Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods

Nejadgholi, Isar; Moradi, Mohammad Hassan; Abdolali, Fatemeh

doi:10.1016/j.compbiomed.2011.04.003

Cited by 40 publications

(22 citation statements)

References 22 publications

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“…The phase-space analysis technique has previously been used successfully as a method for the detection of coronary occlusion, the identification of ECG arrhythmias, analyses of QRS-complex time series, for distinguishing extrasystoles from normal heartbeats and for the understanding of heart rhythm dynamics [15][16][17][18][19][20][21][22][23][24][25][26]. However, in the above studies, the PSR method relies on visual examination of trajectories in PSR [27].…”

Section: Discussionmentioning

confidence: 99%

Prompt and accurate diagnosis of ventricular arrhythmias with a novel index based on phase space reconstruction of ECG

Koulaouzidis

Das

Cappiello

et al. 2015

International Journal of Cardiology

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Aim: To develop a statistical index based on the phase space reconstruction (PSR) of the electrocardiogram (ECG) for the accurate and timely diagnosis of ventricular tachycardia (VT) and ventricular fibrillation (VF). Methods: Thirty-two ECGs with sinus rhythm (SR) and 32 ECGs with VT/VF were analyzed using the PSR technique. Firstly, the method of time delay embedding were employed with the insertion of delay "τ" in the original time-series X(t), which produces the Y(t) = X(t − τ). Afterwards, a PSR diagram was reconstructed by plotting Y(t) against X(t). The method of box counting was applied to analyze the behavior of the PSR trajectories. Measures as mean (μ), standard deviation (σ) and coefficient of variation (CV = σ/μ), kurtosis (β) for the box counting of PSR diagrams were reported. Results: During SR, CV was always b0.05, while with the onset of arrhythmia CV increased N0.05. A similar pattern was observed with β, where b 6 was considered as the cut-off point between SR and VT/VF. Therefore, the upper threshold for SR was considered CV th = 0.05 and β th b 6. For optimisation of the accuracy, a new index (J) was proposed: J ¼ w CV CV th þ 1−w ð Þ β β th : During SR the upper limit of J was the value of 1. Furthermore CV, β and J crossed the cut-off point timely before the onset of arrhythmia (average time: 4 min 31 s; SD: 2 min 30 s); allowing sufficient time for preventive therapy. Conclusion: The J index improved ECG utility for arrhythmia monitoring and detection utility, allowing the prompt and accurate diagnosis of ventricular arrhythmias.

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Section: Discussionmentioning

confidence: 99%

Prompt and accurate diagnosis of ventricular arrhythmias with a novel index based on phase space reconstruction of ECG

Koulaouzidis

Das

Cappiello

et al. 2015

International Journal of Cardiology

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“…If τ and m are too large, they add complexity and increase the number of data needed for an experiment [26]. If they are too small, the complex nature of the matter may not be captured in the phase space [26]. Popular ways for determining a proper delay time include: (1) Autocorrelation function; (2) Average mutual information (AMI); (3) Correlation Integral [27].…”

Section: Phase Space Reconstructionmentioning

confidence: 99%

“…τ and m are two important parameters in the phase space reconstruction. If τ and m are too large, they add complexity and increase the number of data needed for an experiment [26]. If they are too small, the complex nature of the matter may not be captured in the phase space [26].…”

Section: Phase Space Reconstructionmentioning

confidence: 99%

A study of human colonic motility in healthy and constipated subjects using the wireless capsule

Lü

Yan

Sun

2015

Computers in Biology and Medicine

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“…In contrast to widespread used classification methods applied to ECG and EEG signals, standard classification methods for BIS data have not been established yet [11,12].…”

Section: Introductionmentioning

confidence: 99%

A comparative study of PCA, SIMCA and Cole model for classification of bioimpedance spectroscopy measurements

Nejadgholi

Bolić

2015

Computers in Biology and Medicine

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Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods

Cited by 40 publications

References 22 publications

Prompt and accurate diagnosis of ventricular arrhythmias with a novel index based on phase space reconstruction of ECG

Prompt and accurate diagnosis of ventricular arrhythmias with a novel index based on phase space reconstruction of ECG

A study of human colonic motility in healthy and constipated subjects using the wireless capsule

A comparative study of PCA, SIMCA and Cole model for classification of bioimpedance spectroscopy measurements

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