We have developed a novel (patent pending) electric field measurement technology called Electric Field Encephalography (EFEG) for brain signal monitoring. NeuroFieldz technology is comprised of a system of high density array of sensors for measuring and analyzing the electric fields generated by the brain arising from intrinsic activity or external stimuli. The EFEG brain monitoring technique is a new modality that has several advantages over the current modalities, electroencephalography EEG (which measures the electric potential on the scalp) and magnetoencephalography MEG (which measures the magnetic field). Compared with MEG, EFEG has higher spatial resolution, is unaffected by stray magnetic fields, and does not require expensive bulky cryogenic equipment, thus making it field-deployable. Compared with EEG, EFEGTM is reference-less, has higher spatial resolution, leads to increased number of uncorrelated signals, and improves source reconstruction precision.  EFEG also provides dynamical information on millisecond time scales which is much faster than fMRI. The accurate source localization provided by EFEG will be of immense benefit in analyzing and localizing neurological signals (e.g. epileptic), as well as understanding the brains response to external stimuli

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Abstract | Tags: Sensors

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Abstract | Tags: Nanomedicine, Sensors

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Abstract | Tags: Sensors

Yavuzcetin, O; Perry, Nicholas R; Malley, Sean T; Dally, Rebecca L; Novikov, Herman P; Ozturk, Birol; Sridhar, Srinivas

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Abstract | Tags: Sensors

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Abstract | Tags: Sensors

Faegh, Samira; Jalili, Nader; Sridhar, Srinivas

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Abstract | Tags: Sensors

Yavuzcetin, Ozgur; Novikov, Herman P; Dally, Rebecca L; Malley, Sean T; Perry, Nicholas R; Ozturk, Birol; Sridhar, Srinivas

Photonic crystal fabrication in lithium niobate via pattern transfer through wet and dry etched chromium mask Journal Article

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Abstract | Tags: Sensors

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Large scale nanoelement assembly method for making nanoscale circuit interconnects and diodes Miscellaneous

2011, (US Patent App. 12/936,938).

Abstract | Tags: Sensors

Yavuzcetin, Ozgur; Ozturk, Birol; Xiao, Dong; Sridhar, Srinivas

Conicity and depth effects on the optical transmission of lithium niobate photonic crystals patterned by focused ion beam Journal Article

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Abstract | Tags: Sensors

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Abstract | Tags: Sensors

Sridhar, Srinivas

This event is cosponsored by the Central New England Chapter of the IEEE Lasers and Electro-Optics Society as part of the LEOS 30 th Anniversary Celebration Journal Article

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Abstract | Tags: Sensors

Selvarasah, S; Chao, SH; Chen, C-L; Mao, D; Hopwood, J; Ryley, S; Sridhar, S; Khademhosseini, A; Busnaina, A; Dokmeci, MR

A high aspect ratio, flexible, transparent and low-cost parylene-C shadow mask technology for micropatterning applications Proceedings Article

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Abstract | Tags: Sensors

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In: 2007 7th IEEE Conference on Nanotechnology (IEEE NANO), pp. 1062–1066, IEEE 2007.

Abstract | Tags: Sensors

Parikh, A; Yarbrough, W; Mason, M; Sridhar, S; Chidambaram, PR; Cai, Z

Characterization of structure and morphology of an advanced p-channel field effect transistor under uniaxial stress by synchrotron x-ray diffraction Journal Article

In: Applied physics letters, vol. 90, no. 17, pp. 172117, 2007.

Tags: Sensors

Sridhar, S; Giannakopoulos, AE; Suresh, S; Ramamurty, U

CONDENSED MATTER: Dielectric and Optical Properties (PACS 77-79)-Electrical response during indentation of piezoelectric materials: A new method for material characterization Journal Article

In: Journal of Applied Physics, vol. 85, no. 1, pp. 380–387, 1999.

Tags: Sensors

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Design and implementation of silicon-based optical nanostructures for integrated photonic circuit applications using Deep Reactive Ion Etching (DRIE) technique Journal Article

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Abstract | Tags: Sensors