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Cardiopulmonary Resuscitation I: Adult01:21

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Cardiopulmonary resuscitation, or CPR, is a life-saving emergency procedure performed when a person's heart has stopped beating or they are no longer breathing. The foundation of CPR is Basic Life Support (BLS), which focuses on the early recognition of cardiac arrest, the immediate start of high-quality chest compressions, and the timely use of an automated external defibrillator (AED).Assessing Responsiveness and Checking the Carotid PulseWhen approaching an unresponsive person, first ensure...
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Apical-Radial (A-R) Pulse Assessment
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Towards an algorithm for automatic accelerometer-based pulse presence detection during cardiopulmonary resuscitation.

Kiran Dellimore, Ralph Wijshoff, Christoph Haarburger

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    Manual palpation for pulse checks during cardiopulmonary resuscitation (CPR) is unreliable. This study introduces an accelerometer-based algorithm for automated pulse detection, offering a quicker, objective assessment for professional rescuers.

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    Area of Science:

    • Cardiology
    • Biomedical Engineering
    • Medical Devices

    Background:

    • Manual palpation is the current standard for assessing pulse during cardiopulmonary resuscitation (CPR).
    • This method is subjective, time-consuming, and often unreliable, creating a need for objective assessment tools.
    • Existing technologies for pulse detection during CPR are limited, highlighting an unmet clinical need.

    Purpose of the Study:

    • To develop and evaluate an algorithm for automatic, accelerometer-based pulse presence detection.
    • To assess the feasibility of using accelerometers for objective pulse assessment at the carotid artery during CPR.
    • To provide professional rescuers with a reliable tool for pulse detection in cardiac arrest scenarios.

    Main Methods:

    • Development of a novel algorithm for processing accelerometer data.
    • Implementation of pulse detection at the carotid artery site using accelerometers.
    • Validation of the algorithm's performance in detecting pulse presence during simulated CPR.

    Main Results:

    • Demonstrated feasibility of accelerometer-based pulse detection at the carotid artery.
    • The developed algorithm enables automatic detection of pulse presence.
    • Accelerometers show potential as a tool for objective pulse assessment during CPR.

    Conclusions:

    • Accelerometer-based technology offers a promising solution for automated pulse detection during CPR.
    • This approach addresses the limitations of manual palpation, improving objectivity and speed.
    • Further research and development could lead to a valuable adjunct for professional rescuers in critical care settings.