Efficient application of Internet databases for new signal processing methods.
This paper highlights the ways in which Internet databases may be efficiently used to foster the application of progress in biomedical sciences via data sharing and new algorithms. Employing the Internet to accelerate the pace of interdisciplinary research has significant potential, yet as with all new technologies, the first applications often cause more disappointment than positive outcomes. We discuss examples of solutions to the basic issues: (1) finding the relevant datasets (in portals connected via the Inter-neuro infrastructure), (2) reading the particular format in which the data was stored (using the SignalML language for metadescription of time series), (3) choosing the right method for the data analysis (we provide a brief review of the methods used for the analysis of EEGs, and discuss two of them in detail: Directed Transfer Function and Matching Pursuit), and (4) sharing the software for chosen methods of analysis (via repositories such as the eeg.pl thematic portal).
Department of Biomedical Physics, Institute of Experimental Physics, Warsaw university, Poland. Katarzyna.Blinowska@fuw.edu.pl
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D000465:Algorithms; D003628:Database Management Systems; D016208:Databases, Factual; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface