Title | ||
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Synthesized Cardiac Waveform in the Evaluation of Augmentation Index Algorithms - Case Study for a New Wavelet based Algorithm |
Abstract | ||
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We developed and tested the performance of a new wavelet based algorithm for Augmentation Index (AIx) determination. The evaluation method relies on reference cardiac-like pulses that are synthesized using a weighted combination of exponentially shaped sub-pulses that represent the three main components of real pulses: the systolic stroke, its reflected replica and the carotid reservoir or windkessel effect. The pulses are parameterized so as to reproduce the main types of cardiac waveforms. The values of AIx yielded by the new algorithm are compared with the ones computed directly from the synthesized waveform and with the values produced by standard Probability Density Function (PDF) analysis. |
Year | Venue | Keywords |
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2010 | BIOSIGNALS 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING | Augmentation index,Arterial blood pressure,Wavelets,Probability density function |
Field | DocType | Citations |
Pattern recognition,Computer science,Waveform,Algorithm,Artificial intelligence,Wavelet | Conference | 1 |
PageRank | References | Authors |
0.48 | 0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vânia Almeida | 1 | 7 | 5.10 |
Tânia Pereira | 2 | 24 | 8.61 |
Elisabeth Borges | 3 | 6 | 3.75 |
Edite Figueiras | 4 | 9 | 4.79 |
João Cardoso | 5 | 10 | 7.92 |
A. Correia | 6 | 19 | 8.62 |
Helena Catarina Pereira | 7 | 9 | 6.17 |
José Luís Malaquias | 8 | 4 | 1.64 |
J. Basílio Simões | 9 | 1 | 0.82 |