2018
DOI: 10.1109/tim.2017.2779358
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Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor

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Cited by 68 publications
(32 citation statements)
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“…In the applications of adults, Deng et al [10] presented a design and implementation of a novel sleep monitoring system that simultaneously analyzed respiration, head posture, and body posture for adults. For respiration, the region of breathing movement was automatically determined and the intensity estimated, yielding a waveform indicating respiratory rhythms with an accuracy of 96% in recognizing abnormal breathing.…”
Section: Related Workmentioning
confidence: 99%
“…In the applications of adults, Deng et al [10] presented a design and implementation of a novel sleep monitoring system that simultaneously analyzed respiration, head posture, and body posture for adults. For respiration, the region of breathing movement was automatically determined and the intensity estimated, yielding a waveform indicating respiratory rhythms with an accuracy of 96% in recognizing abnormal breathing.…”
Section: Related Workmentioning
confidence: 99%
“…Contactless monitoring systems may overcome these issues related to placing sensors on patients and influence the measurand [13]. Mainly, solutions based on the analysis of depth changes of the torso using time-of-flight sensors [14] during breathing, low-power ultra wideband impulse radio radar [15,16], and laser Doppler vibrometers [17,18,19] have been designed and tested. Principal limitations of such solutions are related to the high cost of the instrumentation, need for specialized operators, and, in some cases, a low signal-to-noise ratio.…”
Section: Introductionmentioning
confidence: 99%
“…However, these imaging modalities are expensive, not portable, and is unable to perform long-time nocturnal video recording. More works adopted NIR camera [30,31] and computer vision techniques to extract body movement and chest respiration. The use of a NIR video camera to analyze movement patterns of a sleeping subject promises an attractive alternative.…”
Section: Noncontact Sensors For Sleep Behavior Analysismentioning
confidence: 99%