DocumentCode
2168710
Title
Performance measures for ERP signal extraction methods
Author
Tajwar, Samina ; Mason, Steven G. ; Birch, Gary E.
Author_Institution
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
fYear
1993
fDate
14-17 Sep 1993
Firstpage
1097
Abstract
A critical problem encountered in evaluating methods that extract event-related potentials (ERPs) from single-trial electroencephalograph (EEG) signals is the inadequacy of available performance measures. Here the authors analyzed two standard performance measures, Normalized Mean Squared Error and correlation, and a lesser used measure, dynamic time warping (DTW), and explored the conditions under which they provide misleading results. The authors´ experience to date leads them to recommend the use of a combination of a shift-tolerant, correlation-based measure, such as DTW, and a robust Normalized Mean Square Error measure
Keywords
bioelectric potentials; electroencephalography; medical signal processing; ERP signal extraction methods; dynamic time warping; normalized mean squared error; performance measures; shift-tolerant correlation-based measure; single-trial electroencephalograph signals; Costs; Data mining; Electroencephalography; Energy measurement; Enterprise resource planning; Measurement standards; Robustness; Shape measurement; Signal analysis; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1993. Canadian Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2416-1
Type
conf
DOI
10.1109/CCECE.1993.332266
Filename
332266
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