| Summary: | 碩士 === 中原大學 === 生物醫學工程研究所 === 99 === Cardiopulmonary resuscitation (CPR) is a continuous emergency procedure that easily results in rescuer fatigue, which may lead to less effective compressions and therefore less cardiac output. Furthermore, CPR applied to the victim is usually inadvertently interrupted during transport. Without continuous CPR, coronary and brain perfusion will be greatly decreased and thus the chance of successful resuscitation will similarly diminish. This study aims to develop a smart CPR system powered by electricity in order to replace manual CPR. By combining real-time physiological measurements and video streaming, the hospital can control the dynamic application of CPR through Internet access. This system is comprised of three components: the cardiac compression sub-system, the signal acquisition sub-system and the display interface sub-system. The cardiac compression sub-system is able to detect the position of the chest and compress the chest automatically. The signal acquisition component combines the two-electrode electrocardiogram system, the photoplethysmography and the load cell module to measure physiological signals and chest compression signals. All the signals are analyzed then plotted at the display interface sub-system so vital signs can be adequately monitored. Simultaneously, live recording functionality via webcam allows video transmission to relevant third parties. Using CPR Annie, the system performed at a working rate of 105 compressions per minute with an average depth of 49 mm and a force of 330 Newtons, meeting “2010 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care”. This study accomplished the creation of a prototype smart electrical CPR system. It not only is applicable to telemedicine but will also reduce medical expenditure and improve quality first-aid in the near future.
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