2021
DOI: 10.3233/thc-202377
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Ventricular repolarization instability quantified by instantaneous frequency of ECG ST intervals

Abstract: BACKGROUND: Ventricular repolarization instabilities have been documented to be closely linked to arrhythmia development. The electrocardiogram (ECG) ST interval can be used to measure ventricular repolarization. Analyzing the duration variation of the ST intervals can provide new information about the arrhythmogenic vulnerability. OBJECTIVE: In this work, we propose a new method based on mean instantaneous frequency (IF) of the ST intervals to quantitatively evaluate the risk of sudden cardiac deaths (SCDs). … Show more

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Cited by 17 publications
(11 citation statements)
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“…The simulation results verify that the hierarchical estimation methods based on the separation have better performance than the modeling methods without separation. The proposed methods in this paper can combine other identification methods 61‐65 to investigate the parameter estimation problems of other linear and nonlinear models and control systems and can be applied to other fields 66‐73 such as signal processing, prediction and engineering application systems 74‐79 and so on.…”
Section: Discussionmentioning
confidence: 99%
“…The simulation results verify that the hierarchical estimation methods based on the separation have better performance than the modeling methods without separation. The proposed methods in this paper can combine other identification methods 61‐65 to investigate the parameter estimation problems of other linear and nonlinear models and control systems and can be applied to other fields 66‐73 such as signal processing, prediction and engineering application systems 74‐79 and so on.…”
Section: Discussionmentioning
confidence: 99%
“…The simulation results show that the proposed algorithms can generate more accurate parameter estimates and have a faster convergence rate than the recursive least squares algorithm and the auxiliary model-based stochastic gradient algorithm. The proposed methods can be extended to study identification problems of other scalar or multivariable, linear, or nonlinear stochastic systems with colored noises [61][62][63][64][65][66] and can be applied to fields [67][68][69][70][71] such as engineering manufacturing systems.…”
Section: Discussionmentioning
confidence: 99%
“…When λ=1, the FFSG algorithm reduces to the SG algorithm in (13)–(15). The FFSG parameter estimation method for a class of nonlinear systems in this article can combine some mathematical tools 45‐48 to study the parameter estimation problems of different systems with colored noises 49‐53 and can be applied to other literatures such as signal modeling and communication networked systems and engineering application systems 54‐60 and so forth.…”
Section: The Ffsg Algorithmmentioning
confidence: 99%