Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/36605
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Hidden Markov models based on symbolic dynamics for statistical modeling of cardiovascular control in hypertensive pregnancy disorders |
Author: | Baier, V. Baumert, M. Caminal, P. Vallverdu, M. Faber, R. Voss, A. |
Citation: | IEEE Transactions on Biomedical Engineering, 2006; 53(1):140-143 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2006 |
ISSN: | 0018-9294 1558-2531 |
Statement of Responsibility: | V. Baier, M. Baumert, P. Caminal, M. Vallverdú, R. Faber, and A. Voss |
Abstract: | Discrete hidden Markov models (HMMs) were applied to classify pregnancy disorders. The observation sequence was generated by transforming RR and systolic blood pressure time series using symbolic dynamics. Time series were recorded from 15 women with pregnancy-induced hypertension, 34 with preeclampsia and 41 controls beyond 30th gestational week. HMMs with five to ten hidden states were found to be sufficient to characterize different blood pressure variability, whereas significant classification in RR-based HMMs was found using fifteen hidden states. Pregnancy disorders preeclampsia and pregnancy induced hypertension revealed different patho-physiological autonomous regulation supposing different etiology of both disorders. |
Keywords: | Humans Hypertension, Pregnancy-Induced Diagnosis, Computer-Assisted Blood Pressure Determination Electrocardiography Models, Statistical Markov Chains Pregnancy Blood Pressure Heart Rate Algorithms Models, Cardiovascular Feedback Computer Simulation Pattern Recognition, Automated Female Statistics as Topic |
Description: | Copyright © 2006 IEEE |
DOI: | 10.1109/TBME.2005.859812 |
Published version: | http://dx.doi.org/10.1109/tbme.2005.859812 |
Appears in Collections: | Aurora harvest 6 Electrical and Electronic Engineering publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
hdl_36605.pdf | 173.68 kB | Publisher's PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.