Automatic feature group combination selection method based on GA for the functional regions clustering in DBS.
Identifieur interne : 000289 ( Main/Exploration ); précédent : 000288; suivant : 000290Automatic feature group combination selection method based on GA for the functional regions clustering in DBS.
Auteurs : Lei Cao [République populaire de Chine] ; Jie Li [République populaire de Chine] ; Yuanyuan Zhou [République populaire de Chine] ; Yunhui Liu [République populaire de Chine] ; Hao Liu [République populaire de Chine]Source :
- Computer methods and programs in biomedicine [ 1872-7565 ] ; 2020.
Abstract
The functional regions clustering through microelectrode recording (MER) is a critical step in deep brain stimulation (DBS) surgery. The localization of the optimal target highly relies on the neurosurgeon's empirical assessment of the neurophysiological signal. This work presents an unsupervised clustering algorithm to get the optimal cluster result of the functional regions along the electrode trajectory.
DOI: 10.1016/j.cmpb.2019.105091
PubMed: 31590098
Affiliations:
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Electronic address: liuhao@sia.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning, China; Key Laboratory of Minimally Invasive Surgical Robot, Liaoning Province, Shenyang, Liaoning</wicri:regionArea><wicri:noRegion>Liaoning</wicri:noRegion></affiliation></author></analytic><series><title level="j">Computer methods and programs in biomedicine</title><idno type="eISSN">1872-7565</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The functional regions clustering through microelectrode recording (MER) is a critical step in deep brain stimulation (DBS) surgery. The localization of the optimal target highly relies on the neurosurgeon's empirical assessment of the neurophysiological signal. This work presents an unsupervised clustering algorithm to get the optimal cluster result of the functional regions along the electrode trajectory.</div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country><settlement><li>Pékin</li></settlement></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Cao, Lei" sort="Cao, Lei" uniqKey="Cao L" first="Lei" last="Cao">Lei Cao</name></noRegion><name sortKey="Li, Jie" sort="Li, Jie" uniqKey="Li J" first="Jie" last="Li">Jie Li</name><name sortKey="Liu, Hao" sort="Liu, Hao" uniqKey="Liu H" first="Hao" last="Liu">Hao Liu</name><name sortKey="Liu, Yunhui" sort="Liu, Yunhui" uniqKey="Liu Y" first="Yunhui" last="Liu">Yunhui Liu</name><name sortKey="Zhou, Yuanyuan" sort="Zhou, Yuanyuan" uniqKey="Zhou Y" first="Yuanyuan" last="Zhou">Yuanyuan Zhou</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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