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Irish Child Health Database - Peer Reviewed Papers

Database Search

How to use this database.

• Method 1- uses a free natural language approach.

  After choosing the object of the search – by ticking title, abstract, aims and objective, or author - enter a term, word or name in the ‘Search’ box to return references answering your research question.

• Method 2 - utilises key words.

  Those key words assigned from thesauruses of controlled vocabulary by the trained coders of international bibliographic databases.
  The controlled vocabularies key word are listed alphanumerically under 'Bibliographic database keywords' .
  Use the drop down menu to identity which 'key words' you are interested in to return references to answer your research question.

• Method 3 - is based on the indexing system

  developed by the researchers who compiled this database.
  It adopts a thematic approach to mapping Irish child health research. The themed areas represent outcomes mapped to the International Classification of Disease version 10 (ICD-10) or one of 23 other health-related themed outcomes. Themes are defined in Tables 5 to 7 (of the study report).
  Use the alphabetic drop down menu under ‘ICD-10 or themed health-related outcomes’ to identity which themed areas you are interested in to select references to answer your research question.

• Method 4 – allows papers to be searched by Study type.

  Indexing by study type offers a valuable insight into understanding the population impact of the topic of interest. More than 20 study types were identified across the 2,152 study papers. These are defined in Table 3 (of the study report). Within 'Study type' papers are further stratification by geographical region (Table 49), topic area of interest and study aims and objectives.
  Click on 'Study type' to select the type of study of interest, progressively select sub-categories by topic area or other sub-classification of interest to answer your research question.

The complete background, methods and findings from this mapping exercise are detailed in the study report.

Artificial Intelligence

Your search returns 1 documents

• 1.   Electrocardiogram based neonatal seizure detection

  The aim of this study was to examine a method for the detection of seizures in the newborn using the electrocardiogram signal

  

  Abstract:

  A method for the detection of seizures in the newborn using the electrocardiogram (ECG) signal is presented. Using a database of eight recordings, a method was developed for automatically annotating each 1-min epoch as "nonseizure" or "seizure". The system uses a linear discriminant classifier to process 41 heartbeat timing interval features. Performance assessment more...

  International Classification:

  Neonatal seizures

  Categories:

  seizures in the newborn

  Geography:

  Republic of Ireland and the United Kingdom

  IEEE Trans Biomed Eng, Vol: 54 Page: 673-82 April 2007
  B. R. Greene; P. de Chazal; G. B. Boylan; S. Connolly; R. B. Reilly

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