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26/03/2012


          Seminar on
 “DESIGN AND IMPLEMENTATION OF EMBEDDED
MONITOR SYSTEM FOR DETECTION OF A PATIENT’S
       BREATH BY DOUBLE WEBCAMS”
                     by

                 ABHISHEK SOMAYAJI
                     1AP08IS002
                       8th semester
    Department of Information Science and Engineering


        APS College Of Engineering
Agenda
• Introduction
     Methods
• Operation of the system
     Temporal differencing algorithm
     Breath monitor flowchart
     Implementation results
     Software interface of EMSBD
•   Different cases
•   Advantage and disadvantage
•   Conclusion
•   References
Introduction
• Traditional way of monitoring a patient’s breath rate
  requires contact with the body by tying a device to it.
• For ex,
           Impedance Pneumography
           Respiratory inductive Plethysmography
 • Design detects chest expansion and contraction in a
   way that is similar to the detection of a moving
   object by image processing.
  Methods
        Temporal Differencing
        Background Subtraction
        Optical Flow
Operation environment of the
           system
• Two webcams
• Embedded board.
• LCD displays for real time status of breath rate on
  Embedded board.
• Embedded board instead of PC
    Low power consumption.
    Low cost.
    Portability.
Using temporal differencing
methods to detect micro-vibration
• Gaussian Filter removes noise.
• Smoothing filter
• Degree of smoothing depends on standard
  deviation.
• Avoids misjudgement.
• The Gaussian distribution function is
BREATH
MONITORING
FLOWCHART
Abnormalities & Implementation
              Result
• Integration of embedded board with web cam.
• Uses kernel of ARM 11
• Processing speed is 667 MHz
• 3D graphics accelerator helps to process
  images easily.
• Operating system for coding is linux.
• C-code program
Software Interface of EMSBD




• Indicators show the direction of movements on LCD display.
• Image data consists of 4 parameter
    Direction – up or down.
    Transition .
   Number of breaths.
   Breath rate.
• Three transitions is equal to one complete
  breath cycle.
• Relationship between parameters is shown by
  (1) and (2).
Breath displacement diagrams
• Demonstrates both chest expansion and
  contraction.
• Horizontal axis is time.
• Vertical axis is distance.
• Normal man’s respiratory rate 16 to 20 per
  minute.
• Women 18 to 22 per minute.
• Newborn 40 to 44 per minute.
• Case 1:
   Recording time 60 secs
   19 full breaths.
   Normal case
• Case 2:
   Recording time is 60 secs.
   10 full breaths
   Slow rate but still not harmfull
• Case 3:
   Recording time is 60 secs.
   8 full breaths
   Two breathing stops of 10 secs.
   Abnormal.
Example of long time
   measurement
• Sleeping breath rate from 11:00 PM to 7:00
  AM.
• Horizontal axis- time in minutes.
• Vertical axis- breath rate
• 480 pieces of information.
• Syndrome when there is continuous 5 secs and
  10 secs breathing stops.
• If continues for more than 10 seconds it will
  be dangerous.
Advantage & Disadvantage
• Advantage
 Avoids Inconvenience of any contact with the body.
 Alarm system is very helpful.
 A warning message is sent to the hospital by means
  of the network interface board.
 Protect the patient’s privacy.
• Disadvantage
 It is unable to discover the outline of the moving
  object completely.
 Very sensitive to changes in the environment.
Conclusion
• Avoids inconvenience of any contact with the
  body.
• Alarm system is very helpful.
• Also monitor micro-vibration.
References
• [1] Chunhui Zhao, Wei Liu, Yi Wang, Yongmei
  Cheng and Hongcai Zhang Language and Image
  Processing - ICALIP, pp. 143-146, 7-9 July, 2008.
• [2] Yongseok Yoo and Tae-Suh Park, Proceedings of
  the 2008 IEEE International
• Conference on Computer Vision and Pattern
  Recognition Workshops CVPR, pp. 1-8, 23-29 June,
  2008.
• [3] Dong Wang, Hong Zhu , Qin Li , Yong Chu and
  Ruirui Ji, Proceedings of the 2006 IEEE International
  Conference on Information Acquisition, pp. 332-336,
  20-23 Aug, 2006.
DESIGN AND IMPLEMENTATION OF EMBEDDED MONITOR SYSTEM FOR DETECTION OF A PATIENT’S BREATH BY DOUBLE WEBCAMS

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DESIGN AND IMPLEMENTATION OF EMBEDDED MONITOR SYSTEM FOR DETECTION OF A PATIENT’S BREATH BY DOUBLE WEBCAMS

  • 1. 26/03/2012 Seminar on “DESIGN AND IMPLEMENTATION OF EMBEDDED MONITOR SYSTEM FOR DETECTION OF A PATIENT’S BREATH BY DOUBLE WEBCAMS” by ABHISHEK SOMAYAJI 1AP08IS002 8th semester Department of Information Science and Engineering APS College Of Engineering
  • 2. Agenda • Introduction  Methods • Operation of the system  Temporal differencing algorithm  Breath monitor flowchart  Implementation results  Software interface of EMSBD • Different cases • Advantage and disadvantage • Conclusion • References
  • 3. Introduction • Traditional way of monitoring a patient’s breath rate requires contact with the body by tying a device to it. • For ex,  Impedance Pneumography  Respiratory inductive Plethysmography • Design detects chest expansion and contraction in a way that is similar to the detection of a moving object by image processing. Methods  Temporal Differencing  Background Subtraction  Optical Flow
  • 5. • Two webcams • Embedded board. • LCD displays for real time status of breath rate on Embedded board. • Embedded board instead of PC  Low power consumption.  Low cost.  Portability.
  • 6. Using temporal differencing methods to detect micro-vibration
  • 7.
  • 8. • Gaussian Filter removes noise. • Smoothing filter • Degree of smoothing depends on standard deviation. • Avoids misjudgement. • The Gaussian distribution function is
  • 9.
  • 12. • Integration of embedded board with web cam. • Uses kernel of ARM 11 • Processing speed is 667 MHz • 3D graphics accelerator helps to process images easily. • Operating system for coding is linux. • C-code program
  • 13. Software Interface of EMSBD • Indicators show the direction of movements on LCD display. • Image data consists of 4 parameter  Direction – up or down.  Transition . Number of breaths. Breath rate.
  • 14. • Three transitions is equal to one complete breath cycle. • Relationship between parameters is shown by (1) and (2).
  • 15. Breath displacement diagrams • Demonstrates both chest expansion and contraction. • Horizontal axis is time. • Vertical axis is distance. • Normal man’s respiratory rate 16 to 20 per minute. • Women 18 to 22 per minute. • Newborn 40 to 44 per minute.
  • 16. • Case 1:  Recording time 60 secs  19 full breaths.  Normal case
  • 17. • Case 2:  Recording time is 60 secs.  10 full breaths  Slow rate but still not harmfull
  • 18. • Case 3:  Recording time is 60 secs.  8 full breaths  Two breathing stops of 10 secs.  Abnormal.
  • 19. Example of long time measurement
  • 20. • Sleeping breath rate from 11:00 PM to 7:00 AM. • Horizontal axis- time in minutes. • Vertical axis- breath rate • 480 pieces of information. • Syndrome when there is continuous 5 secs and 10 secs breathing stops. • If continues for more than 10 seconds it will be dangerous.
  • 21.
  • 22. Advantage & Disadvantage • Advantage  Avoids Inconvenience of any contact with the body.  Alarm system is very helpful.  A warning message is sent to the hospital by means of the network interface board.  Protect the patient’s privacy. • Disadvantage  It is unable to discover the outline of the moving object completely.  Very sensitive to changes in the environment.
  • 23. Conclusion • Avoids inconvenience of any contact with the body. • Alarm system is very helpful. • Also monitor micro-vibration.
  • 24. References • [1] Chunhui Zhao, Wei Liu, Yi Wang, Yongmei Cheng and Hongcai Zhang Language and Image Processing - ICALIP, pp. 143-146, 7-9 July, 2008. • [2] Yongseok Yoo and Tae-Suh Park, Proceedings of the 2008 IEEE International • Conference on Computer Vision and Pattern Recognition Workshops CVPR, pp. 1-8, 23-29 June, 2008. • [3] Dong Wang, Hong Zhu , Qin Li , Yong Chu and Ruirui Ji, Proceedings of the 2006 IEEE International Conference on Information Acquisition, pp. 332-336, 20-23 Aug, 2006.