The technology involves scaffold structures used for in-ear sensor systems. Such systems that can perform biometric signal detection or act as a human-computer interface. Scaffolding arrangements minimize the amount of material placed in the ear while providing a secure fitting device that can be worn for hours, days or longer in order to provide maximal benefit to the wearer. The scaffolding includes a “C”-shaped arcuate curvature for at least part of the housing. This configuration can act as a natural leaf spring to help maintain the housing in contact with different points along the ear. Sensors are located along various points of the scaffolding for use in different diagnostic situations. Different components of an on-board sensor input and processing system can be distributed along different parts of the scaffolding. Such structures beneficially minimize ambient sound occlusion and avoid the need of an exterior strap or clip worn around the ear.

A method or system for generating a clinical effects map for electrical stimulation includes receiving stimulation parameters and at least one clinical response for each of a plurality of stimulation instances; for each of the stimulation instances, determining a radius of a stimulation field according to the stimulation parameters for the stimulation instance; generating the clinical effects map using the at least one clinical response and the stimulation parameters for each of the stimulation instances, wherein, for each of the stimulation instances, the at least one clinical response for the stimulation instance is assigned to the radius of the stimulation field determined for the stimulation instance; and displaying the clinical effects map.

A method or system for generating a clinical effects map for electrical stimulation includes receiving stimulation parameters and at least one clinical response for each of a plurality of stimulation instances; for each of the stimulation instances, determining a radius of a stimulation field according to the stimulation parameters for the stimulation instance; generating the clinical effects map using the at least one clinical response and the stimulation parameters for each of the stimulation instances, wherein, for each of the stimulation instances, the at least one clinical response for the stimulation instance is assigned to the radius of the stimulation field determined for the stimulation instance; and displaying the clinical effects map.

Methods and devices for computationally constructing brain potentials across whole brain using electrocorticography signals recorded from a small region on the brain surface are disclosed. In some embodiments of the disclosed technology, a method includes obtaining a plurality of locally recorded surface potentials from a plurality of first cortical areas of a brain surface; and performing a virtual reconstruction of an average brain activity for individual cortical areas and a pixel-level cortex-wide brain activity for a plurality of cortical areas of the brain surface including the plurality of first cortical areas based on the plurality of locally recorded surface potentials.

Methods and devices for computationally constructing brain potentials across whole brain using electrocorticography signals recorded from a small region on the brain surface are disclosed. In some embodiments of the disclosed technology, a method includes obtaining a plurality of locally recorded surface potentials from a plurality of first cortical areas of a brain surface; and performing a virtual reconstruction of an average brain activity for individual cortical areas and a pixel-level cortex-wide brain activity for a plurality of cortical areas of the brain surface including the plurality of first cortical areas based on the plurality of locally recorded surface potentials.

One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.

Neural signals of a subject intending certain postures can be decoded and a controllable device can be commanded to perform certain actions based on the decoded intended postures with a system, and method of use thereof, including a brain machine interface (BMI) device. The system also includes electrodes in communication with the subject's nervous system to record the neural signals and the controllable device, both in communication with the BMI device. The BMI device can store instructions and previously calibrated neural activity patterns for the certain postures and a processor for receiving the neural signals, pre-processing the neural signals, decoding the neural signals into neural activity patterns, and matching the neural activity patterns to the previously calibrated neural activity patterns. If a match is determined, then the BMI device can send a command, previously linked to the intended posture, to the controllable device to perform the action.

Neural signals of a subject intending certain postures can be decoded and a controllable device can be commanded to perform certain actions based on the decoded intended postures with a system, and method of use thereof, including a brain machine interface (BMI) device. The system also includes electrodes in communication with the subject's nervous system to record the neural signals and the controllable device, both in communication with the BMI device. The BMI device can store instructions and previously calibrated neural activity patterns for the certain postures and a processor for receiving the neural signals, pre-processing the neural signals, decoding the neural signals into neural activity patterns, and matching the neural activity patterns to the previously calibrated neural activity patterns. If a match is determined, then the BMI device can send a command, previously linked to the intended posture, to the controllable device to perform the action.

A sleeping mask includes a signal processor for processing sensor data, an infrared light source coupled to the signal processor and configured to emit infrared light toward an eyelid of a user, and an array of infrared sensors coupled to the signal processor and configured to receive infrared light reflected from the eyelid of the user.

The invention relates to a hybrid intracerebral electrode comprising a narrow, elongated body intended to be implanted in the brain of a patient in order to carry out at least one multi-scale electroencephalographic exploration. Said hybrid intracerebral electrode comprises, in its active part, a plurality of first electrical contact elements forming stationary macro-contacts, and a plurality of second electrical contact elements forming movable micro-contacts. The hybrid intracerebral electrode is characterised by control means which are built into the electrode in a coupling tip integral with the body. The control means are designed to move the second electrical contact elements between a passive position in which same are retracted inside the body and an active position in which same protrude outside the body, and simultaneously to adjust the controlled projection length thereof with respect to the body of the electrode.