Spectrogram-based assessment of small SNR variations, with application to medical electrodes

Spectrogram-based assessment of small SNR variations, with application to medical electrodes

Abstract In this paper, the problem of detection of small signal-to-noise ratio (SNR) variations in noisy signals is addressed in order to provide an efficient and fast method for detection of faulty electroencephalogram (EEG) electrodes which can improve the interpretation of medical data. The meth...

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Bibliographic Details
Main Authors: Zeljka Milanović, Nicoletta Saulig, Ivan Marasović, Damir Seršić
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
EEG
Failure detection
Entropy
Corkscrew electrodes failure
Time-frequency distributions
K-means
Online Access:http://link.springer.com/article/10.1186/s13634-019-0634-4

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