Mining Terabytes of Submillimeter-resolution ECoG Datasets for Neurophysiologic Biomarkers

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Departmental Papers (BE)
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Biomedical Engineering and Bioengineering
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Recent research in brain-machine interfaces and devices to treat neurological disease indicate that important network activity exists at temporal and spatial scales beyond the resolution of existing implantable devices. We present innovations in both hardware and software that allow sampling and interpretation of data from brain networks from hundreds or thousands of sensors at submillimeter resolution. These innovations consist of novel flexible, active electrode arrays and unsupervised algorithms for detecting and classifying neurophysiologic biomarkers, specifically high frequency oscillations. We propose these innovations as the foundation for a new generation of closed loop diagnostic and therapeutic medical devices, and brain-machine interfaces.

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2010-09-01
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2023-05-17T05:34:04.000
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Suggested Citation: Viventi, J., J. Blanco and B. Litt (2010). "Mining terabytes of submillimeter-resolution ECoG datasets for neurophysiologic biomarkers." Proceedings of the 32nd Annual International Conference of the IEEE EMBS. Buenos Aires, Argentina. August 31 - September 4, 2010. ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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