DocumentCode
3081353
Title
Notice of Violation of IEEE Publication Principles
A polycoherence-based ECG signal non-linearity detector
Author
Zgallai, W.A.
Author_Institution
Biomed. Eng. Res. Group, Univ. of West London, London, UK
fYear
2011
fDate
6-8 July 2011
Firstpage
1
Lastpage
6
Abstract
Notice of Violation of IEEE Publication Principles
"A Polycoherence-Based ECG Signal Non-Linearity Detector"
by Walid A. Zgallai,
in the 17th International Conference on Digital Signal Processing (DSP), July 2011
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains substantial duplication of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Application of Higher-order Statistics and Subspace Based Techniques to the Analysis and Diagnosis of Electrocardiogram Signals,"
by Sahar El-Khafif,
PhD thesis, School of Engineering, City University, UK, 2002
This paper proposes a new algorithm to detect non-linearities in ECG signals and to determine the order of non-linearity. The ECG bispectrum is analysed and the bicoherence index is calculated to identify non-linearity. The diagonal slice of the polycoherence index of any order, calculated using the diagonal slice of the polyspectrum of the same order and the power spectrum, is proposed as an estimator. The possibility of higher-order non-linearities in ECG signals is investigated using these slices. Physiological and pathological cases have been studied. The analysis of the bispectrum and bicoherence index reveals tight quadratic interactions among frequencies in the region (0-20 Hz), which suggests the existence of non-linearities. The polyspectrum and polycoherence slices indicate the presence of higher-order phase-coupled harmonics, in the physiological cases, which is attribut- d to higher order non-linearities. Differences between physiological and pathological cases are assessed and a decrease in the non-linearity order could be correlated with pathological conditions.
"A Polycoherence-Based ECG Signal Non-Linearity Detector"
by Walid A. Zgallai,
in the 17th International Conference on Digital Signal Processing (DSP), July 2011
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains substantial duplication of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Application of Higher-order Statistics and Subspace Based Techniques to the Analysis and Diagnosis of Electrocardiogram Signals,"
by Sahar El-Khafif,
PhD thesis, School of Engineering, City University, UK, 2002
This paper proposes a new algorithm to detect non-linearities in ECG signals and to determine the order of non-linearity. The ECG bispectrum is analysed and the bicoherence index is calculated to identify non-linearity. The diagonal slice of the polycoherence index of any order, calculated using the diagonal slice of the polyspectrum of the same order and the power spectrum, is proposed as an estimator. The possibility of higher-order non-linearities in ECG signals is investigated using these slices. Physiological and pathological cases have been studied. The analysis of the bispectrum and bicoherence index reveals tight quadratic interactions among frequencies in the region (0-20 Hz), which suggests the existence of non-linearities. The polyspectrum and polycoherence slices indicate the presence of higher-order phase-coupled harmonics, in the physiological cases, which is attribut- d to higher order non-linearities. Differences between physiological and pathological cases are assessed and a decrease in the non-linearity order could be correlated with pathological conditions.
Keywords
electrocardiography; medical signal detection; spectral analysis; ECG bispectrum; bicoherence index; diagonal slice; frequency 0 Hz to 20 Hz; higher-order phase-coupled harmonics; pathological cases; physiological cases; polycoherence index; polycoherence-based ECG signal nonlinearity detector; polyspectrum; power spectrum; quadratic interactions; Couplings; Electrocardiography; Estimation; Harmonic analysis; Heart; Indexes; Physiology; Bicoherence; Bispectrum; ECG; Non-linearity Detection; Polycoherence; Polyspectrum;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing (DSP), 2011 17th International Conference on
Conference_Location
Corfu
ISSN
Pending
Print_ISBN
978-1-4577-0273-0
Type
conf
DOI
10.1109/ICDSP.2011.6004868
Filename
6004868
Link To Document