Accurate electrocardiogram (ECG) beat classification is essential for automated detection of arrhythmias.
心拍分类对于临床心律失常自动化检测非常重要。
This paper researches the detection probability of sonobuoy at beat, and gives mathematic model and tentative analysis of it.
主要研究了声纳浮标在巡逻线搜索时的发现概率，并给出了其数学模型及初步分析。
ECG (electrocardiogram) beat classification is very important for clinical automated detection of arrhythmia.
心拍的自动分类对于心律失常的临床诊断有着非常重要的意义。
ECG (electrocardiogram) beat classification is very important for clinical automated detection of arrhythmia.
心拍的自动分类对于心律失常的临床诊断有着非常重要的意义。
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