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.


Obstructive Sleep Apnea Sleep Apnea Thermal Imaging Continuous Wavelet Transformation Thermal Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jin Fei
    • 1
  • Ioannis Pavlidis
    • 1
  • Jayasimha Murthy
    • 2
  1. 1.Computational Physiology LabUniversity of HoustonHoustonUSA
  2. 2.Division of Pulmonary, Critical Care and Sleep MedicineUniversity of Texas Health Science CenterHoustonUSA

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