ABSTRACT
Objective To develop an intelligent system which is able to offer an optimized emergency treatment recommendation for fast triage automatically.Methods An algorithm and intelligent platform for grading injury were developed based on physiological signal collecting technology, intelligent grading algorithm and integration technology.A comparison between this system and traditional methods was made.Results This intelligent system was able to increase accuracy by 21%and took only 48%of the time taken by traditional methods.There was significant difference between the two groups(P=0.038<0.05).Conclusion The accuracy of the triage is improved by this intelligent system that is less time-consuming.With this device, the injury statement can be identified quickly and the targeted medical treatment can be performed accurately.The efficiency of emergency treatment in case of disaster will thus be dramatically increased.
ABSTRACT
Objective To study and design a fluid resuscitation control system which is suitable for the treatment of hemorrhagic shock in the battlefield and prehospital settings. Methods The physiological parameters of the wounded were set as the system input and fuzzy control technology was used to identify the hemorrhagic shock (HS) severity and made a decision. At last, fluid resuscitation was finished with the use of the efficient blood transfusion and infusion pump. Results High-speed resuscitation could be carried out when the wounded was in severe condition, while low-speed resuscitation could be conducted when the wound was in mild condition. Conclusions Compared with the traditional resuscitation method, the designed fluid resuscitation control system can improve the efficiency of fluid resuscitation and the treatment success rate.
ABSTRACT
To have a thorough understanding of the CPR quality based on patients' various physiological states, the doctors must do something to simulate the chest compression physiological feedback parameters (CCPFP). The CCPFP simulation plays an important role in raising efficiency of CPR training and improving chest compression quality. In this study, the CCPFP, including cardiac output (CO), coronary perfusion pressure (CPP), partial pressure of End-tidal CO2 (PETCO2) and mean arterial relaxation pressure (MARP), was simulated using Charles F. Babbs' Model. Simulation results showed that the effect of compression depth upon CCPFP was important in the range of 2-6 cm, whereas compression rate had little effect on the CCPFP higher than 100/min; the thoracic factor is inversely proportional to the CCPFP with fixed compression depth and compression rate. The CCPFP simulation can be implemented at the various physiological statuses, and verified well with the animal experimental results and the clinical results.