DocumentCode :
1818795
Title :
Virtual Thermistor
Author :
Jin Fei ; Pavlidis, I.
Author_Institution :
Univ. of Houston, Houston
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
250
Lastpage :
253
Abstract :
The present paper unveils a methodology to recover the breathing signal from the subject´s nostrils through thermal imaging. The resulting functionality is equivalent to that of a thermistor, but it is materialized in a contact-free manner. First, the nostril region is segmented and it is tracked over time through coalitional tracking. The mean thermal signal of the nostril region carries the breathing information. This information is extracted through wavelets analysis. The method has been tested on 20 healthy individuals. The frequencies of the breathing signals determined via the imaging computation were compared with those of the corresponding signals acquired with thermistors. The high degree of agreement between the two measurement methods confirms the validity of the proposed approach and opens the way for clinical applications.
Keywords :
biomedical optical imaging; biothermics; image segmentation; infrared imaging; medical image processing; pneumodynamics; thermistors; wavelet transforms; breathing signal; coalitional tracking; image segmentation; nostril; thermal imaging; virtual thermistor; wavelets analysis; Computer science; Humans; Optical filters; Optical imaging; Optical sensors; Physiology; Temperature sensors; Thermal variables measurement; Thermistors; Wavelet analysis; Humans; Image Processing, Computer-Assisted; Imaging, Three-Dimensional; Nose; Respiration; Thermography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
ISSN :
1557-170X
Print_ISBN :
978-1-4244-0787-3
Type :
conf
DOI :
10.1109/IEMBS.2007.4352271
Filename :
4352271
Link To Document :
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