Clinical and diagnosis approach in pericardial effusions

2017 ◽  
Vol 3 (28) ◽  
Author(s):  
Călin Șerdean ◽  
Mario Codreanu
2008 ◽  
Vol 11 (1) ◽  
pp. E62-E65 ◽  
Author(s):  
Paulo M. Pêgo-Fernandes ◽  
Alessandro Wasum Mariani ◽  
Fabio Fernandes ◽  
Barbara M. Ianni ◽  
Noedir Groppo Stolf ◽  
...  

Author(s):  
Rommel Estores ◽  
Karo Vander Gucht

Abstract This paper discusses a creative manual diagnosis approach, a complementary technique that provides the possibility to extend Automatic Test Pattern Generation (ATPG) beyond its own limits. The authors will discuss this approach in detail using an actual case – a test coverage issue where user-generated ATPG patterns and the resulting ATPG diagnosis isolated the fault to a small part of the digital core. However, traditional fault localization techniques was unable to isolate the fault further. Using the defect candidates from ATPG diagnosis as a starting point, manual diagnosis through fault Injection and fault simulation was performed. Further fault localization was performed using the ‘not detected’ (ND) and/or ‘detected’ (DT) fault classes for each of the available patterns. The result has successfully deduced the defect candidates until the exact faulty net causing the electrical failure was identified. The ability of the FA lab to maximize the use of ATPG in combination with other tools/techniques to investigate failures in detail; is crucial in the fast root cause determination and, in case of a test coverage, aid in having effective test screen method implemented.


Author(s):  
Jianfeng Jiang

Objective: In order to diagnose the analog circuit fault correctly, an analog circuit fault diagnosis approach on basis of wavelet-based fractal analysis and multiple kernel support vector machine (MKSVM) is presented in the paper. Methods: Time responses of the circuit under different faults are measured, and then wavelet-based fractal analysis is used to process the collected time responses for the purpose of generating features for the signals. Kernel principal component analysis (KPCA) is applied to reduce the features’ dimensionality. Afterwards, features are divided into training data and testing data. MKSVM with its multiple parameters optimized by chaos particle swarm optimization (CPSO) algorithm is utilized to construct an analog circuit fault diagnosis model based on the testing data. Results: The proposed analog diagnosis approach is revealed by a four opamp biquad high-pass filter fault diagnosis simulation. Conclusion: The approach outperforms other commonly used methods in the comparisons.


Circulation ◽  
1996 ◽  
Vol 93 (12) ◽  
pp. 2197-2202 ◽  
Author(s):  
Eddy Barasch ◽  
Ramesh Hariharan ◽  
Ping Fai Wong ◽  
Kent A. Heck

2015 ◽  
Vol 24 (8) ◽  
pp. 1795-1811 ◽  
Author(s):  
Chun-Wang Wei ◽  
Yi-Chun Lin ◽  
Yen-Ting Lin

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