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Automatic subthalamic nucleus detection from microelectrode recordings based on noise level and neuronal activity.

Abstract:

Microelectrode recording (MER) along surgical trajectories is commonly applied for refinement of the target location during deep brain stimulation (DBS) surgery. In this study, we utilize automatically detected MER features in order to locate the subthalamic nucleus (STN) employing an unsupervised algorithm. The automated algorithm makes use of background noise level, compound firing rate and power spectral density along the trajectory and applies a threshold-based method to detect the dorsal...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience, Molecular Medicine
Contarino, MF More by this author
Schuurman, R More by this author
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Journal:
Journal of neural engineering
Volume:
8
Issue:
4
Pages:
046006
Publication date:
2011-08-05
DOI:
EISSN:
1741-2552
ISSN:
1741-2560
URN:
uuid:42327028-10eb-4c60-93f8-f2ae4e6d6d32
Source identifiers:
267897
Local pid:
pubs:267897

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