Thermal Vision for Sleep Apnea Monitoring

Authors:
Jin Fei;Ioannis Pavlidis;Jayasimha Murthy
Affiliations:
Computational Physiology Lab, University of Houston, Houston, USA;Computational Physiology Lab, University of Houston, Houston, USA;Division of Pulmonary, Critical Care and Sleep Medicine, University of Texas Health Science Center, Houston, USA
Venue:
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Year:
2009

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Abstract

The present paper proposes a novel methodology to monitor sleep apnea through thermal imaging. First, the nostril region is segmented and it is tracked over time via a network of cooperating probabilistic trackers. Then, the mean thermal signal of the nostril region, carrying the breathing information, is analyzed through wavelet decomposition. The experimental set included 22 subjects (12 men and 10 women). The sleep-disordered incidents were detected by both thermal and standard polysomnographic methodologies. The high accuracy confirms the validity of the proposed approach, and brings non-obtrusive clinical monitoring of sleep disorders within reach.