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Each year, more than 250,000 people die from cardiac arrest in the USA alone. Despite widespread use of cardiopulmonary resuscitation (CPR), the number of patients surviving from cardiac arrest remains low. Indeed, the rate of survival for CPR performed out of the hospital is 3%, while for patients who undergo cardiac arrest in the hospital, the rate of survival is 10-15%. One of the reasons for this situation is that the practical technique of CPR has changed little since the 1960's. The standard and various alternative CPR techniques such as interposed abdominal compression, active compression-decompression, and Lifestick CPR have been represented in various mathematical models [1, 2, 3]. Here, we illustrate our approach on a model of standard CPR, performed manually or by a mechanical device. The goal of this research is to reconsider the traditional CPR technique and to suggest novel strategies for improving it, by using the optimal control methodology.
The techniques of optimal control are applied to a validated blood circulation model of cardiopulmonary resuscitation (CPR) by Babbs [1]. In his model, heart and blood vessels are represented as a network of resistance and compliances. Pressures in the chest and in the vascular compliances are computed from difference equations. Blood flows are computed form Ohm's law, accounting for the action of one-way valves in the heart. The circulation model describes the adult human circulation (hemodynamics) and consists of seven difference equations, with time as the discrete underlying variable. As a control input, we choose the pattern of the pressure within the chest. More precisely, this control is actually the forcing pressure developed inside the chest as a result of external compression or decompression by the rescuer. The optimum waveform of this forcing pressure as a function of time ... 전체 초록 보기

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UCI(KEPA) : I410-ECN-0101-2009-410-014678301