Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/91922
Author(s): | Can Ye Miguel Tavares Coimbra Vijaya V K V Kumar |
Title: | Arrhythmia Detection and Classification using Morphological and Dynamic Features of ECG Signals |
Issue Date: | 2010 |
Abstract: | Computer-assisted cardiac arrhythmia detection and classification can play a significant role in the management of cardiac disorders. In this paper, we propose a new approach for arrhythmia classification based on a combination of morphological and dynamic features. Wavelet Transform (WT) and Independent Component Analysis (ICA) are applied separately to each heartbeat to extract corresponding coefficients, which are categorized as 'morphological' features. In addition, RR interval information is also obtained characterizing the 'rhythm' around the corresponding heartbeat providing 'dynamic' features. These two different types of features are then concatenated and Support Vector Machine (SVM) is utilized for the classification of heartbeats into 15 classes. The procedure is applied to the data from two ECG leads independently and the two results are fused for the final decision. Compare the two classification results and the classification result is kept if the two are identical or the one with greater classification confidence is picked up if the two are inconsistent. The proposed method was tested over the entire MIT-BIH Arrhythmias Database [1] and it yields an overall accuracy of 99.66% on 85945 heartbeats, better than any other published results. |
Subject: | Ciência de computadores, Biotecnologia ambiental Computer science, Environmental biotechnology |
Scientific areas: | Ciências da engenharia e tecnologias::Biotecnologia ambiental Engineering and technology::Environmental biotechnology |
URI: | https://hdl.handle.net/10216/91922 |
Source: | 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Document Type: | Artigo em Livro de Atas de Conferência Internacional |
Rights: | restrictedAccess |
Appears in Collections: | FCUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
File | Description | Size | Format | |
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49494.pdf Restricted Access | Artigo | 337.01 kB | Adobe PDF | Request a copy from the Author(s) |
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