Methods for automatic detection of artifacts in microelectrode recordings-Reference-Cited by-同舟云学术

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Methods for automatic detection of artifacts in microelectrode recordings

Published:2017-10 Issue: Volume:290 Page:39-51
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Bakštein Eduard,Sieger Tomáš,Wild Jiří,Novák Daniel,Schneider Jakub,Vostatek Pavel,Urgošík Dušan,Jech Robert

Funder

Czech Science Foundation

Ministry of Education Youth and Sports

students’ grant agency of the CTU in Prague

Publisher

Elsevier BV

Subject

General Neuroscience

Reference30 articles.

1. An international survey of deep brain stimulation procedural steps;Abosch;Stereotac. Funct. Neurosurg.,2013

2. An automatic algorithm for stationary segmentation of extracellular microelectrode recordings;Aboy;Med. Biol. Eng. Comput.,2006

3. Supervised segmentation of microelectrode recording artifacts using power spectral density;Bakstein,2015

4. Chronic electrical stimulation of the ventralis intermedius nucleus of the thalamus as a treatment of movement disorders;Benabid;J. Neurosurg.,1996

5. Automatic subthalamic nucleus detection from microelectrode recordings based on noise level and neuronal activity;Cagnan;J. Neural Eng.,2011

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