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Heart diseases classification using convolutional neural network

机译:基于卷积神经网络的心脏病分类

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Heart disease is canopy term for any disorder that distress health of an individual. There are heart diseases like Ischemic heart disease, arrhythmia etc. These diseases can be classified using Electrocardiography (ECG) signal. ECG is preferred to the display condition of the patient and for the diagnosis and treatment of various types of cardiac diseases. The variations in P-wave, QRS complex and T-wave parameters in ECG are used to identify the type of illness of the human heart. some heart diseases are not served though other may prove fatal. Thus, there is need of classification of different heart diseases. To classify various heart diseases, it is intended to implement CNN algorithm in the proposed work.
机译:心脏病是冠状词,指困扰个人健康的任何疾病。存在诸如缺血性心脏病,心律不齐等心脏病。可以使用心电图(ECG)信号对这些疾病进行分类。对于患者的显示状况以及各种类型的心脏病的诊断和治疗,首选心电图。心电图中P波,QRS复数和T波参数的变化用于识别人类心脏疾病的类型。尽管某些心脏病可能致命,但某些心脏病无法治愈。因此,需要对不同心脏疾病进行分类。为了对各种心脏疾病进行分类,打算在提出的工作中实现CNN算法。

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