Computationally efficient ECG compression scheme using a non-linear quantizer

被引：2

作者：

Cassen, M ^{[1
]}

English, MJ ^{[1
]}

机构：

[1] Univ Sussex, Sch Engn, Brighton BN1 9QT, E Sussex, England

来源：

COMPUTERS IN CARDIOLOGY 1997, VOL 24 | 1997年 / 24卷

关键词：

D O I：

10.1109/CIC.1997.647886

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

A data reduction technique is proposed for the compression of ECG signals. The technique is based on first differencing, but a non-linear quantizer is also used to quantize the first differenced signal. This allows the maintenance of good resolution in selected parts of the EGG, for which the non-linear quantizer has been developed while the entropy of the signal is reduced. The remaining signal is then entropy coded using variable code lengths. The simplicity of this scheme allows it to be implemented on a wide range of systems and requires only limited computational power.

引用

页码：283 / 286

页数：4

共 50 条

[41] A NUMERICAL SCHEME FOR PROBLEMS IN NON-LINEAR OSCILLATIONS
KIRCHGRABER, U
MECHANICS RESEARCH COMMUNICATIONS, 1982, 9 (06) : 411 - 417
[42] ECG Multiclass Classification Using Temporal Features, Information Measures, and Non-linear Parameters
Ziccardi, Ignacio
Rey, Andrea
Legnani, Walter
ADVANCES IN BIOENGINEERING AND CLINICAL ENGINEERING, SABI 2022, 2024, 105 : 476 - 482
[43] Cardiac Arrhythmia Classification from Multilead ECG using Multiscale Non-linear Analysis
Chetan, A.
Tripathy, R. K.
Dandapat, S.
2015 IEEE UP SECTION CONFERENCE ON ELECTRICAL COMPUTER AND ELECTRONICS (UPCON), 2015,
[44] Fully Digital Pacemaker Detection in ECG Signals Using a Non-Linear Filtering Approach
Polpetta, A.
Banelli, P.
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 5406 - 5410
[45] Fetal ECG extraction using a novel polynomial network and non-linear BSS method
Wang, Lu
Zhao, Chunhui
ELECTRONICS LETTERS, 2022, 58 (20) : 750 - 752
[46] ECG pattern recognition and classification using non-linear transformations and neural networks: A review
Maglaveras, N
Stamkopoulos, T
Diamantaras, K
Pappas, C
Strintzis, M
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 1998, 52 (1-3) : 191 - 208
[47] Lossy Compression via Sparse Linear Regression: Computationally Efficient Encoding and Decoding
Venkataramanan, Ramji
Sarkar, Tuhin
Tatikonda, Sekhar
2013 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT), 2013, : 1182 - +
[48] Lossy Compression via Sparse Linear Regression: Computationally Efficient Encoding and Decoding
Venkataramanan, Ramji
Sarkar, Tuhin
Tatikonda, Sekhar
IEEE TRANSACTIONS ON INFORMATION THEORY, 2014, 60 (06) : 3265 - 3278
[49] Efficient approximation for linear and non-linear signal representation
Bilgehan, Buelent
IET SIGNAL PROCESSING, 2015, 9 (03) : 260 - 266
[50] Efficient metacomputing of elliptic linear and non-linear problems
Barberou, N
Garbey, M
Hess, M
Resch, MM
Rossi, T
Toivanen, J
Tromeur-Dervout, D
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2003, 63 (05) : 564 - 577

← 1 2 3 4 5 →