Reconstruction of gastric slow wave from finger photoplethysmographic signal using radial basis function neural network.
Extraction of extra-cardiac information from photoplethysmography (PPG) signal is a challenging research problem with significant clinical applications. In this study, radial basis function neural network (RBFNN) is used to reconstruct the gastric myoelectric activity (GMA) slow wave from finger PPG...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 49; no. 11; pp. 1241 - 1248 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Nov2011
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| Acceso en línea: | Ver este registro en EBSCOhost |