University of Georgia Research Foundation, Inc.

The Brigham and Women's Hosptial, Inc.

Tsz Ho Tse

Kyle Johnsen

Brian L Boland

Zhuo Zhao

Donald Leo

Ehud J Schmidt

Rui Li

Don Leo

Julian Malik Moore

Wei Wang

Sahil Patel

HuaLei Zhang

Disclosed herein are wirelessly powered tissue ablation devices comprising an alternating magnetic field generator; an ablation probe comprising an ablation tip; a catheter comprising an opening at a tissue insertion end and a lumen extending along a length of the catheter to the catheter opening; and a magnetic field receiving coil configured to be electrically coupled to the ablation probe; wherein at least a portion of the ablation probe is positionable within the lumen of the catheter, and wherein the ablation tip protrudes through the opening of the catheter. Also disclosed are methods of using wirelessly powered tissue ablation devices.

Wirelessly powered tissue ablation device

Various examples of a system for peanut sorting and grading are disclosed herein. The system for grading peanut maturity, can include: a sample feeder configured to supply individual peanuts to an imaging area; a sorting board comprising a plurality of chutes and a plurality of gates, each chute of the plurality of chutes designated for a grade of peanut; and program instructions to obtain the digital image of the individual peanut; determine the grade of the individual peanut; and sort the individual peanut based on the grade of the individual peanut. A method for grading peanut maturity, can include feeding an individual peanut to an imaging area; obtaining a digital image of the individual peanut; determining a grade of the individual peanut based on an average color; and sorting the individual peanut in a chute of a sorting board based on the grade of the individual peanut.

Systems and methods for peanut sorting and grading

The present disclosure provides peanut maturity grading systems and methods for quickly, efficiently, and objectively determining a peanut maturity grade for a crop of peanuts and determining an optimal harvest time for the crop. Embodiments of systems and methods of the present disclosure can be performed in the field or field-side and do not require assistance of a trained peanut grading specialist.

Peanut maturity grading systems and methods

Systems and methods for estimating time-dependent voltages that are induced in electrophysiological monitoring systems by magnetic field gradients generated during a magnetic resonance imaging ('MRI') scan are provided. The gradient-induced voltages are subsequently removed from signals acquired with the electrophysiological monitoring system during an MRI scan. As an example, the electrophysiological monitoring system can include an electrocardiography ('ECG') system, an electroencephalography (&#x201c;EEG&#x201d;) system, an electromyography (&#x201c;EMG&#x201d;) system, a voltage device tracking (&#x201c;VDT&#x201d;) system, and so on. The gradient-induced voltages are estimated using a two-step procedure in which a learning algorithm is used to determine fitting parameters to be used in a model of the gradient-induced voltages. The fitting parameters are then used together with the model to extract the gradient-induced voltages from signals acquired during an MRI scan. The gradient-induced voltages can then be removed from the acquired signals.

Systems and methods for estimating and removing magnetic resonance imaging gradient field-induced voltages from electrophysiology signals

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Lawrenceville, GA, United States of America

Tsz Ho Tse