Development of new signal analysis methods as preoperative predictors of the Cox-Maze procedure outcome in atrial fibrillation

Author(s):  
ANTONIO HERNÁNDEZ ALONSO
Circulation ◽  
1995 ◽  
Vol 92 (9) ◽  
pp. 359-364 ◽  
Author(s):  
Yoshio Kosakai ◽  
Akira T. Kawaguchi ◽  
Fumitaka Isobe ◽  
Yoshikado Sasako ◽  
Kiyoharu Nakano ◽  
...  

2008 ◽  
Vol 85 (4) ◽  
pp. 1283-1289 ◽  
Author(s):  
Yong Qiang Cui ◽  
Ling Bo Sun ◽  
Yan Li ◽  
Chun Lei Xu ◽  
Jie Han ◽  
...  

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
Leanne Harling ◽  
Thanos Athanasiou ◽  
Hutan Ashrafian ◽  
Justin Nowell ◽  
Antonios Kourliouros

Atrial fibrillation (AF) is associated with substantial morbidity, mortality, and economic burden and confers a lifetime risk of up to 25%. Current medical management involves thromboembolism prevention, rate, and rhythm control. An increased understanding of AF pathophysiology has led to enhanced pharmacological and medical therapies; however this is often limited by toxicity, variable symptom control, and inability to modulate the atrial substrate. Surgical AF ablation has been available since the original description of the Cox Maze procedure, either as a standalone or concomitant intervention. Advances in novel energy delivery systems have allowed the development of less technically demanding procedures potentially eliminating the need for median sternotomy and cardiopulmonary bypass. Variations in the definition, duration, and reporting of AF have produced methodological limitations impacting on the validity of interstudy comparisons. Standardization of these parameters may, in future, allow us to further evaluate clinical endpoints and establish the efficacy of these techniques.


Surgery Today ◽  
1996 ◽  
Vol 26 (2) ◽  
pp. 135-137 ◽  
Author(s):  
Taijiro Sueda ◽  
Hiroo Shikata ◽  
Kazumasa Orihashi ◽  
Norimasa Mitsui ◽  
Hideyuki Nagata ◽  
...  

Author(s):  
Renato A. K. Kalil ◽  
Paula L. M. Nesralla ◽  
Gustavo G. Lima ◽  
Tiago L. Leiria ◽  
Rogério Abrahão ◽  
...  

2014 ◽  
Vol 6 ◽  
pp. 210717 ◽  
Author(s):  
Ahmed M. Abdelrhman ◽  
Lim Meng Hee ◽  
M. S. Leong ◽  
Salah Al-Obaidi

Blade faults and blade failures are ranked among the most frequent causes of failures in turbomachinery. This paper provides a review on the condition monitoring techniques and the most suitable signal analysis methods to detect and diagnose the health condition of blades in turbomachinery. In this paper, blade faults are categorised into five types in accordance with their nature and characteristics, namely, blade rubbing, blade fatigue failure, blade deformations (twisting, creeping, corrosion, and erosion), blade fouling, and loose blade. Reviews on characteristics and the specific diagnostic methods to detect each type of blade faults are also presented. This paper also aims to provide a reference in selecting the most suitable approaches to monitor the health condition of blades in turbomachinery.


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