ECG recording and rhythm analysis for distributed healthcare environments

Stephen J. Redmond; Yuin Inn Ee; Jim Basilakis; Branko G. Celler; Nigel H. Lovell

ECG recording and rhythm analysis for distributed healthcare environments

Stephen J. Redmond, Yuin Inn Ee, Jim Basilakis, Branko G. Celler, Nigel H. Lovell

Research output: Chapter in Book / Conference Paper › Chapter

Abstract

In this chapter, we provide a brief review of the principles of ECG generation and the etiology of some of the most common pathological ECG rhythms and morphologies. This chapter is not intended to be a definitive exposition on ECG rhythm and morphology, but rather an illustration of the types of markers that must be identified in the ECG signal to diagnose such pathologies, and more importantly, to provide an example of the technical signal quality required to classify an ECG signal. We discuss standard practice in the acquisition and analysis of ECTG, and expand on this by illuminating the difficulties involved in the interpretation of data acquired in an unsupervised manner, in the context of distributed healthcare environments.

Original language	English
Title of host publication	Distributed Diagnosis and Home Healthcare (D₂H₂)
Editors	U. Rajendra Acharya, Toshiyo Tamura, E. Y. K. Ng, Lim Choo Min, Jasjit S. Suri
Place of Publication	U.S.
Publisher	American Scientific
Pages	3-22
Number of pages	20
ISBN (Print)	9781588831583
Publication status	Published - 2010

Keywords

electrocardiography
medical care

Cite this

@inbook{3bbfbce41bad4b12917aa261cdd1c754,

title = "ECG recording and rhythm analysis for distributed healthcare environments",

abstract = "In this chapter, we provide a brief review of the principles of ECG generation and the etiology of some of the most common pathological ECG rhythms and morphologies. This chapter is not intended to be a definitive exposition on ECG rhythm and morphology, but rather an illustration of the types of markers that must be identified in the ECG signal to diagnose such pathologies, and more importantly, to provide an example of the technical signal quality required to classify an ECG signal. We discuss standard practice in the acquisition and analysis of ECTG, and expand on this by illuminating the difficulties involved in the interpretation of data acquired in an unsupervised manner, in the context of distributed healthcare environments.",

keywords = "electrocardiography, medical care",

author = "Redmond, {Stephen J.} and Ee, {Yuin Inn} and Jim Basilakis and Celler, {Branko G.} and Lovell, {Nigel H.}",

year = "2010",

language = "English",

isbn = "9781588831583",

pages = "3--22",

editor = "Acharya, {U. Rajendra} and Toshiyo Tamura and Ng, {E. Y. K.} and Min, {Lim Choo} and Suri, {Jasjit S.}",

booktitle = "Distributed Diagnosis and Home Healthcare (D₂H₂)",

publisher = "American Scientific",

}

ECG recording and rhythm analysis for distributed healthcare environments. / Redmond, Stephen J.; Ee, Yuin Inn; Basilakis, Jim et al.
Distributed Diagnosis and Home Healthcare (D₂H₂). ed. / U. Rajendra Acharya; Toshiyo Tamura; E. Y. K. Ng; Lim Choo Min; Jasjit S. Suri. U.S.: American Scientific, 2010. p. 3-22.

Research output: Chapter in Book / Conference Paper › Chapter

TY - CHAP

T1 - ECG recording and rhythm analysis for distributed healthcare environments

AU - Redmond, Stephen J.

AU - Ee, Yuin Inn

AU - Basilakis, Jim

AU - Celler, Branko G.

AU - Lovell, Nigel H.

PY - 2010

Y1 - 2010

N2 - In this chapter, we provide a brief review of the principles of ECG generation and the etiology of some of the most common pathological ECG rhythms and morphologies. This chapter is not intended to be a definitive exposition on ECG rhythm and morphology, but rather an illustration of the types of markers that must be identified in the ECG signal to diagnose such pathologies, and more importantly, to provide an example of the technical signal quality required to classify an ECG signal. We discuss standard practice in the acquisition and analysis of ECTG, and expand on this by illuminating the difficulties involved in the interpretation of data acquired in an unsupervised manner, in the context of distributed healthcare environments.

AB - In this chapter, we provide a brief review of the principles of ECG generation and the etiology of some of the most common pathological ECG rhythms and morphologies. This chapter is not intended to be a definitive exposition on ECG rhythm and morphology, but rather an illustration of the types of markers that must be identified in the ECG signal to diagnose such pathologies, and more importantly, to provide an example of the technical signal quality required to classify an ECG signal. We discuss standard practice in the acquisition and analysis of ECTG, and expand on this by illuminating the difficulties involved in the interpretation of data acquired in an unsupervised manner, in the context of distributed healthcare environments.

KW - electrocardiography

KW - medical care

UR - http://handle.uws.edu.au:8081/1959.7/556780

M3 - Chapter

SN - 9781588831583

SP - 3

EP - 22

BT - Distributed Diagnosis and Home Healthcare (D₂H₂)

A2 - Acharya, U. Rajendra

A2 - Tamura, Toshiyo

A2 - Ng, E. Y. K.

A2 - Min, Lim Choo

A2 - Suri, Jasjit S.

PB - American Scientific

CY - U.S.

ER -

ECG recording and rhythm analysis for distributed healthcare environments

Abstract

Keywords

Other files and links

Fingerprint

Cite this