Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG

Lee, Jieun; Guo, Yugene; Ravikumar, Vasanth; Tolkacheva, Elena G.

doi:10.3390/e22050531

Cited by 5 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, Costa et al proposed the MSE method for estimating entropies from an entire set of coarse-grained time series to quantify the series' complexity [21,22]. The MSE method has been widely applied to quantify various biosignals, including electroencephalograpy [23], electrocardiography [24], and electromyography [25] signals. The wide application of MSE in medical diagnosis and analysis are due to its ability to correct the erratic estimations of traditional entropy-based methods [26].…”

Section: Mse Methodsmentioning

confidence: 99%

A novel method for assessing cardiac function in patients with coronary heart disease based on wrist pulse analysis

Chen

Guo

et al. 2023

Ir J Med Sci

View full text Add to dashboard Cite

Background The timely assessment of B-type natriuretic peptide (BNP) marking chronic heart failure risk in patients with coronary heart disease (CHD) helps to reduce patients’ mortality. Objective To evaluate the potential of wrist pulse signals for use in the cardiac monitoring of patients with CHD. Methods A total of 419 patients with CHD were assigned to Group 1 (BNP < 95 pg/mL, n = 249), 2 (95 < BNP < 221 pg/mL, n = 85), and 3 (BNP > 221 pg/mL, n = 85) according to BNP levels. Wrist pulse signals were measured noninvasively. Both the time-domain method and multiscale entropy (MSE) method were used to extract pulse features. Decision tree (DT) and random forest (RF) algorithms were employed to construct models for classifying three groups, and the models’ performance metrics were compared. Results The pulse features of the three groups differed significantly, suggesting different pathological states of the cardiovascular system in patients with CHD. Moreover, the RF models outperformed the DT models in performance metrics. Furthermore, the optimal RF model was that based on a dataset comprising both time-domain and MSE features, achieving accuracy, average precision, average recall, and average F1-score of 90.900%, 91.048%, 90.900%, and 90.897%, respectively. Conclusions The wrist pulse detection technology employed in this study is useful for assessing the cardiac function of patients with CHD.

show abstract

Section: Mse Methodsmentioning

confidence: 99%

A novel method for assessing cardiac function in patients with coronary heart disease based on wrist pulse analysis

Chen

Guo

et al. 2023

Ir J Med Sci

View full text Add to dashboard Cite

show abstract

“…Biological systems like human movements are highly nonlinear [10]. Different studies have investigated the association between chaotic dynamics and human activities, especially in hand movements [11,12] . Some studies have evaluated voluntary control of hand motion and its chaotic behavior during target tracking tasks [13,14].…”

Section: Introductionmentioning

confidence: 99%

A novel stretching and folding characterization method based on geometrical and physiological traits of chaotic and intermittent tracking signals

2023

View full text Add to dashboard Cite

The specification of stretching and folding properties, particularly in time series, is of substantial interest. This study is sought to perceive the relationship between stretching and folding and irregular discontinuities in hand motion trajectories during target tracking tasks. In this regard, a new method is proposed based on compiling physiological characteristics and hand motion dynamics' geometrical traits. Thus, five tracking conditions are designed in which participants are instructed to track different target motion patterns. In these experiments, sinusoidal and trapezoidal target movements with frequencies of 0.1 and 0.3 Hz, as well as pseudo-periodic target motion created by summing two sinusoids with frequencies of 0.117 and 0.278 Hz, are used as visual targets. The results illustrate that nonuniform discontinuities are noticeable properties of the hand motion trajectory. Also, the largest Lyapunov exponent, correlation dimension, and fractal dimension corroborate that the tracking attractor is low-dimensional and chaotic. Moreover, the results are compared with the curvature-based method, and its modified version is presented by taking advantage of the proposed method. As a result, through the suggested method, stretching and folding points are well discerned regardless of discontinuities. This method can deal with the systems with intermittency in both times-and state space.

show abstract

“…The intrinsic differences in signal parameters, such as frequency, entropy, and amplitude, are extracted by our methods to discriminate signals from different EGM locations. Previously, we demonstrated the range of various applications of our methods, including AF discrimination using single lead surface ECG, VF prediction, rotor core identification, and discriminating any electrical signals with different characteristics 43. In this study, we have used these methods to differentiate the core of the rotor from its periphery by utilizing EGM recordings.…”

mentioning

confidence: 99%

Novel mapping techniques for rotor core detection using simulated intracardiac electrograms

Ravikumar

Annoni

Parthiban

et al. 2021

Cardiovasc electrophysiol

Self Cite

View full text Add to dashboard Cite

Background: Catheter ablation is associated with limited success rates in patients with persistent atrial fibrillation (AF). Currently, existing mapping systems fail to identify critical target sites for ablation. Recently, we proposed and validated several techniques (multiscale frequency [MSF], Shannon entropy [SE], kurtosis [Kt], and multiscale entropy [MSE]) to identify pivot point of rotors using ex-vivo optical mapping animal experiments. However, the performance of these techniques is unclear for the clinically recorded intracardiac electrograms (EGMs), due to the different nature of the signals.Objective: This study aims to evaluate the performance of MSF, MSE, SE, and Kt techniques to identify the pivot point of the rotor using unipolar and bipolar EGMs obtained from numerical simulations.Methods: Stationary and meandering rotors were simulated in a 2D human atria.The performances of new approaches were quantified by comparing the "true" core of the rotor with the core identified by the techniques. Also, the performances of all techniques were evaluated in the presence of noise, scar, and for the case of the multielectrode multispline and grid catheters.Results: Our results demonstrate that all the approaches are able to accurately identify the pivot point of both stationary and meandering rotors from both unipolar and bipolar EGMs. The presence of noise and scar tissue did not significantly affect the performance of the techniques. Finally, the core of the rotors was correctly identified for the case of multielectrode multispline and grid catheter simulations. Conclusion:The core of rotors can be successfully identified from EGMs using novel techniques; thus, providing motivation for future clinical implementations.

show abstract

Towards the Development of Nonlinear Approaches to Discriminate AF from NSR Using a Single-Lead ECG

Cited by 5 publications

References 30 publications

A novel method for assessing cardiac function in patients with coronary heart disease based on wrist pulse analysis

A novel method for assessing cardiac function in patients with coronary heart disease based on wrist pulse analysis

A novel stretching and folding characterization method based on geometrical and physiological traits of chaotic and intermittent tracking signals

Novel mapping techniques for rotor core detection using simulated intracardiac electrograms

Contact Info

Product

Resources

About