ECG signal Compression using Data Extraction and Truncated Singular Value Decomposition
Date
21-Dec-2017
Journal Title
Journal ISSN
Volume Title
Publisher
PME, CUET
Abstract
In this paper a novel algorithm is used for
compressing ECG data. The algorithm uses two techniques
simultaneously to get a better compression of ECG data.
Firstly Data extraction: a sampling technique based on a
user defined threshold value is applied on ECG followed
by Truncated Singular Value Decomposition. Changing
the number of Singular Values higher compression can be
achieved. The proposed method provides two variables:
Threshold & Number of Singular Value, which can be
changed to achieve optimum compression while keeping
the error low. Compression performance & quality of
reconstructed ECG in the proposed method is evaluated
using Compression Ratio (CR) & Percent Root Mean
Square Difference (PRD).
compressing ECG data. The algorithm uses two techniques
simultaneously to get a better compression of ECG data.
Firstly Data extraction: a sampling technique based on a
user defined threshold value is applied on ECG followed
by Truncated Singular Value Decomposition. Changing
the number of Singular Values higher compression can be
achieved. The proposed method provides two variables:
Threshold & Number of Singular Value, which can be
changed to achieve optimum compression while keeping
the error low. Compression performance & quality of
reconstructed ECG in the proposed method is evaluated
using Compression Ratio (CR) & Percent Root Mean
Square Difference (PRD).
Description
Keywords
Data Extraction, Truncated Singular Value Decomposition (TSVD