In Bio-medical engineering, Electrocardiograph (ECG) has a key importance to diagnose the heart diseases. While acquiring the ECG signal, an Electroencephalography (EEG) interferes the desired ECG signal, due to which the true information can not be retrieved. In this paper, the modified Iterative Version of Adaptive kalman and Recursive Least Square (RLS) Adaptive Filtering algorithms are used...

background:oral cavity provides variety of surfaces for bacterial attachment and colonization. these bacteria can enter the circulatory system of the human body and become pathogenic. thus chronic oral inflammations are regarded as a potent risk factor for systemic pathologies. according to literature classic risk factors only can explain half to two thirds of cardiovascular diseases and is bel...

This study aimed to explore the application of electrocardiograph (ECG) in diagnosis arrhythmia based on deep convolutional neural network (DCNN). ECG was classified and recognized with DCNN. The specificity (Spe), sensitivity (Sen), accuracy (Acc), area under curve (AUC) DCNN were evaluated Chinese Cardiovascular Disease Database (CCDD) Massachusetts Institute Technology-Beth Israel Hospital (...