In this paper a novel unsupervised classification method for electrocardiogram (ECG) signal classification is presented. The proposed approach classifies the input signal into normal and abnormal heartbeat patterns with a relatively high accuracy...

Electrocardiogram (ECG) signal is widely used in the diagnosis of heart diseases. Since the amplitude of this signal is very low, a high-gain low-noise amplifier with a high common mode rejection ratio (CMRR) is needed. In portable applications a...

In this paper a novel quick automatic method is proposed for electrocardiogram (ECG). Signal classification to three classes include: the normal heart beats from the left bundle branch block (LBBB), right bundle branch block (RBBB), and paced beats...

This paper presents a new power-efficient

electrocardiogram acquisition system that uses a fully digital

architecture to reduce the power consumption and chip area.

The proposed architecture is compatible ...

In this paper, an asynchronous analog-to-information conversion system is introduced for measuring the RR intervals of the electrocardiogram (ECG) signals. The system contains a modified level-crossing analog-to-digital converter and a novel...