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Tracing the Region of Interest in Thermal Human Face for Respiration Monitoring

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International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 119 - Number 4
Year of Publication: 2015
Authors:
Farah Al-khalidi
Reza Saatchi
Heather Elphick
Derek Burke
10.5120/21059-3716

Farah Al-khalidi, Reza Saatchi, Heather Elphick and Derek Burke. Article: Tracing the Region of Interest in Thermal Human Face for Respiration Monitoring. International Journal of Computer Applications 119(4):42-46, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Farah Al-khalidi and Reza Saatchi and Heather Elphick and Derek Burke},
	title = {Article: Tracing the Region of Interest in Thermal Human Face for Respiration Monitoring},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {119},
	number = {4},
	pages = {42-46},
	month = {June},
	note = {Full text available}
}

Abstract

Monitoring respiration rate, i. e. the rate air is inhaled and exhaled is an important indicator of an individual's health. Respiration rate is generally measured using sensors attached to the patient's body. These contact based methods have a number of limitations, for example the attached sensor can cause discomfort to the patients. A novel, automated, non-contact based method of respiration monitoring, based on thermal imaging of the skin surface centered on the tip of the nose for the nose breathing as well as the mouth region for the mouth breathing. These methods are developed as well as the Image processing techniques were used to enhance the thermal images, remove unwanted noise and segmented the ROI. In this study the shape and size of the region of interest (ROI) are investigated. The ROI represents the facial affected area most affected by exhaled air temperature changes. This area is the tip of the nose and the upper lip for the nose breathing and the mouth area for the mouth breathing. Segmenting the ROI was considered an important task in monitoring respiration by thermal imaging. Further work is in progress to enhance the algorithm so that it can cope with very large head movements.

References

  • J. Fieselmann , S. Hendryx , C. Helms. , D. Wakefield, "Respiratory rate predicts cardiopulmonary arrest for internal medicine patients", The Journal of General Internal Medicine, vol. 8, pp. 354-360. , (1993).
  • B. Mazzanti, C. Lambert and J. de Bie, "Validation of an ECG-drived respiration monitoring method", Computers in Cardiology, vol. 30, pages 613-616. (2003).
  • K. Storck , M. Karlsson, P. Ask and D. Loyed, "Heat transfer evaluation of the nasal thermistor technique" , IEEE Transactions on Biomedical Engineering, vol. 43, no. 12, pp. 1187-1191, (1996).
  • M. Shneerson . Sleep Medicine: A Guide to Sleep and its Disorders, Handbook Second edition. Blackwell Publishing Ltd UK, ( 2005).
  • L. Lee-Chiong, Editor. Sleep: a comprehensive handbook, Wiley (2006).
  • M. Folke, L. Cernerud , M. Ekstro, B. Hok . Comparative provocation test of respiratory monitoring methods. Journal of Clinical Monitoring and Computing,;17(2):97-103,(2002).
  • J. Werthammer, J. Krasner, J. DiBenedetto and R. Stark, (1983), "Apnea Monitoring by Acoustic Detection of Airflow", Pediatrics vol. 71 pp,53-55.
  • P. Corbishley , Rodriguez-Villegas. Breathing detection: toward a miniaturised, wearable, battery-operated monitoring system. IEEE Transactions on Biomedical Engineering. 55 (1):196:204,( 2008).
  • A. Blom. Monitoring of respiration and circulation. CRC Press LLC , Boca Raton London New York Washington, D. C(2004).
  • K. Nepal, E. Biegeleisen and T. Ning, "Apnea detection and respiration rate estimation through parametric modeling", Proceedings of the 28th IEEE Annual Northeast Bioengineering Conference, Philadelphia, Pennsylvania. pp. 277-278, (2002).
  • S. Ding, X. Zhu, W. Chen, D. Wei , Derivation of respiratory signal from single-channel ECGs based on source Ding statistics, International Journal of Bioelectromagnetism, 6(1):43-49,(2004).
  • G. Furman , Z. Shinar , A. Baharav , S. Akselrod , Electrocardiogram derived respiration during sleep, Computers in Cardiology; 32:351-354,(2005)
  • B. Moody , G. Mark , A. Bump ,S. Weinstein , D. Berman ,E. Mietus and L. Goldberger , "Clinical validation of ECG-derived respiration (EDR) technique" IEEE Computers in Cardiology, vol. 13, pp. 507-510. , (1986).
  • C. Eveland , D. Socolinsky and L. Wolff ,"Tracking human faces in infrared video", Image and Vision Computing, vol. 21 pp. 579–590, July (2003).
  • R. Murthy and I. Pavlidis , "Non-contact monitoring of respiratory function using infrared imaging," in IEEE Engineering in Medicine and Biology Magazine. vol. 25,pp. 57-57. , (2006).
  • J. Fei , Z. Zhu and I. Pavlidis , "Imaging respiratory rate in the CO2 absorption band," in Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (Shanghai, China), pp. 700-590, September 1-4. (2005).
  • F. AL-Khalidi , R. Saatchi , B. Burke and H. Elphick , "Tracking Human Face Features in Thermal Images for Respiration Monitoring " ACS/IEEE International Conference on Computer Systems and Applications in Tunisia , May 16-19th . ( 2010) .
  • R. Gonzales , R. Woods and L. Eddins, . "Digital image processing using MATLAB", Pearson Education, the United States of America. (2004).
  • R. Saatchi , F. AL-Khalidi , B. Burke and H. Elphick ,"Thermal Image Analysis of the Skin Surface Centred on the Tip of the Nose for Respiration Monitoring" The ICEDSP International Conference on Computer Systems and Applications in India. December 10-11th 2009. (2009).