Document Detail

Semiautomatic procedure for the investigation of synchronized activity of EEG and heart rate--examination of preterm births
MedLine Citation:
PMID:  15792197     Owner:  NLM     Status:  MEDLINE    
Recordings of the electroencephalogram (EEG) and of the heart rate variability (HRV) of preterm neonates can give important information on the actual state of the nervous system. Both signals, EEG and HRV, are affected by parameters such as gestational age, stage of maturation and behavioral state. This work describes a method for automatic detection of slow wave EEG-bursts and a tool to average changes in the EEG and the corresponding heart rate. The detection is based on the hjorth activity (HA), calculated from the EEG. HA spikes (HAS) are identified by the determination of the beginning and end of existing spikes. HAS maxima and the time between two consecutive HAS are the basis for the triggering of the bursts. EEG power and time synchronized HR changes are averaged with a time window length of 20 s. Resultant, HR increase and duration are determined. These parameters, obtained by the automatic detection, proved to be comparable to the results of an expert.
Josef F Dax; Gernot R Müller-Putz; Klaus Pfurtscheller; Berndt Urlesberger; Wilhelm Müller; Gert Pfurtscheller
Publication Detail:
Type:  Comparative Study; English Abstract; Evaluation Studies; Journal Article; Validation Studies    
Journal Detail:
Title:  Biomedizinische Technik. Biomedical engineering     Volume:  50     ISSN:  0013-5585     ISO Abbreviation:  Biomed Tech (Berl)     Publication Date:    2005 Jan-Feb
Date Detail:
Created Date:  2005-03-28     Completed Date:  2005-04-28     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  1262533     Medline TA:  Biomed Tech (Berl)     Country:  Germany    
Other Details:
Languages:  ger     Pagination:  19-24     Citation Subset:  IM    
Institut für Maschinelles Sehen und Darstellen, BCI-Lab, Technische Universität Graz, Inffeldgasse 16a, 8010 Graz, Osterreich.
Vernacular Title:
Semiautomatisches Verfahren für die Untersuchung des synchronen Verhaltens von EEG--und Herzraten-Mustern bei Frühgeborenen.
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MeSH Terms
Artificial Intelligence*
Brain / physiology*
Diagnosis, Computer-Assisted / methods*
Electrocardiography / methods*
Electroencephalography / methods*
Heart Rate / physiology*
Pattern Recognition, Automated / methods
Reproducibility of Results
Sensitivity and Specificity

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

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