تشخیص ضربان قلب با استفاده از سیگنال ECG و تبدیل ویولت

نوع فایل : شبیه سازی متلب (M فایل ) گزارش شبیه سازی و مقاله در فایل ورد (9 صفحه ) Electrocardiogram (ECG) is the P-QRS-T wave, representing the cardiac function. The information concealed in the ECG signal is useful in detecting the disease afflicting the heart. It is very difficult to identifythe subtle changes in the ECG in time and frequency domains. The Discrete Wavelet Transform (DWT) canprovide good time and frequency resolutions and is able to decipher the hidden complexities in the ECG.In this study, five types of beat classes of arrhythmia as recommended by Association for Advancementof Medical Instrumentation (AAMI) were analyzed namely: non-ectopic beats, supra-ventricular ectopicbeats, ventricular ectopic beats, fusion betas and unclassifiable and paced beats. Three dimensionalityreduction algorithms; Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Independent Component Analysis (ICA) were independently applied on DWT sub bands for dimensionalityr ...