Real-Time Vision Based

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    REAL-TIME VISION BASED

    RESPIRATION MONITORING

    SYSTEM

    Under Guidance of

    By:

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    INTRODUCTION

    Respiration rate is an important indicator of

    an individual's health.

    Respiratory rate is an important physiologicalmeasure used in clinical environments to examine

    the health of an individual.

    Respiration monitoring can be contactor

    noncontactbased.

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    CONTACT BASED MONITORING SYSTEM

    The sensing device is attached to the subject's

    body

    Thermistors Method

    Stain-gage pressure sensors

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    DRAWBACKS:

    The attachment of the sensors to the patient's

    body causes discomfort and the resulting stress

    can affect breathing rate.

    The thermistor approach has a further cost

    disadvantage as the sensing device is disposed

    after a single use for hygiene reasons.

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    ADVANTAGES:

    Safe

    cost effective

    accurate

    easy to use.

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    VIDEO BASED BODY MOVEMENT DETECTION

    Respiration process causes a semi-periodic chestand abdominal movements that is performed in asubconscious manner.

    Detecting and tracking movements involvecomplex algorithms that require intensivecomputations.

    Convenient method of detecting movement is bysubtracting consecutive images in the recordedvideo.

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    CONT..

    The recorded video consists of a sequence of images captured at a

    specific sample rate. The difference of consecutive images

    represents motion. This motion is the difference in the image

    scenery related to displacement of objects. This effect is as shown

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    METHODOLOGY

    A Graphical User Interface (GUI)

    A video consisted of a series of sequential images, each marked

    with an individual time stamp (t), corresponding the time of

    recording.

    The algorithm was designed to perform an image subtraction

    using the current image at time t ( imgt ) and the image a few time

    frames before at time t-td

    ( imgt td ), where value of td was determinedby considering the

    speed of the algorithm.

    The resulting image imgdiff was then thresholded to produce img

    X

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    CONT

    The pixels values of img X were summed, producing a

    data value (X)

    img X that represented a scenery change that could be

    interpreted as the movement magnitude during timet-td

    The larger the value of X ,the bigger would be the

    detected movement magnitudes corresponding to eachtime point t.

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    CONT

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    CONT

    General illustration of algorithm

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    CONT..

    The lobes represents chest and adnominal movements

    forward and backward

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    EXPERIMENTS AND RESULTS

    The algorithm will run in real time with a frame

    rate of 10 frames per second

    A series of tests were performed each lasting

    between 3 to 10 minutes

    Tests were performed initially on an adult subject

    while he sat on a chair in front of the video

    camera.

    The tests were performed in different scenarios

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    CONT

    Video based respiration system automatically determined the respiration

    rate to be 19.4 cycle per minute. A manual count of respiration cycles for

    the data provided by thermistor and stain gage systems indicatedrespiration rate of about 20 cycles per minute

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    COMPARISON OF DIFFERENT METHODS

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    LIMITATIONS

    When subject moved significantly, the

    respiration signal become too distorted to be

    detected correctly.

    Another shortcoming of the system was it

    was susceptible to the movements behind

    the subject being monitored.

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    THANK YOU.