Project

Deep Neural Networks for Automatic Detection of Atrial Fibrillation (AFIB)

Publisher

Supervisor

Location

Greater Copenhagen area

Atrial fibrillation (AFIB) is the most common cardiac arrhythmia, and its detection could substantially help in the early diagnosis, management and thus the prevention of complications associated with AFIB.

Several methods with varying success have been developed for the automatic detection of AFIB, which rely on the R-R irregularities (RRI), or the absence of P-waves, or combinations of both. Success of these methods rely on the accuracy of P-wave or RRI detection and most of these methods were shown to perform poorly with short (< 1 minute) ECG data segments.

In this project, a method based on the discrete wavelet transform (DWT) and support vector machine (SVM) is proposed for real-time automatic detection of AFIB. The proposed method does not require either the P-wave or RRI estimations and guaranteed to perform well for shorter data segments.

There are four major steps in the proposed method: (1) ECG pre-processing, (2) feature extraction/selection, (3) classification and validation, and (4) system testing on real-time ECG data. 

Allowed no of students: 1-2

In collaboration with

Erik S. Poulsen, Tel. +45 25825835, e-mail: eriksp@cortrium.com

Requirements

Knowledge in signal processing, programming skills and experience with MATLAB

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Contact

Company / Organization

DTU Sundhedsteknologi

Name

Sadasivan Puthusserypady

Position

Gruppeleder, Lektor

Mail

sapu@dtu.dk

Supervisor info

BSc in Electrical Engineering

Supervisor

Sadasivan Puthusserypady

Type

BSc project, MSc thesis

BSc in Biomedical Engineering

Supervisor

Sadasivan Puthusserypady

Type

BSc project, MSc thesis

MSc in Electrical Engineering

Supervisor

Sadasivan Puthusserypady

Type

BSc project, MSc thesis

MSc in Biomedical Engineering

Supervisor

Sadasivan Puthusserypady

Type

BSc project, MSc thesis

Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.


Today, DTU is ranked as one of the foremost technical universities in Europe, continues to set new records in the number of publications, and persistently increases and develops our partnerships with industry, and assignments accomplished by DTU’s public sector consultancy.

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Denmark



Tlf. (+45) 45 25 25 25

CVR-nr. 30 06 09 46

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