Anticipating Atrial Fibrillation Signal Using Efficient Algorithm

Spatiotemporal Separation Algorithm for Atrial Fibrillation Signal Estimation

A new algorithm for the estimation of the atrial activity (AA) signal from the surface electrocardiogram during atrial fibrillation (AF) episodes is proposed. This algorithm has been based on blind source separation methods, and has been designed including statistical and temporal source information. With this new methodology, the estimation of the AA source is enhanced, comparing to the estima...

Applications of Signal Analysis to Atrial Fibrillation

ECG based Atrial Fibrillation Detection using Cuckoo Search Algorithm

Electrocardiogram (ECG), a non-invasive diagnostic technique, is used for detecting cardiac arrhythmia. For the last decade industry is dealing with Biomedical instrumentation and research, demanding an advancement in its ability to distinguish different cardiac arrhythmia. Atrial Fibrillation (AF) is an irregular rhythm of the human heart. During AF, the atrial movements are quicker than the n...

Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function

The paper introduced a new method based on probability density function (PDF) and phase space diagram method for photoplethysmography (PPG) signal extracting. In the paper, PPG information was generated from human fingertips by smartphones. The pulse wave period was then separated and reconstructed into probability density function (PDF) by the phase space diagram algorithm. The difference betw...

Signal Identification Using a New High Efficient Technique

Automatic signal type identification (ASTI) is an important topic for both the civilian and military domains. Most of the proposed identifiers can only recognize a few types of digital signal and usually need high levels of SNRs. This paper presents a new high efficient technique that includes a variety of digital signal types. In this technique, a combination of higher order moments and hi...