Farah Q. AL-Khalidi

Sheffield Hallam University, Sheffield, England, United Kingdom

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Publications (4)2.7 Total impact

  • Farah AL-Khalidi · Reza Saatchi · Heather Elphick · Derek Burke

    No preview · Article · Jun 2015
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    Farah Q Al-Khalidi · Reza Saatchi · Derek Burke · Heather E Elphick · Stephen Tan
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    ABSTRACT: Respiration rate is an important indicator of a person's health, and thus it is monitored when performing clinical evaluations. There are different approaches for respiration monitoring, but generally they can be classed as contact or noncontact. For contact methods, the sensing device (or part of the instrument containing it) is attached to the subject's body. For noncontact approaches the monitoring is performed by an instrument that does not make any contact with the subject. In this article a review of respiration monitoring approaches (both contact and noncontact) is provided. Concerns related to the patient's recording comfort, recording hygiene, and the accuracy of respiration rate monitoring have resulted in the development of a number of noncontact respiration monitoring approaches. A description of thermal imaging based and vision based noncontact respiration monitoring approaches we are currently developing is provided. Pediatr. Pulmonol. 2011; 46:523–529. © 2011 Wiley-Liss, Inc.
    Full-text · Article · Jun 2011 · Pediatric Pulmonology
  • F.Q. AL-Khalidi · R. Saatchi · D. Burke · H. Elphick
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    ABSTRACT: A non-contact method of monitoring respiration rate is developed. The approach involved tracking a facial region of interest (ROI) associated with respiration in thermal images. Image processing techniques were used to enhance the recorded thermal images and to remove unwanted noise. The skin surface area centered on the tip of the nose was specified by a circle that covered the region affected by respiration process. Feature extraction and signal processing methods were applied to this region to compute the respiration rate. It was demonstrated that the method could successfully track the ROI for both regular and random head movement types and could determine respiration rate in a noncontact manner. Further work is in progress to enhance the algorithm so that it can cope with very large head movements.
    No preview · Conference Paper · Aug 2010
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    Farah Q. AL-Khalidi · Reza Saatchi · Derek Burke · Heather Elphick
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    ABSTRACT: A method has been developed to track a region related to respiration process in thermal images. The respiration region of interest (ROI) consisted of the skin area around the tip of the nose. The method was then used as part of a non-contact respiration rate monitoring that determined the skin temperature changes caused by respiration. The ROI was located by the first determining the relevant salient features of the human face physiology. These features were the warmest and coldest facial points. The tracking method was tested on thermal video images containing no head movements, small random and regular head movements. The method proved valuable for tracking the ROI in all these head movement types. It was also possible to use this tracking method to monitor respiration rate involving a number of head movement types. Currently, more investigations are underway to improve the tracking method so that it can track the ROI in cases larger head movements.
    Full-text · Conference Paper · Jun 2010