- Optogenetics in cardiology: methodology and future applications
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Sung Y, Wang T, Lin T, Lin S
- KMID: 2530964
- Int J Arrhythm.
- 2022 Jun;23(2):9.
- doi: 10.1186/s42444-022-00060-4
Optogenetics is an emerging biological approach with the unique capability of specific targeting due to the precise light control with high spatial and temporal resolution. It uses selected light wavelengths... -
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- Effect on sinus cycle length and atrioventricular node function after high‑power short‑duration versus conventional radiofrequency catheter ablation in paroxysmal atrial fibrillation
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Do U, Kim M, Cho M, Nam G, Choi K, Jun J
- KMID: 2530967
- Int J Arrhythm.
- 2022 Jun;23(2):12.
- doi: 10.1186/s42444-022-00063-1
Background: The efficacy and safety of high-power, short-duration (HPSD) radiofrequency catheter ablation for atrial fibrillation (AF) have been demonstrated in several studies. We aimed to evaluate and compare the effects... -
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- Sudden cardiac death in heart failure with preserved ejection fraction: an updated review
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Wu S, Hsieh Y
- KMID: 2530963
- Int J Arrhythm.
- 2022 Jun;23(2):7.
- doi: 10.1186/s42444-021-00059-3
Despite the advances in medical and device therapies for heart failure (HF), sudden cardiac death (SCD) remains a tremendous global burden in patients with HF. Among the risk factors for... -
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- Electrolyte’s imbalance role in atrial fibrillation: Pharmacological management
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Rafaqat S, Rafaqat S, Khurshid H, Rafaqat S
- KMID: 2530970
- Int J Arrhythm.
- 2022 Jun;23(2):15.
- doi: 10.1186/s42444-022-00065-z
The contribution of the perpetuation of atrial fibrillation is caused by electrical remodeling in which calcium, sodium and potassium channels could refer to changes in the ion channel protein expression,... -
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- ECG optimisation for CRT systems in the era of automatic algorithms: a comprehensive review
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Zoppo F, Cocciolo A, Mangiameli D, Perazza L, Corrado A
- KMID: 2530969
- Int J Arrhythm.
- 2022 Jun;23(2):14.
- doi: 10.1186/s42444-022-00067-x
Cardiac resynchronisation therapy (CRT) may fail in up to one third of patients, mainly due to anatomical and procedural issues. In the daily practice, ECG optimisation is largely used to... -
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- Clinical outcomes in patients with persistent atrial fibrillation after technologic advances including contact force‑guided and ablation index‑guided ablation
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Jeon W, Lee S, Choi E, Oh S
- KMID: 2530968
- Int J Arrhythm.
- 2022 Jun;23(2):13.
- doi: 10.1186/s42444-022-00064-0
Purpose: We aimed to evaluate the influence of technological advances on ablation outcomes in patients with persistent atrial fibrillation (AF) (PeAF). Radiofrequency ablation for patients with AF has advanced, including... -
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- Machine learning techniques for arrhythmic risk stratification: a review of the literature
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Chung C, Bazoukis G, Lee S, Liu Y, Liu T, Letsas K, Armoundas A, Tse G
- KMID: 2530965
- Int J Arrhythm.
- 2022 Jun;23(2):10.
- doi: 10.1186/s42444-022-00062-2
Ventricular arrhythmias (VAs) and sudden cardiac death (SCD) are significant adverse events that affect the morbidity and mortality of both the general population and patients with predisposing cardiovascular risk factors.... -
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- Machine learning based potentiating impacts of 12‑lead ECG for classifying paroxysmal versus non‑paroxysmal atrial fibrillation
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Kim S, Kwon S, Markey M, Bovik A, Hong S, Kim J, Hwang H, Joung B, Pak H, Lee M, Park J
- KMID: 2530966
- Int J Arrhythm.
- 2022 Jun;23(2):11.
- doi: 10.1186/s42444-022-00061-3
Background: Conventional modality requires several days observation by Holter monitor to differentiate atrial fibril‑ lation (AF) between Paroxysmal atrial fibrillation (PAF) and Non-paroxysmal atrial fibrillation (Non-PAF). Rapid and practical differentiating... -
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