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...
| Published in: | Medical & Biological Engineering & Computing Vol. 59; no. 6; pp. 1311 - 1325 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jun2021
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| Online Access: | View this record in EBSCOhost |