Supervised segmentation of microelectrode recording artifacts using power spectral density
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F15%3A10315820" target="_blank" >RIV/00216208:11110/15:10315820 - isvavai.cz</a>
Alternative codes found
RIV/00064165:_____/15:10315820
Result on the web
<a href="http://dx.doi.org/10.1109/EMBC.2015.7318661" target="_blank" >http://dx.doi.org/10.1109/EMBC.2015.7318661</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EMBC.2015.7318661" target="_blank" >10.1109/EMBC.2015.7318661</a>
Alternative languages
Result language
angličtina
Original language name
Supervised segmentation of microelectrode recording artifacts using power spectral density
Original language description
Appropriate detection of clean signal segments in extracellular microelectrode recordings (MER) is vital for maintaining high signal-to-noise ratio in MER studies. Existing alternatives to manual signal inspection are based on unsupervised change-point detection. We present a method of supervised MER artifact classification, based on power spectral density (PSD) and evaluate its performance on a database of 95 labelled MER signals. The proposed method yielded test-set accuracy of 90%, which was close tothe accuracy of annotation (94%). The unsupervised methods achieved accuracy of about 77% on both training and testing data
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
FH - Neurology, neuro-surgery, nuero-sciences
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA309%2F09%2F1145" target="_blank" >GA309/09/1145: Mechanisms of deep brain stimulation: Role of the subthalamus in motor, visual and affective processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISBN
978-1-4244-9270-1
ISSN
1557-170X
e-ISSN
—
Number of pages
4
Pages from-to
1524-1527
Publisher name
IEEE
Place of publication
New York
Event location
Milano
Event date
Aug 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000371717201200