ECG Data Compression by Independent Component Analysis

Author

Guilhon, Denner ; Medeiros, Eugênio ; Barros, Allan Kardec

Author_Institution

Fed. Univ. of Maranhao

fYear

2005

fDate

28-28 Sept. 2005

Firstpage

189

Lastpage

193

Abstract

We propose a technique for compression of ECG signals. In the literature, many techniques were proposed for that end, including the use of Karhunen-Loeve transform (KLT) and wavelets. Here we propose to use the concept of redundancy reduction through independent component analysis (ICA) to find a more efficient code. Results showed that using ICA yields far smaller reconstruction errors when comparing the ICA results to the KLT ones

Keywords

Karhunen-Loeve transforms; data compression; electrocardiography; independent component analysis; medical signal processing; signal reconstruction; wavelet transforms; ECG data compression; ECG signal compression; Karhunen-Loeve transform; independent component analysis; redundancy reduction; signal reconstruction; wavelet transform; Data compression; Electrocardiography; Independent component analysis; Karhunen-Loeve transforms; Morphology; Parameter extraction; Random variables; Redundancy; Vector quantization; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning for Signal Processing, 2005 IEEE Workshop on

Conference_Location

Mystic, CT

Print_ISBN

0-7803-9517-4

Type

conf

DOI

10.1109/MLSP.2005.1532897

Filename

1532897

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2414634