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.

Abstract: System and associated methods of use for rapid assessment of visual field integrity. In one embodiment, the device comprises a frame that rests near a patient’s eyes with pinpoint lights or mechanical stimuli that act as visual stimuli mounted at locations within the frame and in the patient’s peripheral visual field. A vantage point in front of the frame allows an operator to view the patient’s eyes during assessment, enabling the operator to maximize the accuracy during both in person and telemedicine assessments. The lights or mechanical stimuli are positioned such that they are visible to patients with a wide range of interpupillary distances, enabling the use of a single-size device for all patients.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Abstract: A physiological parameter monitoring system and method is described. The system includes a plurality of sensors configured to obtain from a subject at least one observable voltage containing two or more signals. The system also includes a data manager and a data auxiliary device. The data manager is in communication with the plurality of sensors and is configured to assemble and format data obtained by the plurality of sensors. The data manager is configured to isolate one of the two or more signals. The method includes placing a plurality of sensors in communication with a subject, transmitting data from the plurality of sensors to a data manager, and isolating a desired voltage signal from the plurality of voltage signals.

Abstract: A method for enhancing pace pulses is presented. The method includes providing a set of digital electrocardiogram data comprising a plurality of pulses, wherein each pulse is of a generally constant width. Furthermore, the method includes differentiating the plurality of pulses to generate a plurality of pairs of differentiated pulses, wherein each pair of differentiated pulses is separated by the generally constant width of the corresponding pulse. In addition, the method includes enhancing the plurality of pairs of differentiated pulses. Systems and computer-readable medium that afford functionality of the type defined by this method are also provided by the present technique.

Abstract: The present technique provides for the detection of pace pulses in electrocardiogram data. The technique provides for processing one or more sets of electrocardiogram data via a non-linear algorithm. Furthermore, the technique provides for detecting one or more pace pulses in the one or more sets of electrocardiogram data via a non-linear detection algorithm. Systems and computer programs that afford functionality of the type defined by this method are also provided by the present technique.