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For more verification, sensitivity and parametric analysis were conducted.
With PTB database, the method provides an identification accuracy of 92.9% and a verification sensitivity and specificity of 100%and89.9%9%.
The test set of healthy subjects in the ECG-ILSA database (N = 49) produces a lower verification sensitivity (89.8%) and identification accuracy (77.6%) but a better erroneous verification rate (16.1%).
The proposed method relies on assessment of correlation coefficients as well as their linear and nonlinear combinations and provides 100% verification sensitivity combined with 18.1% erroneous verification rate in the PTB database, a widely used test set in literature, with a relatively short temporal interval of ECG acquisition and a limited number of healthy subjects (N = 14).
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Model testing approach consist of verification, calibration, sensitivity analysis, validation and qualification stages.
Verification and sensitivity analysis of the models based on laboratory test data, with traditional Texas HMA mixes, yielded plausible results.
Furthermore, the model׳s functioning verification, simulation and sensitivity analysis are also shown.
When the results were adjusted for verification bias, the sensitivity decreased to 88% and specificity increased to 80%.
Discussion has been made on the correlation between experimental and theoretical results for the verification of sensing sensitivity and accuracy.
A number of papers have recently emphasised the importance of verification, validation and sensitivity testing in computational studies within the field of biomechanical engineering.
This review examines the methods used in the development of spinal finite element models with a view to a standardised framework of verification, validation and sensitivity analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com