Entropy Measures as Descriptors to Identify Apneas in Rheoencephalographic Signals
Abstract
Rheoencephalography (REG) is a simple and inexpensive technique that intends to monitor cerebral blood flow (CBF), but its ability to reflect CBF changes has not been extensively proved. Based on the hypothesis that alterations in CBF during apnea should be reflected in REG signals under the form of increased complexity, several entropy metrics were assessed for REG analysis during apnea and resting periods in 16 healthy subjects: approximate...
Paper Details
Title
Entropy Measures as Descriptors to Identify Apneas in Rheoencephalographic Signals
Published Date
Jun 18, 2019
Journal
Volume
21
Issue
6
Pages
605 - 605
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