Waveform Compensation of ECG Data Using Segment Fitting Functions for Individual Identification

被引：4

作者：

He, Chenguang ^{[1
]}

Li, Wei ^{[2
]}

Chik, David ^{[3
]}

机构：

[1] North China Univ Water Resources & Elect Power, Software Coll, Zhengzhou, Henan, Peoples R China

[2] Shenzhen Qianhai Weizhong Bank Co Ltd, Technol Div, Shenzhen, Peoples R China

[3] Anglia Ruskin Univ, Anglia Ruskin IT Res Inst, Cambridge, England

来源：

2017 13TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2017年

关键词：

ECG; compensation; segment fitting; identification;

D O I：

10.1109/CIS.2017.00110

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Physiological signals can be considered as a source of biometric characteristics that allow biometric identification. The aim of this research is to assess the effect of fitting methods on the morphological features of electrocardiogram (ECG) signals. Three different families of fitting functions have been selected to verify the performance of curve fitting. The experiment result shows that the fitting methods would be efficient for individual identification by ECG classification based on these fitting parameters.

引用

页码：475 / 479

页数：5

共 9 条

[1] ECG based recognition using second order statistics [J].

Agrafioti, Foteini ;

Hatzinakos, Dimitrios .

CNSR 2008: PROCEEDINGS OF THE 6TH ANNUAL COMMUNICATION NETWORKS AND SERVICES RESEARCH CONFERENCE, 2008, :82-87

[2]

CENSI F, 2008, IEEE COMPUTERS CARDI, P1077

[3]

Fratini A., BME ONLINE, V78

[4]

Gahi Y., 2008, 2008 New Technologies, Mobility and Security, P1, DOI [DOI 10.1109/NTMS.2008.ECP.29, 10 .1109/NTMS.2008.ECP.29]

[5] A NOVEL TRI-FACTOR MUTUAL AUTHENTICATION WITH BIOMETRICS FOR WIRELESS BODY SENSOR NETWORKS IN HEALTHCARE APPLICATIONS [J].

He, Chen-Guang ;

Bao, Shu-Di ;

Li, Ye .

INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS, 2013, 6 (03) :910-931

[6] Toward Ubiquitous Healthcare Services With a Novel Efficient Cloud Platform [J].

He, Chenguang ;

Fan, Xiaomao ;

Li, Ye .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2013, 60 (01) :230-234

[7]

Hughes N.P., 2003, P 16 INT C NEUR INF, P611

[8]

Kim S, 2006, J MACH LEARN RES, V7, P945

[9] Adaptive filtering of evoked potentials with radial-basis-function neural network prefilter [J].

Qiu, W ;

Fung, KSM ;

Chan, FHY ;

Lam, FK ;

Poon, PWF ;

Hamernik, RP .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2002, 49 (03) :225-232

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