Statistical algorithm for detection and screening sleep apnea

A non-invasive method for detection and screening obstructive sleep apnea (OSA) using a TOF camera. The camera is mounted to record the subject's thorax and abdomen from above; two signals describing the movement of the thorax and abdomen, respectively, are obtained by averaging the range values in two fixed regions of interest. Normally, these two signals are in phase, but during an OSA event, they are out of phase. The algorithm detects when the signals are out of phase, and so it is possible to detect an OSA event. When the subject turns in such a way that only an overall respiration signal can be measured, it may be possible to detect OSA events according to unusually low respiration amplitude. This algorithm is used in a new non-invasive method for monitoring the sleep and the recording of sleep apnea events, and the statistics of these events give an indication about the sleep quality.

[1]  Luca Lombardi,et al.  Tracking without Background Model for Time-of-Flight Cameras , 2009, PSIVT.

[3]  Luigi di Stefano,et al.  People Tracking Using a Time-of-Flight Depth Sensor , 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

[4]  Alex Pentland,et al.  Pfinder: Real-Time Tracking of the Human Body , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  G. Man,et al.  Obstructive sleep apnea. Diagnosis and treatment. , 1996, The Medical clinics of North America.

[6]  Akihito Umezu,et al.  Modified thoracic impedance plethysmography to monitor sleep apnea syndromes. , 2005, Sleep medicine.

[7]  P. Lévy,et al.  Differentiating obstructive and central sleep respiratory events through pulse transit time. , 1998, American journal of respiratory and critical care medicine.

[8]  E. Svanborg,et al.  Development of nocturnal respiratory disturbance in untreated patients with obstructive sleep apnea syndrome. , 1993, Chest.

[9]  J. Hornegger,et al.  Time-of-flight sensor for respiratory motion gating. , 2008, Medical physics.

[10]  Robert Lange,et al.  3D time-of-flight distance measurement with custom solid-state image sensors in CMOS/CCD-technology , 2006 .

[11]  J D Road,et al.  Respiratory muscle function during obstructive sleep apnea. , 1990, The American review of respiratory disease.

[12]  E. Gil,et al.  Pulse Photopletismography Amplitude Decrease Detector for Sleep Apnea Evaluation in Children , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[13]  W. De Backer,et al.  Screening for sleep apnea using a movement-detector and pulse oximetry versus polysomnographic recording , 2004 .

[14]  Alex Pentland,et al.  Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[15]  Obstructive Sleep Apnea , 2007 .

[16]  Rasmus Larsen,et al.  TOF imaging in Smart room environments towards improved people tracking , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[17]  P. Houck,et al.  Evaluation of a single-channel portable monitor for the diagnosis of obstructive sleep apnea. , 2011, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.

[18]  Kohji Koshiji,et al.  Non-contact Respiration Monitoring Method for Screening Sleep Respiratory Disturbance Using Slit Light Pattern Projection , 2007 .