CAJ | 학술논문

心音含有大量与心脏病理状况相关的信息，反映了心脏以及心血管结构的生理和病理信息。传统的心音诊断是医生根据自身的临床经验通过听诊器来实现的，当然这一过程具有一定的主观和不稳定性，准确率也不高。近年来，随着人工智能技术的兴起，对心音信号进行采集以及自动识别的研究越来越受到人们的青睐。
심음함유대량여심장병리상황상관적신식，반영료심장이급심혈관결구적생리화병리신식。전통적심음진단시의생근거자신적림상경험통과은진기래실현적，당연저일과정구유일정적주관화불은정성，준학솔야불고。근년래，수착인공지능기술적흥기，대심음신호진행채집이급자동식별적연구월래월수도인문적청래。
Heart sound contains a lot of information about the status of cardiac pathology, reflecting the heart, cardiovascular structure as well as physiological and pathological information. In traditional heart sound identification, doctors judged based on their experience. Obviously, the process has a certain subjectivity and instability. With the development of artificial intelligence, the classification and acquisition of heart sound gradually become the focus of people's study.