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흉부압박 피드백 기능이 포함된 기본소생술 앱 개발

Development of the Basic Life Support App Including Chest Compression Feedback

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This study is to develop a basic life support (BLS) app using the android based smartphone and to evaluatethe function of the app. Suggested app contains chest compression feedback function, the map of automated externaldefibrillator (AED), direct emergency call and the basic knowledge of BLS. Using the accelerometer of the smartphone,we implemented a real-time algorithm that estimates the chest compression depth and rate for high qualitycardiopulmonary resuscitation (CPR). The accuracy of algorithm was evaluated by manikin experiment. We madecontents which were easy to learn the BLS for the layperson and implemented a function that provides the AEDlocation information based on the user's current location. From the manikin experiment, the chest compression depthand rate were no significant differences between the manikin data and the app’s feedback data (p > 0.05). DevelopedBLS app was uploaded on Google Play Store and it was free to download. We expected that this app is useful to learnthe BLS for the layperson.

Abstract

This study is to develop a basic life support (BLS) app using the android based smartphone and to evaluatethe function of the app. Suggested app contains chest compression feedback function, the map of automated externaldefibrillator (AED), direct emergency call and the basic knowledge of BLS. Using the accelerometer of the smartphone,we implemented a real-time algorithm that estimates the chest compression depth and rate for high qualitycardiopulmonary resuscitation (CPR). The accuracy of algorithm was evaluated by manikin experiment. We madecontents which were easy to learn the BLS for the layperson and implemented a function that provides the AEDlocation information based on the user's current location. From the manikin experiment, the chest compression depthand rate were no significant differences between the manikin data and the app’s feedback data (p > 0.05). DevelopedBLS app was uploaded on Google Play Store and it was free to download. We expected that this app is useful to learnthe BLS for the layperson.

참고문헌 (12)

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  3. R. A. Berg., "Part 5 : adult basic life support : 2010 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care", Circulation, 122(18), pp.S685~S705 (2010)
  4. B. S. Abella., "Quality of cardiopulmonary resuscitation during in-hospital cardiac arrest", JAMA, 293(3), pp.305~310 (2005)
  5. L. Wik., "Quality of cardiopulmonary resuscitation during out-of-hospital cardiac arrest", JAMA, 293(3), pp.299~304 (2005)
  6. M. Skorning., "New visual feedback device improves performance of chest compressions by professionals in simulated cardiac arrest", Resuscitation, 81(1), pp.53~58 (2010)
  7. C. N. Pozner., "Cardiopulmonary resuscitation feedback improves the quality of chest compression provided by hospital health care professionals", Am. J. Emerg. Med, 29(6), pp.618~625 (2011)
  8. 송영탁, "심폐소생술에서 두 개의 가속도 센서를 활용한 흉부 압박 깊이 추정", 의공학회지, 31(5), pp.407~411 (2010), 대한의용생체공학회
  9. G. Milette, "Professional Android sensor programming, Indianapolis, Indiana", pp.103~120 (2012), John Wiley & Sons
  10. 조병준, "심정지 환자의 생존율에 미치는 영향요인", 한국산학기술학회논문지, 15(2), pp.760~766 (2014), 한국산학기술학회[DOI]
  11. C. Park., "A randomised, cross over study using a mannequin model to evaluate the effects on CPR quality of realtime audio-visual feedback provided by a smartphone application", Hong Kong Journal of Emergency Medicine, 21(3), pp.153~160 (2014)
  12. T. Chan., "New era of CPR : application of i-technology in resuscitation", Hong Kong Journal of Emergency Medicine, 19(5), pp.305~311 (2012)

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