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Real-time waveform analysis using artificial neural networks (divisional).
Real-time waveform analysis using artificial neural networks.
Both AE parameter analysis and waveform analysis were carried out.
Possible additional topics: advanced acoustics and waveform analysis, reading and misreading MRI data.
RESULTS: Interobserver agreement in the waveform analysis for the four interpreters was statistically significant (p < 0.001).
*ST Waveform Analysis initiated in 2003.
Waveform analysis included basic statistics, integral and derivative calculus.
Fig. 4 shows examples of the performed waveform analysis.
Carotid pressure waveform analysis showed no changes in reflection time and AIx with training (Table 1).
Each signal was analyzed using e-MOUSE™, an Internet-based physiologic waveform analysis portal.
Arterial waveform analysis is used to calculate vascular resistance and compliance.
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