Tongnan Xia, Mengyao Shu, Hongtao Fan, Lei Ma, Yaojie Sun
{"title":"The Development and Trend of ECG Diagnosis Assisted by Artificial Intelligence","authors":"Tongnan Xia, Mengyao Shu, Hongtao Fan, Lei Ma, Yaojie Sun","doi":"10.1145/3372806.3372807","DOIUrl":null,"url":null,"abstract":"Due to the low accuracy and efficiency of traditional manual and existing automated interpretation of ECG, misdiagnosis and missed diagnosis are easy to occur. Studies have shown that, artificial intelligence technology is the direction of ECG diagnosis in the future. The wide application of artificial intelligence in ECG diagnostic system will effectively promote the rapid development of electrocardiography and improve the level of clinical prevention, early warning and treatment as well as prognosis evaluation. Based on the research situation of our research group, we summarized and introduced the research progress of using artificial intelligence technology to assist ECG diagnosis at home and abroad in this paper.","PeriodicalId":340004,"journal":{"name":"International Conference on Signal Processing and Machine Learning","volume":"253 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Signal Processing and Machine Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3372806.3372807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Due to the low accuracy and efficiency of traditional manual and existing automated interpretation of ECG, misdiagnosis and missed diagnosis are easy to occur. Studies have shown that, artificial intelligence technology is the direction of ECG diagnosis in the future. The wide application of artificial intelligence in ECG diagnostic system will effectively promote the rapid development of electrocardiography and improve the level of clinical prevention, early warning and treatment as well as prognosis evaluation. Based on the research situation of our research group, we summarized and introduced the research progress of using artificial intelligence technology to assist ECG diagnosis at home and abroad in this paper.