According to the present invention, an implantable device is provided, comprising a substrate on which at least one surface portion is provided. The chemical composition of the surface portion selectively enhances the cell-adhesion to the substrate.

The present application provides a left and right brain recognition method and device, and relates to the field of wearable devices. The method comprises: in response to that a user listens to an audio content meeting a predetermined condition, acquiring first brain electrical information of a first hemisphere of the user; and recognizing that the first hemisphere is a left brain or a right brain according to the first brain electrical information and reference information. The method and the device provide a left and right brain recognition method, facilitate a device that the user wears to perform automatic setting according to a recognition result, and enhance user experience.

Methods and systems for generating a visualization of a surface of an internal body cavity, such as an internal organ like the bladder, are provided. The approach generally includes inserting an endoscope into an internal body cavity, acquiring a video of the tissue surfaces defining the internal body cavity, stitching video frames together to generate a panoramic map of the tissue surfaces defining the internal body cavity, and displaying the panoramic map.

An implantable electrode array is provided, the electrode array comprising a substrate, the substrate having a front side and a back side, and a first number of first electrodes. The first electrodes are formed as contact pads, and are arranged on the front side. The substrate comprises a second number of prefabricated holes at predetermined positions, the holes extending from the front side through the substrate towards the back side, and being arranged such the holes may be penetrated by elongated electrodes placed at the predetermined positions.

An evoked potential measuring apparatus includes: an evoked potential acquiring section which is configured to acquire a plurality of evoked potential waveforms from a subject in response to stimulation; an average processing section which is configured to arithmetically average the plurality of evoked potential waveforms to acquire an average waveform; a first statistical value calculator which, each time a waveform set including an N (N is 2 or more) number of evoked potential waveforms is acquired, is configured to calculate a first statistical value of the waveform set; and an updation processing section which is configured to update the average waveform to eliminate a waveform set in which the first statistical value exceeds a first threshold, from the arithmetic average.

A nerve impulse signal stimulation device and a method for fabricating the same are provided. The nerve impulse signal stimulation device includes: a substrate having a first surface and a second surface opposite to the first surface; a first metal layer formed on the first surface of the substrate; a second metal layer formed on the first metal layer; a plurality of openings exposing a portion of the first surface of the substrate, a portion of the first metal layer and a portion of the second metal layer; and a ferromagnetic material attached to the second surface of the substrate. The openings cause the nerve impulse signal stimulation device to obtain a parallel circuit structure, thereby increasing the current load and the magnetic field intensity, reducing the size of the device, and ensuring the safety of operations.

According to an aspect of the present inventive concept there is provided a method for determining a nociceptive withdrawal reflex threshold of a person, the method comprising: applying a plurality of stimulations to a person with different stimulation intensity levels in accordance with a stimulation intensity algorithm, wherein the plurality of stimulations comprises at least one stimulation having an intensity level provoking a spinal cord withdrawal reflex in the person, recording electromyographic data representative of muscle activity of the person in response to each stimulation of the plurality of stimulations, and processing the stimulation intensity levels and the electromyographic data according to a threshold calculation algorithm to calculate a measure of the nociceptive withdrawal reflex threshold of the person. There is also provided a corresponding system.

Methods for determining structural integrity of a bone within the spine of a patient, the bone having a first aspect and a second aspect, wherein the second aspect separated from the first aspect by a width and located adjacent to a spinal nerve. The methods involve (a) applying an electrical stimulus to the first aspect of the bone; (b) electrically monitoring a muscle myotome associated with the spinal nerve to detect if an onset neuro-muscular response occurs in response to the application of the electrical stimulus to the first aspect of the bone; (c) automatically increasing the magnitude of the electrical stimulus to until the onset neuro-muscular response is detected; and (d) communicating to a user via at least one of visual and audible information representing the magnitude of the electrical stimulus which caused the onset neuro-muscular response.

Techniques for automatically analyzing neural activity within a target neural region. In one example, electrical stimulation is applied to the target neural region at an initial current level that approximates a typical threshold-Neural Response Telemetry (NRT) level. An NRT measurement of neural activity within the target neural region in response to the stimulation is recorded. A machine-learned expert system, which is configured with a decision tree that includes at least two levels of nodes which consider parameters relating to the NRT measurement, respectively, is utilized to predict, based on one or more features of the neural activity, whether the NRT measurement includes a neural response or does not include a neural response.

Methods, implantable medical devices and systems configured to perform analysis of captured signals from implanted electrodes to identify cardiac arrhythmias. In an illustrative embodiment, signals captured from two or more sensing vectors are analyzed, where the signals are captured with a patient in at least first and second body positions. Analysis is performed to identify primary or default sensing vectors and/or templates for event detection.