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Related Experiment Video

Updated: Feb 27, 2026

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

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Published on: June 30, 2014

22.0K

SEMI-AUTOMATED ANNOTATION OF SIGNAL EVENTS IN CLINICAL EEG DATA.

S Yang1, S López1, M Golmohammadi1

  • 1Neural Engineering Data Consortium, Temple University, Philadelphia, Pennsylvania, USA, {scott.yang, silvia.lopez, meysam, obeid, picone}@temple.edu.

... IEEE Signal Processing in Medicine and Biology Symposium (SPMB). IEEE Signal Processing in Medicine and Biology Symposium
|June 27, 2017
PubMed
Summary

Active learning effectively annotates electroencephalogram (EEG) data, improving recognition by 2%. This automated approach offers a cost-effective alternative to manual annotation for healthcare applications.

Failed At:

2026-06-19T13:37:45.402641+00:00

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