Clinical Importance of Computer Assisted Longterm ECG Analysis

1982 ◽  
pp. 16-28
Author(s):  
H. S. Weber ◽  
G. Joskowicz ◽  
D. Glogar ◽  
K. K. Steinbach ◽  
F. Kaindl
Keyword(s):  
Clinical Importance ◽  
Computer Assisted ◽  
Ecg Analysis

Methodology of ECG Interpretation in the Louvain Program

1990 ◽  
Vol 29 (04) ◽  
pp. 403-409 ◽  
Author(s):  
C. R. Brohet ◽  
C. Derwael ◽  
A. Robert ◽  
R. Fesler
Keyword(s):  
Quantitative Analysis ◽  
High Resolution ◽  
Clinical Utility ◽  
Visual Analysis ◽  
Diagnostic Classification ◽  
Computer Assisted ◽  
Reference Standard ◽  
Independent Evidence ◽  
Ecg Analysis ◽  
Ecg Interpretation

AbstractThe Louvain program performs the analysis and interpretation of the vectorcardiogram (VCG) to increase the clinical utility of ECG analysis. Among its original features, there are (1) a high-resolution vector-loop display for visual analysis, (2) quantitative analysis of the spatial VCG using age-sex stratified limits, (3) separate software for adult and pediatric series and (4) complementary deterministic and statistical methods of diagnostic classification. Using objective, ECG-independent evidence as a reference standard, the Louvain program has shown satisfactory levels of diagnostic accuracy in most basic categories. However, its usefulness is especially marked in “borderline” or “complex” situations, where the 12-lead ECG cannot provide a clear answer. It corresponds to the concept of “computer-assisted ECG interpretation” as opposed to “computer ECG analysis”.

scholarly journals Comparative Analysis of Fracture Resistance between CAD/CAM Materials for Interim Fixed Prosthesis

Materials ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 7791
Author(s):  
Cristian Abad-Coronel ◽  
Elena Carrera ◽  
Nancy Mena Córdova ◽  
Jorge I. Fajardo ◽  
Paulina Aliaga
Keyword(s):  
Rapid Prototyping ◽  
Computer Aided Design ◽  
Testing Machine ◽  
Clinical Importance ◽  
Sao Paulo ◽  
Computer Assisted ◽  
São Paulo ◽  
Hybrid Resin ◽  
Fixed Dental Prosthesis ◽  
Cad Cam

The aim of this study was to evaluate and compare the resistance to fracture of interim restorations obtained through additive techniques (3D impressions) and subtractive techniques (milling) using a computer-aided design and manufacture (CAD/CAM) system of a three-unit fixed dental prosthesis (FDP) to ascertain its clinical importance. (1) Materials and methods: In total, 40 samples were manufactured and divided into two groups (n = 20) using: (1) light-curing micro hybrid resin for temporary crowns and bridges (PriZma 3D Bio Prov, MarketechLabs, São Paulo, Brazil) for the rapid prototyping group (RP) and (2) a polymethylmethacrylate (PMMA) CAD/CAM disc (Vipiblock Trilux, VIPI, São Paulo, Brazil) for the computer-assisted milling (CC). The resistance to fracture was determined with a universal testing machine. (2) Results: The strength and the standard deviation for the computer-assisted milling group were higher (1663.57 ± 130.25 N) than the rapid prototyping (RP) group, which had lower values of (1437.74 ± 73.41 N). (3) Conclusions: The provisional restorations from the computer-assisted milling group showed a greater resistance to fracture than the provisional restorations obtained from the rapid prototyping group.

scholarly journals Usefulness of computer-assisted ECG analysis in the pre-operative evaluation of noncardiac surgery

2020 ◽  
Vol 37 (11) ◽  
pp. 1075-1077
Author(s):  
Ancor Sanz-García ◽  
Alberto Cecconi ◽  
Enrique Alday ◽  
Maurizio Cecconi ◽  
Miriam Perez-Romero ◽  
...  
Keyword(s):  
Noncardiac Surgery ◽  
Computer Assisted ◽  
Ecg Analysis ◽  
Operative Evaluation

scholarly journals Application of Pre-Trained Deep Learning Models for Clinical ECGs

2021 ◽  
Author(s):  
Theresa Bender ◽  
Tim Seidler ◽  
Philipp Bengel ◽  
Ulrich Sax ◽  
Dagmar Krefting
Keyword(s):  
Deep Learning ◽  
Clinical Relevance ◽  
Added Value ◽  
Computer Assisted ◽  
Rounding Errors ◽  
Ecg Analysis ◽  
Runtime Environment ◽  
Assisted Diagnosis ◽  
Electrocardiogram Ecg ◽  
Complex Cases

Automatic electrocardiogram (ECG) analysis has been one of the very early use cases for computer assisted diagnosis (CAD). Most ECG devices provide some level of automatic ECG analysis. In the recent years, Deep Learning (DL) is increasingly used for this task, with the first models that claim to perform better than human physicians. In this manuscript, a pilot study is conducted to evaluate the added value of such a DL model to existing built-in analysis with respect to clinical relevance. 29 12-lead ECGs have been analyzed with a published DL model and results are compared to build-in analysis and clinical diagnosis. We could not reproduce the results of the test data exactly, presumably due to a different runtime environment. However, the errors were in the order of rounding errors and did not affect the final classification. The excellent performance in detection of left bundle branch block and atrial fibrillation that was reported in the publication could be reproduced. The DL method and the built-in method performed similarly good for the chosen cases regarding clinical relevance. While benefit of the DL method for research can be attested and usage in training can be envisioned, evaluation of added value in clinical practice would require a more comprehensive study with further and more complex cases.

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