Literature DB >> 2210789

TDAT--time domain analysis tool for EEG analysis.

S Park1, J C Principe, J R Smith, S A Reid.   

Abstract

An interactive design and analysis tool for displaying and quantifying multiple channels of data is presented. The system allows one to easily visualize multiple data channels and simultaneously observe the effects of filters on the data and to evaluate signal detection algorithms. The software is designed for a workstation environment; it will find application in a variety of applications where one needs to simultaneously visualize multiple data channels. TDAT is being used for the design and evaluation of filters and detection algorithms for electroencephalogram (EEG) waveforms, and it is serving as a prototype of a paperless system to be used by electroencephalographers. This paper describes the general software structure of the system and illustrates many of the system features with examples.

Mesh:

Year:  1990        PMID: 2210789     DOI: 10.1109/10.102796

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  2 in total

1.  Polysomnographic pattern recognition for automated classification of sleep-waking states in infants.

Authors:  P A Estévez; C M Held; C A Holzmann; C A Perez; J P Pérez; J Heiss; M Garrido; P Peirano
Journal:  Med Biol Eng Comput       Date:  2002-01       Impact factor: 2.602

2.  Expert-system classification of sleep/waking states in infants.

Authors:  C A Holzmann; C A Pérez; C M Held; M San Martín; F Pizarro; J P Pérez; M Garrido; P Peirano
Journal:  Med Biol Eng Comput       Date:  1999-07       Impact factor: 2.602

  2 in total

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