Document Detail

Identification of nonstationary dynamics in physiological recordings.
MedLine Citation:
PMID:  10933239     Owner:  NLM     Status:  MEDLINE    
We present a novel framework for the analysis of time series from dynamical systems that alternate between different operating modes. The method simultaneously segments and identifies the dynamical modes by using predictive models. In extension to previous approaches, it allows an identification of smooth transition between successive modes. The method can be used for analysis, diagnosis, prediction, and control. In an application to EEG and respiratory data recorded from humans during afternoon naps, the obtained segmentations of the data agree with the sleep stage segmentation of a medical expert to a large extent. However, in contrast to the manual segmentation, our method does not require a priori knowledge about physiology. Moreover, it has a high temporal resolution and reveals previously unclassified details of the transitions. In particular, a parameter is found that is potentially helpful for vigilance monitoring. We expect that the method will generally be useful for the analysis of nonstationary dynamical systems, which are abundant in medicine, chemistry, biology and engineering.
J Kohlmorgen; K R Müller; J Rittweger; K Pawelzik
Related Documents :
7573379 - Brief communication: non-circular geometry and radiogrammetry of the second metacarpal.
21087939 - A sparse intraoperative data-driven biomechanical model to compensate for brain shift d...
19964159 - An articulated statistical shape model for accurate hip joint segmentation.
22250699 - Bioequivalence challenges in development of fixed-dose combination products: looking be...
15450219 - Automated segmentation of the left ventricle in cardiac mri.
8110629 - Texture classification and segmentation algorithms in man and machines.
18179069 - Multiple-attribute group decision making with different formats of preference informati...
12069509 - Optimizing presurgical orthodontic planning by means of the transverse coordinate simul...
24766159 - Standardization of rna chemical mapping experiments.
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Biological cybernetics     Volume:  83     ISSN:  0340-1200     ISO Abbreviation:  Biol Cybern     Publication Date:  2000 Jul 
Date Detail:
Created Date:  2000-11-09     Completed Date:  2000-12-07     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  7502533     Medline TA:  Biol Cybern     Country:  GERMANY    
Other Details:
Languages:  eng     Pagination:  73-84     Citation Subset:  IM    
GMD FIRST, Berlin, Germany.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Markov Chains
Models, Neurological*
Sleep Stages / physiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Disparity tuning as simulated by a neural net.
Next Document:  Hepatitis C virus infection in cocaine users--a silent epidemic.