Techniques are disclosed for using probabilistic entropy to select electrodes with fewer artifacts for controlling adaptive electrical neurostimulation. In one example, a plurality of electrodes sense bioelectrical signals of a brain of a patient. Processing circuitry determines, for each bioelectrical signal sensed at a respective electrode of the plurality of electrodes, a probabilistic entropy value of the bioelectrical signal. The processing circuitry compares each of the respective probabilistic entropy values of the bioelectrical signal to respective entropy threshold values and selects, based on the comparisons, a subset of electrodes of the plurality of electrodes. The processing circuitry controls, based on the bioelectrical signals sensed via respective electrodes of the subset of electrodes and excluding the bioelectrical signals of the plurality of bioelectrical signals sensed via respective electrodes not in the subset of electrodes, delivery of electrical stimulation therapy to the patient.

The present method and system provides for the clinical application of neurostimulation and/or neuromodulation to a patient. The method and system includes receipt and acquisition of patient data, processing of that data relative to one or more known data sets, and determination of a good-fit trigger specific treatment protocol. The method and system provides for application of the protocol to the patient, including delivery of neuromodulation and biofeedback. Based thereon, the method and system re-iterates the goodness of fit determination for further treatment to the patient.

The present disclosure relates to communication devices. Such devices may comprise input for receiving sound signal to be processed and presented to a user, and output for outputting the processed signal to a user perceivable as sound. Such processing may be performed by use of a processor for processing the sound signal in dependence of a setting or a set of setting to compensate a hearing loss profile. Further, the communication device may comprise a bio-signal acquisition and amplifier component in communication with a user interface for providing the bio-signals as input to the user interface, the user interface controlling the setting or set of setting for operation of the communication device.

An electroencephalogram measurement system includes an acquisition unit, a decision unit, and an output unit. The acquisition unit acquires electroencephalogram information representing an electroencephalogram obtained by an electrode unit placed on a region of interest that forms part of a subject's head. The decision unit makes a decision, based on the electroencephalogram information acquired by the acquisition unit, whether or not there are any artifacts. The output unit outputs the decision made by the decision unit.

The present disclosure relates to a novel epidermal paper-based electronic devices (EPEDs), and the methods of making and using the epidermal paper-based electronic devices. The epidermal paper-based electronic devices comprise an electrically conductive layer; and a paper layer with a first hydrophilic side and a second omniphobic side, wherein the electrically conductive layer is attached to the first hydrophilic side of the paper layer.

Methods, systems, and computer programs encoded on a computer storage medium, for improving EEG measurements by identifying artifacts present in EEG measurements and providing a real-time indication to a user of likely artifacts in EEG measurements are described. EEG measurements of a patient can be obtained by placing a wearable device or EEG cap on a patient's head. Sensors in the cap provide EEG data to a computing device that processes the data to identify one or more artifacts in the EEG data. The artifacts can be identified by conducting one or more operations of determining the signal to noise ratio of the line noise, calculating mutual information between sensor pairs, and applying the p-welch method. Based on the types of artifacts identified, the computing device can output an indicator that provides feedback to the technician performing an EEG test to make adjustments to the test setup.

A system for detecting bioelectrical signals of a user comprising: a set of sensors configured to detect bioelectrical signals from the user, each sensor in the set of sensors configured to provide non-polarizable contact at the body of the user; an electronics subsystem comprising a power module configured to distribute power to the system and a signal processing module configured to receive signals from the set of sensors; a set of sensor interfaces coupling the set of sensors to the electronics subsystem and configured to facilitate noise isolation within the system; and a housing coupled to the electronics subsystem, wherein the housing facilitates coupling of the system to a head region of the user.

An optrode may provide a cylindrical substrate with two or more electrodes deposited on said cylindrical substrate. The cylindrical substrate and electrodes may be coated by an insulating layer with openings or vias over certain portions of the electrodes that may provide a contact for the neural probe or may be utilized to connect lead lines. Manufacturing of an optrode may utilize a jig that secures a cylindrical substrate coated by a conductive material and a resist. A first mask may be positioned in an opening provided by the jig, and the cylindrical substrate may expose ions or neutral particles to define one or more electrode patterns. After regions of the resist and conductive material are removed to form the electrodes, a second mask may be utilized to define via regions in which portions of the electrodes are exposed and uncoated by an insulating layer.

Provided are methods to measure and or monitor consciousness in a subject, including analyzing brain activity with weighted symbolic mutual information (wSMI) and/or Kolgomorov symbolic complexity (KSC). In addition, methods and apparatus to administer a stimulus and/or a medicament to a subject according to their consciousness level which has been determined using the method described herein are also provided.

A bioelectrode includes a fitting member (1106) formed by an electrically insulating member fixed on a surface of a garment (1100) that comes in contact with a living body (1000), an electrode part (1101a) formed by a conductive member fixed on a surface of the fitting member (1106) that comes in contact with the living body (1000), a connector (1102a) fixed to the fitting member (1106) and configured to connect a bioelectric signal measurement device, a wiring line (1103a) fixed to the fitting member (1106) and configured to electrically connect the connector (1102a) and the electrode part (1101a), and an electrically-insulating insulating member (1105) configured to cover a portion within the surface of the wiring line (1103a) that comes in contact with the living body (1000).