The present invention relates generally to an algorithm aimed at neurophysiology monitoring, and more particularly to an algorithm capable of quickly finding stimulation thresholds over multiple channels of a neurophysiology monitoring system.

The neural health or state of a subject is assessed. A recording is obtained of a compound action potential arising in neural tissue of the subject. The recording is processed to determine whether a profile of the recorded compound action potential is anomalous, such as by exhibiting doublets, peak broadening or deformation, or other anomaly. An indication is output regarding the neural state of the subject based on determined anomalies in the recorded compound action potential.

Described herein are methods and systems for using EEG recordings to improve vagus nerve stimulation (VNS) therapy. In particular, described herein are methods and systems for using EEG recordings to detect P300 and/or activation of the nucleus basalis and/or the locus coeruleus to determine the efficacy of VNS. The EEG recordings can be used to provide feedback control to help optimize stimulation parameters and to screen for patients that respond well to VNS therapy.

A medical diagnostic apparatus includes a controller; a user interface; a platform having a horizontal surface; and at least one visible light image sensor positioned below the horizontal surface that is capable of producing a diagnostic visible light image of a bottom portion of a foot or feet positioned on the horizontal surface. At least a portion of the horizontal surface is transparent to visible light. The apparatus may further include at least one infrared image sensor positioned below the horizontal surface that is capable of producing a thermal image of the first target area. The apparatus may further include sensors positioned above the platform capable of producing diagnostic visible light images or thermal images of a top portion of the user's foot or feet. The apparatus may further include a weight measurement system coupled to the platform.

A probe insertion device for a neural probe structure with a plurality of probes to simultaneously insert the plurality of probes into a nerve includes a nerve holder to fix the nerve surrounding an outer circumference of the nerve, and a probe holder positioned outside in a radial direction of the nerve holder to fixedly support the probes surrounding a circumference of the nerve holder. The probe holder includes a plurality of sections (“probe holder sections”) arranged radially with respect to the nerve holder and moveable in a radial direction of the nerve holder, and the plurality of probe holder sections simultaneously moves the plurality of probes toward the nerve holder having fixed the nerve, so that the plurality of probes is simultaneously inserted into the nerve in a radial shape when viewed in a lengthwise direction of the nerve.

Example systems and techniques for denervation, for example, renal denervation. In some examples, a processor determines one or more tissue characteristics of tissue proximate a target nerve and a blood vessel. The processor may generate, based on the one or more tissue characteristics, an estimated volume of influence of denervation therapy delivered by a therapy delivery device disposed within the blood vessel. The processor may generate a graphical user interface including a graphical representation of the tissue proximate the target nerve and the blood vessel and a graphical representation of the estimated volume of influence.

A myelin image is generated with a stable contrast regardless of an imaging condition with an MRI apparatus that measures an echo signal generated from a subject by applying a high-frequency magnetic field and a gradient magnetic field to the subject placed in a static magnetic field according to a predetermined imaging sequence. A reconstructed image is obtained from the echo signal. A distribution of a quantitative value of the subject is estimated using a plurality of the reconstructed images, each of which is obtained by a plurality of types of imaging having different imaging conditions of the imaging sequence, and a signal function defining a relationship between the quantitative value of the subject and a signal value of the reconstructed image. An image generation unit generates an arbitrary image from the distribution of the quantitative value.

A training simulator for intraoperative neuromonitoring (IONM) systems includes channels where at least one of the channels is identified as an active stimulation channel and a subset of the rest of the channels is identified as reference or pick up sites. Channels of the subset having signal data that exceed a predefined threshold are retained for further processing, while channels with signal data that do not exceed the threshold are eliminated from further reporting. Response data for the remaining channels are generated in advance of a future time when the response would occur. The generated data is time stamped and stored for display at a time window when requested by the system.

A monitoring system may include a processor and display system for displaying results from the monitoring. A user may be in a sterile field away from the processor and display system and selected input devices. A controller may be physically connected to the monitoring system from the sterile field to allow the user to control the monitoring system.

An implantable device for controlling electrical conditions of body tissue. A feedback sense electrode and a compensation electrode are positioned proximal to the tissue to make electrical contact with the tissue. A feedback amplifier is referenced to ground, and takes as an input a feedback signal from the feedback sense electrode. The output of the feedback amplifier is connected to the compensation electrode. The feedback amplifier thus drives the neural tissue via the compensation electrode in a feedback arrangement which seeks to drive the feedback signal to ground, or other desired electrical value.