in living animals [25]. CW Doppler radars have been recently proposed also as intelligent occupancy sensors as an alternative or to be integrated with currently available sensors, i.e., based on ultrasound and passive infrared technology, which are characterized by a high rate of false alarms and failure to detect static subjects [26].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Through-Wall Situation Awareness Using a Microwave Doppler Radar Sensor

2016

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This paper deals with the development of a short-range radar suitable for the detection of humans behind visually opaque structures such as building walls. The system consists in a continuous wave Doppler radar operating in the S-band of the electromagnetic spectrum in order to ensure an adequate signal penetration through the walls. Based on the interaction of the electromagnetic waves with human targets, a phase modulation of the radar signal arises due to their movements and tiny periodic chest displacements associated with the respiratory activity. A simple and effective radar data processing algorithm is proposed to detect, in real-time, the presence of one or several human subjects in the through-wall scene. Such an algorithm automatically provides also an indication on whether the subjects are static or moving in the environment. As shown by experimental tests carried out in an indoor scenario, the proposed sensing device and related signal processing yields prompt and reliable information about the scene thus confirming its practical value.

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Section: Introductionmentioning

confidence: 99%

Real-Time Through-Wall Situation Awareness Using a Microwave Doppler Radar Sensor

2016

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“…The contactless measurement of vital signs with bioradar technique is valuable in several application fields such as security and surveillance, healthcare, and space medicine [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Recently non-contact microwave based transceivers have been also proposed in the biomedical field as diagnostic tools [5,7,9]. Indeed, the contactless monitoring of heartbeat and breathing parameters is crucial in the case of burnt patients or patients where on-body sensors cannot be applied.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, the contactless monitoring of heartbeat and breathing parameters is crucial in the case of burnt patients or patients where on-body sensors cannot be applied. In sleep medicine, bioradars enable the monitoring of respiration and heartbeat patterns during night sleep in order to diagnose sleep apnea syndrome [9]. Some other application examples of bioradar in healthcare are the detection of sudden infant death syndrome [2], tumor tracking in radiation therapy [2], and imaging of cardiac motion [10].…”

Section: Introductionmentioning

confidence: 99%

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Metrological Characterization for Vital Sign Detection by a Bioradar

et al. 2017

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Abstract:In space missions, during the long isolation at extreme conditions for human health, it is of paramount importance to monitor vital parameters. One such parameter is the breathing rate. Indeed, several factors can induce some breathing anomalies during the sleep, which may cause apnea episodes. In order to act timely with the right therapy, an early diagnosis is required. Conventional devices are usually uncomfortable since they require electrodes or probes in contact with the subject. An alternative way to perform this kind of measurement in a remote sensing modality is provided by a continuous wave bioradar operating in the microwave frequency band. This is an effective contactless tool for monitoring the respiratory activity through the measurement of chest deformation due to inhalation and exhalation. The radar emits a low power electromagnetic wave at a single frequency, which is reflected by the human chest. By measuring of the phase shift between the incident and reflected wave, it is possible to detect and monitor the respiratory rate. The main contribution of this work is concerned with a metrological characterization of the continuous wave bioradar; which is a topic not thoroughly assessed in the relevant literature. In particular, the bioradar measurements are also compared with data recorded by a spirometer, which is a standard medical device that measures the air volume inhaled and exhaled by the subject. The purpose of this study is the characterization of the measurement standard uncertainty to enable the assessment of the bioradar system performance.

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“…For example, integrated radar systems are used to detect human physiological movements and obtain long-term breathing pattern for sleep monitoring. 4,5 They are also used to monitor the heartbeat of lab mice 6 and cows in dairy farms. 7 As a non-contact tool for human-computer interface, millimeter-wave radar chip sets can recognize hand and finger gestures in real time.…”

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confidence: 99%