We have found that a set of support vector machines operating upon local field potentials sensed from an implanted DBS lead can identify the contact chosen by the physician for the patient's STN DBS therapy with 91% accuracy. The finding is based on a small data set and thus subject to change with further data collection and cross-validation. Nevertheless, the results suggest that an algorithm for selecting an effective contact for STN DBS based on the signals sensed from the DBS lead may be feasible.
|Original language||English (US)|
|Title of host publication||2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015|
|Publisher||IEEE Computer Society|
|Number of pages||4|
|State||Published - Jul 1 2015|
|Event||7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 - Montpellier, France|
Duration: Apr 22 2015 → Apr 24 2015
|Name||International IEEE/EMBS Conference on Neural Engineering, NER|
|Other||7th International IEEE/EMBS Conference on Neural Engineering, NER 2015|
|Period||4/22/15 → 4/24/15|
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© 2015 IEEE.