Efficient syncope prediction from resting state clinical data using wavelet bispectrum and multilayer perceptron neural network.
Neurally mediated syncope (NMS) is the most common type of syncope, and head up tilt test (HUTT) is, so far, the most appropriate tool to identify NMS. In this work, an effort to predict the NMS before performing the HUTT is attempted. To achieve this, the heart rate variability (HRV) at rest and du...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 6; pp. 1311 - 1325 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2021
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| Acceso en línea: | Ver este registro en EBSCOhost |