An adapted state-of-the-art method of processing information known as Reservoir
Computing is used to show its utility on the open and time-consuming problem of heartbeat …

The study of electromyographic (EMG) signals has gained increased attention in the last
decades since the proper analysis and processing of these signals can be instrumental for …

In this work, the efficacy of various features on electrocardiogram (ECG) based biometric
authentication process is thoroughly examined. In particular, the features acquired from …

Feature extraction is a crucial aspect of computer-aided arrhythmia diagnosis using an
electrocardiogram (ECG). A location, width and magnitude (LWM) model is proposed for …

Background Left bundle branch block (LBBB) and right bundle branch block (RBBB) not only
mask electrocardiogram (ECG) changes that reflect diseases but also indicate important …

In this paper, the conventional Stockwell transform is effectively used to classify the ECG
arrhythmias. The performance of ECG classification mainly depends on feature extraction …

Cardiac arrhythmia is considered to be one of the most critical addressed problems leading
to death. Thus, Computer Aided Diagnosis (CAD) systems are essential for early arrhythmia …

In this paper, we proposed a new method modified artificial bee colony (MABC) algorithm
and it is applied to ECG signal analysis for heart beat classification. MITBIH database ECG …