scispace - formally typeset
Proceedings ArticleDOI

A real-time ECG data compression algorithm for a digital holter system

Sangjoon Lee, +1 more
- Vol. 2008, pp 4736-4739
Reads0
Chats0
TLDR
This paper describes a real time ECG compression algorithm for a digital holter system and found that the algorithm achieved a high level of compression performance with 1.82 of PRD and 8.82:1 of CR in average.
Abstract
This paper describes a real time ECG compression algorithm for a digital holter system. Proposed algorithm consists of five main procedures. First procedure is to differentiate signals, second is to choose a period of the differentiated signals and store them in memory, third is to perform the DCT(Discrete Cosine Transform) on the stored data, fourth is to apply a window filter, and fifth procedure is to apply Huffman Coding compression method on the data. This developed algorithm has been tested by applying 12 ECGs(electrocardiograms) from the MIT-BIH database and the PRD(Percent RMS Difference) and the CR(Compression Ratio) are calculated. It is found that the algorithm achieved a high level of compression performance with 1.82 of PRD and 8.82:1 of CR in average.

read more

Citations
More filters
Journal ArticleDOI

A Real-Time ECG Data Compression and Transmission Algorithm for an e-Health Device

TL;DR: Because the proposed real-time data compression and transmission algorithm can compress and transmit data in real time, it can be served as an optimal biosignal data transmission method for limited bandwidth communication between e-health devices.
Journal ArticleDOI

An ECG Acquisition System Prototype Design With Flexible PDMS Dry Electrodes and Variable Transform Length DCT-IV Based Compression Algorithm

TL;DR: The measurement result shows the proposed FPDE, which has the ability to acquire ECG signals, is comparable with the traditional wet electrodes applied in medicine, and the proposed DCT-II based ECG compression algorithm exhibits a 76% improvement.
Journal ArticleDOI

Quality controlled ECG data compression based on 2D discrete cosine coefficient filtering and iterative JPEG2000 encoding

TL;DR: A quality controlled reconstruction of ECG signal by the formulation of 2D Discrete Cosine Transform (DCT) coefficient and iterative JPEG2000 encoding scheme for Electrocardiogram (ECG) data compression is presented.
Journal ArticleDOI

A Comparative Analysis of Performance of Several Wavelet Based ECG Data Compression Methodologies

TL;DR: In this paper, a wavelet packet transform with run-length encoding (RLE), wavelet transform with Huffman encoding (Huffman encoding) and wavelet transformer with RLE were used for ECG data compression.
Journal ArticleDOI

ECG data compression algorithm for tele-monitoring of cardiac patients

TL;DR: An efficient electrocardiogram (ECG) data compression algorithm for tele-monitoring of cardiac patients from rural area, based on combination of two encoding techniques with discrete cosine transform, which provides good compression ratio (CR) with low percent root-mean-square difference (PRD) values.
References
More filters
Book

Medical instrumentation: Application and design

TL;DR: Basic Concepts of Medical Instrumentation (W. Olson).
Journal ArticleDOI

Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm

TL;DR: A wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed and is significantly more efficient in compression and in computation than previously proposed ECG compression schemes.
Journal ArticleDOI

Compression of electrocardiogram signals using JPEG2000

TL;DR: The goal of this paper is to demonstrate how the JPEG2000 codec can be used to compress electrocardiogram (ECG) data, and to demonstrate the ECG application as an example that can be extended to other signals that exist within the consumer electronics realm.
Proceedings ArticleDOI

Evaluation of the 'TRIM' ECG data compressor

TL;DR: It is concluded that TRIM, when adjusted to produce a mean output rate of 200 bits per channel per second, does not measurably influence the accuracy of clinicians' diagnoses with respect to cardiac rhythm or conduction.
Related Papers (5)