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Development of visualization algorithm for appropriate compression tempo in cardiopulmonary resuscitation training system | IEEE Conference Publication | IEEE Xplore
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Development of visualization algorithm for appropriate compression tempo in cardiopulmonary resuscitation training system


Abstract:

Cardiopulmonary resuscitation (CPR) is the most effective quick responsive method to avoid the risk of death due to a heart attack. However, no practical CPR education ha...Show More

Abstract:

Cardiopulmonary resuscitation (CPR) is the most effective quick responsive method to avoid the risk of death due to a heart attack. However, no practical CPR education has been established regarding the citizens’ correct posture while performing CPR. Herein, we developed a training system using an Azure Kinect DK sensor camera to visualise the upper and lower body posture while performing the CPR operation from both the front and side. Assuming its use under COVID-19 restrictions, we implemented a noncontact voice-activated interface and functionality for accurately detecting system’ pressure. For evaluating the training system, after using it for the airport and life insurance employees training, a comparative investigation was conducted to determine whether the system’s applicability for training. As per B business office experiment, when the number of data items was n=44, a correlation coefficient with a strong correlation of 0.662 was obtained. For regression analysis performed on B business office, total posture score and compression frequency significantly differed (significant probability \mathrm{P}\lt 0.001 and significance level 5%).
Date of Conference: 09-12 October 2022
Date Added to IEEE Xplore: 18 November 2022
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Conference Location: Prague, Czech Republic

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References

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