Photoplethysmography and Heart Rate Variability for the Diagnosis of Preeclampsia.

ABSTRACT:

Background

The goal of this study was to determine a set of timing, shape, and statistical features available through noninvasive monitoring of maternal electrocardiogram and photoplethysmography that identifies preeclamptic patients.

Methods

Pregnant women admitted to Labor and Delivery were monitored with pulse oximetry and electrocardiogram for 30 minutes. Photoplethysmogram features and heart rate variability were extracted from each data set and applied to a sequential feature selection algorithm to discriminate women with preeclampsia with severe features, from normotensive and hypertensive controls. The classification boundary was chosen to minimize the expected misclassification cost. The prior probabilities of the misclassification costs were assumed to be equal.

SUBMITTER: Euliano TY 

PROVIDER: S-EPMC5820156 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature