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公开(公告)号:US11273310B2
公开(公告)日:2022-03-15
申请号:US16253430
申请日:2019-01-22
Applicant: General Electric Company , Albany Medical College
Inventor: Radhika Madhavan , Jeffrey Ashe , Suresh Joel , Ileana Hancu , Julie Pilitsis , Marisa DiMarzio
Abstract: A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.
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公开(公告)号:US20180199895A1
公开(公告)日:2018-07-19
申请号:US15406895
申请日:2017-01-16
Applicant: General Electric Company
Inventor: Eric William Fiveland , Ileana Hancu , Jeffrey Ashe
IPC: A61B5/00 , A61B5/04 , A61B5/055 , A61N1/36 , A61B5/0408
CPC classification number: A61B5/7285 , A61B5/0042 , A61B5/04004 , A61B5/04017 , A61B5/0408 , A61B5/0476 , A61B5/0478 , A61B5/0482 , A61B5/055 , A61B5/7203 , A61B5/7257 , A61B5/7435 , A61B6/037 , A61N1/0534 , A61N1/3605 , A61N1/3606 , G01R33/4806
Abstract: A system and method for analyzing bioelectrical signals generated during a deep brain stimulation (DBS) includes an apparatus having a housing having a signal input and a signal output and an electrical circuit disposed within the housing and electrically coupled between the signal input and the signal output. The electrical circuit is configured to receive bioelectrical signals corresponding to a cyclic excitation signal transmitted by a pulse generator during a DBS and generate an output signal comprising a series of timing pulses, wherein each timing pulse simulates an envelope of the cyclic excitation signal. The signal output of the housing is electrically coupleable to an auxiliary trigger input of an imaging system and the series of timing pulses can be used to trigger image data acquisition.
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公开(公告)号:US10905882B2
公开(公告)日:2021-02-02
申请号:US16253406
申请日:2019-01-22
Applicant: General Electric Company , University Health Network
Inventor: Radhika Madhavan , Alexandre Boutet , Suresh Joel , Ileana Hancu , Jeffrey Ashe , Andres M. Lozano
Abstract: A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.
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公开(公告)号:US10390766B2
公开(公告)日:2019-08-27
申请号:US15406907
申请日:2017-01-16
Applicant: General Electric Company
Inventor: Eric William Fiveland , Ileana Hancu , Jeffrey Ashe
Abstract: A system and method for predicting an excitation pattern of a deep brain stimulation (DBS) from monitored bioelectrical signals includes an apparatus having a housing having a signal input and a signal output and an electrical circuit disposed within the housing. The electrical circuit is electrically coupled between the signal input and the signal output and is configured to receive bioelectrical signals corresponding to an excitation signal transmitted by a pulse generator during a DBS. The electrical circuit is also configured to convert the bioelectrical signals into digital logic pulses, predict a future timing pattern of the excitation signal from the digital logic pulses, and generate an output from the future timing pattern, the output comprising a log of time stamps predictive of future active transmission periods of neurological excitation.
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公开(公告)号:US20180199892A1
公开(公告)日:2018-07-19
申请号:US15406907
申请日:2017-01-16
Applicant: General Electric Company
Inventor: Eric William Fiveland , Ileana Hancu , Jeffrey Ashe
CPC classification number: A61B5/7278 , A61B5/04017 , A61B5/0402 , A61B5/0408 , A61B5/055 , A61B5/7203 , A61B5/7285 , A61N1/0534 , A61N1/36125 , A61N1/37241
Abstract: A system and method for predicting an excitation pattern of a deep brain stimulation (DBS) from monitored bioelectrical signals includes an apparatus having a housing having a signal input and a signal output and an electrical circuit disposed within the housing. The electrical circuit is electrically coupled between the signal input and the signal output and is configured to receive bioelectrical signals corresponding to an excitation signal transmitted by a pulse generator during a DBS. The electrical circuit is also configured to convert the bioelectrical signals into digital logic pulses, predict a future timing pattern of the excitation signal from the digital logic pulses, and generate an output from the future timing pattern, the output comprising a log of time stamps predictive of future active transmission periods of neurological excitation.
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公开(公告)号:US20200230419A1
公开(公告)日:2020-07-23
申请号:US16253406
申请日:2019-01-22
Applicant: General Electric Company , University Health Network
Inventor: Radhika Madhavan , Alexandre Boutet , Suresh Joel , Ileana Hancu , Jeffrey Ashe , Andres M. Lozano
Abstract: A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.
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公开(公告)号:US10543361B2
公开(公告)日:2020-01-28
申请号:US15899594
申请日:2018-02-20
Applicant: General Electric Company
Inventor: Sathish Ramani , Rolf Schulte , Ileana Hancu , Jeffrey Ashe , Graeme C. McKinnon
Abstract: A system and method for localizing a deep brain stimulation electrode in vivo in a subject or object is provided. A magnetic resonance imaging system obtains MR image data from a volume-of-interest by way of a zero echo time (ZTE) or ultrashort echo time (UTE) pulse sequence, with one or more of a phase domain image and a magnitude domain image being analyzed from the MR image data acquired by the ZTE or UTE pulse sequence. One or more electrodes are localized within the volume-of-interest based on an analysis of the phase domain image and/or magnitude domain image. In localizing the electrodes, a multi-scale correlation-based analysis of the volume-of-interest is performed to estimate at least one of an electrode center and electrode contact locations of the electrode, with the localization being achieved with a fast scan-time and with a high level of accuracy and precision.
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公开(公告)号:US11551796B2
公开(公告)日:2023-01-10
申请号:US16456708
申请日:2019-06-28
Applicant: General Electric Company
Inventor: Christopher Puleo , Benjamin Beckmann , Victor Abate , John Freer , David Vernooy , Jeffrey Ashe
Abstract: Systems and methods for management of a distributed ledger including prescription information are disclosed. An example apparatus includes a processor and a logical data structure to configure a device according to an electronic prescription defining an action for a patient, the electronic prescription organized as record(s) in a distributed ledger and processible by the device to apply the action to the patient. The electronic prescription is to cause the device to at least: configure the device to apply the action to the patient; validate the action for the patient using the distributed ledger; and propagate a record of the action to the distributed ledger.
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公开(公告)号:US20200230414A1
公开(公告)日:2020-07-23
申请号:US16253430
申请日:2019-01-22
Applicant: General Electric Company , Albany Medical College
Inventor: Radhika Madhavan , Jeffrey Ashe , Suresh Joel , Ileana Hancu , Julie Pilitsis , Marisa DiMarzio
Abstract: A system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.
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公开(公告)号:US20200054228A1
公开(公告)日:2020-02-20
申请号:US16345974
申请日:2017-10-31
Applicant: General Electric Company
Inventor: Christopher Michael Puleo , Victoria Cotero , Ying Fan , Tzu-Jen Kao , David Mills , Jeffrey Ashe , Sireesha KAANUMALLE , Kirk Dennis WALLACE , Kenneth Wayne RIGBY , Ileana HANCU , James ROTHMAN
Abstract: The subject matter of the present disclosure generally relates to techniques for neuromodulation of a tissue that include applying energy (e.g., ultrasound energy) into the tissue to cause altered activity at a synapse between a neuron and a non-neuronal cell.
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