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Respiration Pattern Using Amplified Video

Raihani, Nilgoun
http://rave.ohiolink.edu/etdc/view?acc_num=case151272961173245

Abstract Details

2018, Doctor of Philosophy, Case Western Reserve University, EECS - Electrical Engineering.
I present both the theoretical background and the experimental results of an algorithm developed to measure human respiratory rate without physical contact. This algorithm is based on motion detection techniques and measuring motion changes across successive frames of the video derives the respiratory rate. The algorithm identifies the moving pixels within each frame, computes direction and speed of a moving object from one image or video frame to the next to discern if any changes are due to respiration or due to limited movement (artifact) of the object being monitored. To experimentally validate the proposed algorithm, the respiratory rates were determined from whole-body plethysmography and compared with those estimated by the algorithm. Over 20 different recordings were performed with 5 different mice freely moving in the whole body Plethymography chamber that were set in front of the camera. The first 15 recording data sets were used to determine the suitable environment for recording. The next 5 data sets were conducted to compare the performance of the proposed system with respect to the gold standard in ideal conditions of light, orientation distance, and camera. The experimental results showed that the system can correctly measure the respiratory rate and it is a viable alternative to monitor the respiratory activity of mice without using invasive sensors.
Keneth Loparo (Advisor)
Farhad Kaffashi (Committee Member)
Frank Jacono (Committee Member)
Ted Dick (Committee Member)
76 p.
Biomedical Engineering; Biomedical Research; Engineering
Image processing, Signal processing, Respiration rate, Video processing, Mathematics

Recommended Citations

Citations

  • Raihani, N. (2018). Respiration Pattern Using Amplified Video [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case151272961173245

    APA Style (7th edition)

  • Raihani, Nilgoun. Respiration Pattern Using Amplified Video. 2018. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case151272961173245.

    MLA Style (8th edition)

  • Raihani, Nilgoun. "Respiration Pattern Using Amplified Video." Doctoral dissertation, Case Western Reserve University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case151272961173245

    Chicago Manual of Style (17th edition)

case151272961173245
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© 2018, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.