Advanced Neuromodulation Systems, Inc.

Erika Ross

Hyun-Joo Park

Simeng Zhang

Yagna Pathak

Anahita Kyani

Douglas Alfred Lautner

Binesh Balasingh

Mary Khun Hor-Lao

Dehan Zhu

Scott DeBates

Ameya Nanivadekar

David Page

Diane Whitmer

Filippo Agnesi

Scott Debates

Kyuwan Choi

Doug Lautner

Jagatkumar V Shah

Ali Taheri

The present disclosure is directed to providing digital health services. In some embodiments, systems and methods for conducting virtual or remote sessions between patients and clinicians are disclosed. During the sessions, media content (e.g., images, video content, audio content, etc.) may be captured as the patient performs one or more tasks. The media content may be presented to the clinician and used to evaluate a condition of the patient or a state of the condition, adjust treatment parameters, provide therapy, or other operations to treat the patient. The analysis of the media content may be aided by one or more machine learning/artificial intelligence models that analyze various aspects of the media content, augment the media content, or other functionality to aid in the treatment of the patient.

Systems and methods for providing digital health services

A noninvasive/minimally invasive neuromodulation system and method for providing therapy to a target neural tissue of a patient. In one arrangement, an example method comprises applying at least two input waveforms to respective pairs of electrodes affixed on the patient's skin or subcutaneously disposed relative to the target neural tissue, wherein the frequencies of the input waveforms are configured such that they combine, when simultaneously applied, to generate a beat waveform having a beat frequency due to interference. The beat waveform is causative of a transcutaneous/subcutaneous temporal interference (T/STI) electric field generated in the patient body, the T/STI electric field including an interference region at least partially overlapping the target neural tissue of the patient, wherein the beat frequency is of a value operative to impart a therapeutic effect to the target neural tissue.

System and method for providing transcutaneous or subcutaneous temporal interference spinal cord stimulation

Systems and methods which provide for and enable sensing responsive signals with respect to the application of paresthesia-free stimulation are described. Sensing signal initiators may be utilized comprising one or more non-therapeutic and/or non-tonic pulses in the form of pinging-pulses configured for invoking responsive signals suitable for measurement and/or analysis in association with the application of neural stimuli. A sensing signal initiator technique may provide an interleaved implementation to introduce one or more pinging-pulses between burst groups of a burst stimulation regimen. Additionally or alternatively, a sensing signal initiator technique may provide a postfixed implementation to introduce one or more pinging-pulses by modifying a therapeutic stimulation burst so that the last phase of the passive discharge is replaced with pinging-pulse providing an active discharge.

System and methods facilitating sensing responsive signals in association with paresthesia-free stimulation

The present disclosure provides systems and methods for generating burst waveforms. An implantable neurostimulation system includes an implantable stimulation lead including a plurality of contacts, and an implantable pulse generator communicatively coupled to the stimulation lead. The pulse generator is configured to generate a waveform including a burst that includes a leading anodic pulse followed by alternating cathodic pulses and anodic pulses, each cathodic pulse in the burst having a greater amplitude than the previous cathodic pulse.

Systems and methods for burst waveforms with anodic-leading pulses

Provided herein is a computing system for optimizing a waveform, in communication with an implantable pulse generator, and including a computing device including a memory device and a processor communicatively coupled to the memory device. The processor is configured to: retrieve historical waveform data associated with a plurality of waveforms used in therapeutic sessions for a plurality of patients, the historical waveform data including a plurality of waveform parameters; analyzing the historical waveform data to determine preferred waveform parameters; determining that a patient is starting a new therapeutic session using the patient therapeutic device; displaying each of the preferred waveform parameters; prompting the user to accept or modify the displayed waveform parameters; optimizing the waveform parameters for the therapeutic session; and transmitting the optimized waveform parameters to the patient therapeutic device to start the therapeutic session.

Systems and methods for optimized waveform generation

The present disclosure provides systems and methods for generating pulsed waveforms that approximate colored noise for use in a neurostimulation system. An implantable neurostimulation system includes an implantable stimulation lead including a plurality of contacts, and an implantable pulse generator communicatively coupled to the stimulation lead. The pulse generator is configured to generate a pulsed waveform that approximates colored noise using at least one of a thresholding method and an optimization method, and cause stimulation to be delivered by the stimulation lead based on the pulsed waveform.

Systems and methods for generating pulsed waveforms that approximate colored noise

A system and method for facilitating DBS electrode trajectory planning using a machine learning (ML)-based feature identification scheme configured to identify and distinguish between various regions of interest (ROIs) and regions of avoidance (ROAs) in a patient's brain scan image. In one arrangement, standard orientation image slices as well as re-sliced images in non-standard orientations are provided in a labeled input dataset for training a CNN/ANN for distinguishing between ROIs and ROAs. Upon identification of the ROIs and ROAs in the patient's brain scan image, an optimal trajectory for implanting a DBS lead may be determined relative to a particular ROI while avoiding any ROAs.

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Dallas, TX, United States of America

Erika Ross