2002 · 34 citations · 4 references
MedicinePhysiologyComputer VisionPulmonologySleep MedicineRespiratory AssessmentRespiratory MonitoringRespiratory Signal AnalysisSleep-disordered BreathingSleep-related Breathing DisordersVital Signs AssessmentBreathing Pattern AnalysisPosture MonitoringRespiratory Event DetectionSleep Apnea MonitoringSleep Apnea SyndromeSleep Breathing MonitoringSleep-disordered Breathing AnalysisSleep-related Breathing Monitoring
The authors developed a real time system of image sequence analysis to evaluate both a subject's posture changes and respiration in bed. The system consists of a CCD video camera (used as the sensor), an image processing board and a PC. An image processing board that includes 256 CPUs detects optical flow (apparent velocity) of 256/spl times/240 pixels within 150 ms. The representative field-averaged velocity shows a waveform including two components with large peaks and a periodic fluctuation. The large peaks occur during posture change, and the periodic fluctuation corresponds to that of respiration obtained with a nasal thermistor. The system was tested in a nursing home, where it worked for 56 hours in total without any trouble. The authors found two sleep apnea syndrome patients who had not been diagnosed before the test.
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Berthold K. P. Horn, Brian G. Schunck · Artificial Intelligence · 1981 · 9.9K citations · Full text
Evaluation of Body Motion by Optical Flow Analysis
Kazuki Nakajima, Atsushi Osa, Tsuyoshi Maekawa et al. · Japanese Journal of Applied Physics · 1997 · 27 citations