Title :
TDAT-time domain analysis tool for EEG analysis
Author :
Park, Seunghun ; Principe, Jose C. ; Smith, Jack R. ; Reid, Steven A.
Author_Institution :
Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA
Abstract :
An interactive design and analysis tool for displaying and quantifying multiple channels of data is presented. The system allows one to visualize multiple data channels easily while simultaneously observing 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 visualize multiple data channels simultaneously. This time-domain analysis tool (TDAT) is used for the design and evaluation of filters and detection algorithms for electroencephalogram (EEG) waveforms, and serves as a prototype of a paperless system to be used by electroencephalographers. The general software structure of the system is described, and many of the system´s features are illustrated.
Keywords :
computerised signal processing; electroencephalography; interactive systems; medical diagnostic computing; time-domain analysis; waveform analysis; EEG analysis; effects of filters; interactive design and analysis tool; multiple channels of data; paperless system; signal detection algorithms; software structure; time domain analysis tool; workstation environment; Algorithm design and analysis; Application software; Data visualization; Detection algorithms; Electroencephalography; Filters; Signal detection; Software design; Time domain analysis; Workstations; Algorithms; Computer Systems; Electroencephalography; Humans; Signal Processing, Computer-Assisted; Software; Software Design; Time Factors; User-Computer Interface;
Journal_Title :
Biomedical Engineering, IEEE Transactions on