Novel decision strategy for P-wave detection utilising nonlinearly synthesised ECG components and their enhanced pseudospectral resonances

Sabry-Rizk, M.; Zgallai, Walid A.; Morgan, Charity; El-Khafif, S.; Carson, Ewart R.; Grattan, K.T.V.

doi:10.1049/ip-smt:20000855

Cited by 4 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, only evidence of quadratic coupling between the mother and fetal ECGs will be given in this paper due to lack of space. It is worth mentioning that in previous publications [22], [23] we provided evidence of non-Gaussian and multiplicative noise in individual ECGs.…”

Section: I3 Wrong Assumptions In Mother and Fetal Sourcementioning

confidence: 62%

“…Even if this is justified as first approximation, the nonlinearities which characterise individual mother and fetal cardioelectrical activities [22], [23] will interact during their propagation through various body layers and mix with motion artefact, before they are finally picked up as the ECG signals by electrodes on the skin surface. It is important to realise that the cardiac signals have to penetrate through a complex system experiencing various effects and there is evidence of spectral tuning between the fetal heartbeat and uterus contractions [26], [27].…”

Section: I3 Wrong Assumptions In Mother and Fetal Sourcementioning

confidence: 99%

See 1 more Smart Citation

Virtues and vices of source separation using linear independent component analysis for blind source separation of non-linearly coupled and synchronised fetal and mother ECGs

Sabry-Rizk

Zgallai

McLean

et al.

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Self Cite

View full text Add to dashboard Cite

Abstract:In this paper, we address the imminent problem which arises when researchers unjudiciously use a linear and instantaneous (memoryless) model for the source mixing structures of independent component analysis (ICA), also known as blind source separation (BSS), in persuit of separating noisy and frequently nonstationary combined mother and fetal electrocardiogram (ECG) signals from cutaneous measurements under the following false assumptions. (1) Sensors (electrodes) are instantaneous linear mixtures of mother and fetal source signals. (2) Noise is an additive Gaussian perturbation. (3) Mother and fetal ECG signals are assumed to be stationary and linear, mutually statistically independent and statistically independent from noise. (4) Most of the second-order (SO) and fourth-order (FO) blind source separation (BSS) methods developed this last decade assume that third-order cumulants vanish hence the need to use FO. All these assumptions are not valid and will be challenged. We will expose these vices without providing any significant contributions for overcoming them. Rather, we provide a framework for investigations which are based on conformal mapping of nonlinear mixtures and novel dynamic nonlinear structures with time-variant memory to cater for quadratic coupling between mother and fetal which is quasi-periodical and the concomitant (quasi) cyclostationarity. Results given here show linear ICA shortfalls in nonstationary environment which is precipitated by quadratic coupling between mother and fetal ECGs during events of synchronised QRS complexes and P-waves and account for more than 20% of the 100,000 maternal cardiac cycles obtained from several clinical trials.Keywords: Noninvasive fetal electrocardiogram, Blind source separation, linear/nonlinear independent component analysis, quadratically coupled sources, nonlinear and nonstationary mixtures. I. DISCUSSIONS I.1 Issues for discussions• The unsuitability of using linear independent component analysis (ICA) or blind source separation (BSS) to the problem of separating fetal heartbeat from transabdominally measured signals.• Wrong assumptions and conditions for solutions to the above problem.• Evidence of nonlinear coupling and (quasi) cyclostationarity in the transabdominally measured signals.• Present techniques for nonlinear ICA only cater for nonlinear mixtures and may not be adequate for nonlinear mixtures of individually nonlinear mother/fetal ECGs. I.2 Linear Independent Component Analysis (ICA)Blind source separation is to recover unobservable independent sources (or signals) from multiple observed data masked by linear mixing. Most existing algorithms for linear mixing models stem from the theory of the independent component analysis (ICA) [1]- [3]. Most of the second-order (SO) and fourth-order (FO) blind source separation methods developed this decade are aimed at blindly separating statistically independent sources that are assumed zero-mean, stationary and ergodic. Nevertheless, in many situations of practical interest, such as in ...

show abstract

Section: I3 Wrong Assumptions In Mother and Fetal Sourcementioning

confidence: 62%

Section: I3 Wrong Assumptions In Mother and Fetal Sourcementioning

confidence: 99%

Virtues and vices of source separation using linear independent component analysis for blind source separation of non-linearly coupled and synchronised fetal and mother ECGs

Sabry-Rizk

Zgallai

McLean

et al.

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Self Cite

View full text Add to dashboard Cite

show abstract

MUSIC Incorporating Uterine Contraction in Non-invasive Fetal Heartbeat Detection

Zgallai¹

2016

Computer Science &Amp; Information Technology ( CS &Amp; IT )

View full text Add to dashboard Cite

The aim of this paper is to detect fetal heart beats temporally overlapping with the transabdominally-measured QRS-complexes of the mother, non-invasively. Modified, Weighted and uterine contraction interference signal covariance matrix incorporated spectral MUSIC technique is applied. It is based on partitioning the subspace containing the ECG signal bearing the mother and fetal, and the orthogonal subspace containing the uterine contraction interference signal plus noise. This exploits the orthogonality between the signal and noise subspaces provided that the noise is additive white Gaussian. In the modified MUSIC, subsequent separation of the mother and fetal QRS-complexes is performed in their shared signal subspace.

show abstract

Detection and Classification of Adult and Fetal ECG Using Recurrent Neural Networks, Embedded Volterra and Higher-Order Statistics

Zgallai¹

2012

Recurrent Neural Networks and Soft Computing

View full text Add to dashboard Cite

Novel decision strategy for P-wave detection utilising nonlinearly synthesised ECG components and their enhanced pseudospectral resonances

Cited by 4 publications

References 8 publications

Virtues and vices of source separation using linear independent component analysis for blind source separation of non-linearly coupled and synchronised fetal and mother ECGs

Virtues and vices of source separation using linear independent component analysis for blind source separation of non-linearly coupled and synchronised fetal and mother ECGs

MUSIC Incorporating Uterine Contraction in Non-invasive Fetal Heartbeat Detection

Detection and Classification of Adult and Fetal ECG Using Recurrent Neural Networks, Embedded Volterra and Higher-Order Statistics

Contact Info

Product

Resources

About