DOI QR코드

DOI QR Code

Comparative analysis of cardiopulmonary resuscitation accuracy and fatigue by posture in hospitals

병원 내 심폐소생술의 자세별 피로도와 가슴압박 정확도 비교 분석

  • Received : 2021.07.02
  • Accepted : 2021.12.28
  • Published : 2021.12.31

Abstract

Purpose: This study aimed to identify effective cardiopulmonary resuscitation methods by comparing the fatigue of rescuers according to various positions in cardiopulmonary resuscitation situations conducted on beds in hospitals. Methods: An experimental study of students in the department of emergency medical service in H University, G Metropolitan City was conducted in four positions for applying chest pressure on mannequins on beds. Results: As a result of measuring the muscle fatigue of four muscle attachments according to the four positions conducted on the bed, the average was 3.4%, the P was significant at 0.001, and the fatigue difference was confirmed to occur depending on the attachment. An analysis of pressure depth by pose revealed that P1, P2, P3, and P4 have a depth of 58.3, 55.1, 56.4, and 56.3 mm, respectively, with P4 having the deepest depth. Conclusion: Among the various postures of the rescuer during cardiopulmonary resuscitation performed on the bed in the hospital, P1 is thought to be the most tiring, although its associated CPR quality is good.

Keywords

References

  1. Lewinsohn A, Sherren PB, Wijayatilake DS. The effects of bed height and time on the quality of chest compressions delivered during cardiopulmonary resuscitation: a randomised crossover simulation study. Emerg Med J 2012;29(8):660-3. https://doi.org/10.1136/emermed-2011-200416
  2. Choi ES, Cho KJ. The Impact on the accuracy of the basic CPR according to position and foot-board height of the basic CPR provider. Korean J Emerg Med Ser 2008;12(3):27-41. http://www.riss.kr/link?id=A106800754
  3. Joo KH. The comparative analysis of chest compression quality values by rescuer's two postures in cardiopulmonary resuscitation on bed. Graduate School Chungnam National University 2016, Daejeon, Korea. http://www.riss.kr/link?id=T14163056
  4. Ashton A, McCluskey A, Gwinnutt CL, Keenan AM. Effect of rescuer fatigue on performance of continuous external chest compressions over 3 min. Resuscitation 2002;55(2):151-5. https://doi.org/10.1016/s0300-9572(02)00168-5
  5. McGill SM, Norman RW, Cholewicki J. A simple polynomial that predicts low-back compression during complex 3-D tasks. Ergonomics 1996;39(9):1107-18. https://doi.org/10.1080/00140139608964532
  6. Nieminen H, Takala EP, Viikari-Juntura E. Normalization of electromyogram in the neck-shoulder region. Eur J Appl Physiol Occup Physiol 1993;67(3):199-207. https://doi.org/10.1007/BF00864215
  7. Hermens HJ, Freriks B, Disselhorst-Klug C, Rau G. Development of recommendations for SEMG sensors and sensor placement procedures. J Electromyogr Kinesiol 2000;10(5):361-74. https://doi.org/10.1016/s1050-6411(00)00027-4
  8. Oh JH. Implementation and validation of assistive devices for high quality chest compression during cardiopulmonary resuscitation. The Graduate School Hanyang University 2014, Seoul, Korea. http://www.riss.kr/link?id=T13525666
  9. Abelairas-Gomez C, Rey E, Gonzalez-Salvado V, Mecias-Calvo M, Rodriguez-Ruiz E, Rodriguez-Nunez A. Acute muscle fatigue and CPR quality assisted by visual feedback devices: A randomized-crossover simulation trial. PLoS One 2018 Sep 19;13(9). https://doi.org/10.1371/journal.pone.0203576
  10. Yang HB, Yang YM, Kim JW, Sung WY, Lee H, Lee JY et al. The study of rescuer's fatigue by changes of compression-ventilation ratio using manikin model of the one-rescuer CPR. The Korean Journal of Critical Care Medicine 2006;21(2):116-25.