CAJ | 학술논문

目的：研究智能化检伤分类系统，实现灾难现场伤员伤势快速、准确的自动量化分级，并给出优化急救处置建议，提高分检时效性和准确性。方法利用生理信号实时采集技术、智能量化分级算法和一体化集成技术，研发设计自动检伤分类算法程序，并搭建了基于军用PAD的智能检伤分类平台。最终通过临床试验对比该系统与传统分类方法的分类效果。结果经过临床试验验证，该智能检伤分类系统相较于传统分类方法准确率提高了21％，耗时仅为传统分类方法的48％（ P＝0．038＜0．05，两组结果差异有统计学意义）。结论该智能检伤分类系统提高了灾难现场检伤分类的时效性和准确性，能有效提高检伤分类效率。利用该设备可快速判断伤员伤势，对伤员展开针对性的急救处置，提高救治效率。
목적：연구지능화검상분류계통，실현재난현장상원상세쾌속、준학적자동양화분급，병급출우화급구처치건의，제고분검시효성화준학성。방법이용생리신호실시채집기술、지능양화분급산법화일체화집성기술，연발설계자동검상분류산법정서，병탑건료기우군용PAD적지능검상분류평태。최종통과림상시험대비해계통여전통분류방법적분류효과。결과경과림상시험험증，해지능검상분류계통상교우전통분류방법준학솔제고료21％，모시부위전통분류방법적48％（ P＝0．038＜0．05，량조결과차이유통계학의의）。결론해지능검상분류계통제고료재난현장검상분류적시효성화준학성，능유효제고검상분류효솔。이용해설비가쾌속판단상원상세，대상원전개침대성적급구처치，제고구치효솔。
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.