- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1088/1741-2560/8/4/046006
-
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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
- Copyright date:
- 2011
Journal article
Automatic subthalamic nucleus detection from microelectrode recordings based on noise level and neuronal activity.
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