Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping

Annoni, Elizabeth M.; Arunachalam, Shivaram P.; Kapa, Suraj; Mulpuru, Siva K.; Friedman, Paul A.; Tolkacheva, Elena G.

doi:10.1109/tbme.2017.2763460

Cited by 28 publications

(25 citation statements)

References 28 publications

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“…the irregularity index or CFAE) target the periphery of a source region, and may not necessarily identify the sites of the rotor tip or core [32]. Relatively new mapping methods based on signal processing (such as PCA [13], kurtosis and spatial Shannon entropy measurement [14]) are still being tested and have not been fully proven as more effective for the discovery of rotor pivot locations. Moreover, none of these mapping methods has been successfully implemented in clinical settings; hence, the need for another approach to improve mapping.…”

Section: Discussionmentioning

confidence: 99%

“…Phase analysis employing phase singularity evaluation has been used to detect rotors and their pivot points [12]. Other complex methods have been suggested to detect the origin points of rotors, including principal component analysis, multi-scale frequency (MSF), kurtosis and spatial Shannon entropy measurement [13], [14]. However, the success rate of these guided-electrogram ablation procedures has not been shown to be better than the empirical ablation procedure, which range from 60 to 90% for both [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

“…However, the success rate of these guided-electrogram ablation procedures has not been shown to be better than the empirical ablation procedure, which range from 60 to 90% for both [15]- [17]. In addition, current ablation techniques have other drawbacks such as the ambiguities of the correlations between the underlying arrhythmogenic activity and its electrogram manifestation, and the recurrence of AF after a certain length of time [14], [17]. Thus, finding new methods to improve the detection and the characterization of arrhythmogenic sources during the guided ablation procedures is needed to increase long-term success rates and reduce the unnecessary obliteration of healthy tissue.…”

Section: Introductionmentioning

confidence: 99%

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Doppler-Based Algorithm for Mapping Cardiac Rotors by Induced Temperature Perturbations

Malki

Barnea

Tuller

2018

Preprint

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Electrogram-guided ablation for mapping of abnormal atrial activity has become increasingly popular in clinical applications. However, current methods have several limitations, and none have been shown to increase the ablation procedure success rate more than empirical ablation procedures. Here we present a new approach to identify arrhythmogenic sources as targets for ablation. Based on our previous findings that rotor drifting can be characterized by a local temperature gradient within the tissue, this article describes an innovative induced temperature technique which exploits the fact that rotor drifting produces Doppler shifts in the dominant frequency as measured at stationary locations. A mathematical algorithm is detailed to solve the inverse problem, reconstruct the drift trajectory, and predict the rotor origin location. Mathematical modeling and computer simulations demonstrate the feasibility of the new approach for rotors and focal source, two well-known arrhythmogenic sources of irregular conduction. Performance was extensively investigated for different numbers of electrodes and varied SNRs. Random conditions were also taken into account, since the electrodes' array position and the initial location of the rotor pivot can impact the outcomes. By using temperature perturbation and employing the Doppler algorithm, the rotor drift trajectory and the origin region is shown to be estimated. We consider ways in which this technique can be extended to differentiate between rotors and ectopic activity. Future experimental and clinical validations should lead to potential use in ablation procedures and improve localization capabilities, thus increasing success rates and optimizing arrhythmia management.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Doppler-Based Algorithm for Mapping Cardiac Rotors by Induced Temperature Perturbations

Malki

Barnea

Tuller

2018

Preprint

View full text Add to dashboard Cite

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“…A novel multiscale frequency technique was proposed for analyzing biomedical signals and successfully applied for rotor identification [9][10][11], AF and NSR discrimination [12] etc. To summarize briefly, eight Log-Gabor filters were designed and used with a relative filter bandwidth B of 2√2, one octave apart and the center frequencies for the log-Gabor filters were chosen to accommodate the frequency range of PCG signals from humans.…”

Section: Multiscale Frequency Techniquementioning

confidence: 99%

Profiling Multiscale Frequency State of Normal Phonocardiogram: Feasibility Study

Sundaram

Anjani

Balasubramani³

et al. 2019

2019 Design of Medical Devices Conference

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Phonocardiogram (PCG) signals contain very important information regarding the heart condition. Recently, several automatic detection algorithms have been explored to profile the characteristics of heart sounds to aid in disease diagnosis. However, many of these methods has been demonstrated only on clean signals with limited test data and variety of PCG signals that can accurately provide information of diagnostic importance with higher sensitivity and specificity. In this work, we propose to characterize the multiscale frequency state of the normal PCG signals that can aid in accurate profiling of PCG to discriminate from pathological conditions.

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“…points using optical mapping data for both stable and meandering rotors [5][6][7]. Publically available ECG traces with NSR (n=10) and sleep apnea (n=10) were taken from the MIT-BIH Physionet and Physiobank database [8].…”

Section: Dmd2018-6948mentioning

confidence: 99%

Multiscale Entropy Technique Discriminates Single Lead ECG’s With Normal Sinus Rhythm and Sleep Apnea

Shivaram

Muthyala

Meghji

et al. 2018

2018 Design of Medical Devices Conference

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Sleep apnea is characterized by abnormal interruptions in breathing during sleep due to partial or complete airway obstructions affecting middle-aged men and women on an estimated ∼4% of the population [1]. While the disorder is clinically manageable to relieve patients, the challenge occurs with diagnosis, with many patients going undiagnosed leading to further complications such as ischemic heart diseases, stroke etc. Sleep apnea also significantly affects the quality of day to day life causing sleepiness and fatigue. Polysomnography (PSG) technique is currently a used for detecting sleep apnea which is a comprehensive sleep test to diagnose sleep disorders by recording brain waves, the oxygen level in the blood, heart rate, breathing, eye and leg movements during the study. However, PSG test is very expensive, requires patients to stay overnight and is known to cause inconvenience to the patients.

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Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping

Abstract: New techniques providing more accurate rotor localization could improve characterization of arrhythmias and, in turn, offer a means to accurately evaluate whether rotor ablation is a viable and effective treatment for chaotic cardiac arrhythmias.

Cited by 28 publications

References 28 publications

Doppler-Based Algorithm for Mapping Cardiac Rotors by Induced Temperature Perturbations

Doppler-Based Algorithm for Mapping Cardiac Rotors by Induced Temperature Perturbations

Profiling Multiscale Frequency State of Normal Phonocardiogram: Feasibility Study

Multiscale Entropy Technique Discriminates Single Lead ECG’s With Normal Sinus Rhythm and Sleep Apnea

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