An apparatus for measuring patient data includes a frame having a plurality of electrode hubs. Each hub can include one or more electrode members. The frame can be configured to receive a head of a patient. Each of the electrode hubs can have a single electrode member or a plurality of electrode members that extend from or are connected to an outer member for contacting a scalp of the head of the patient. The outer member can have at least one circuit configured to transmit data received by at least one of the electrode members to a measurement device via a wireless communication connection (e.g. Bluetooth, near field communication, etc.) or a wired communication connection.

A mental impairment detection system and non-invasive method of detecting mental impairment of a user are provided. A test (e.g., an inhibitory reflex test or a sustained attention test) is administered to the user, brain activity in a frontal lobe of the user is non-invasively detected while the test is administered to the user, and a level of mental impairment of the user is determined based on the brain activity detected in the frontal lobe of the user.

A mental impairment detection system and non-invasive method of detecting mental impairment of a user are provided. A test (e.g., an inhibitory reflex test or a sustained attention test) is administered to the user, brain activity in a frontal lobe of the user is non-invasively detected while the test is administered to the user, and a level of mental impairment of the user is determined based on the brain activity detected in the frontal lobe of the user.

Systems and methods for neurofeedback-triggered therapy for neurological conditions in accordance with embodiments of the invention are illustrated. One embodiment includes a neurofeedback-triggered therapy system, including a plurality of vibrotactile stimulators, a brain activity recorder, and a controller, including a processor, and a memory, the memory containing a neurofeedback application, where in order to condition a user to reduce the symptoms of a neurological condition on demand triggered by upregulating sensorimotor rhythm (SMR) activity, the neurofeedback application directs the processor to obtain brain activity data from the brain activity recorder, identify sensorimotor rhythm (SMR) spindles in the brain activity data, and provide vibrotactile Coordinated Reset (vCR) stimulation to a user using the plurality of vibrotactile stimulators when SMR spindles are identified, where the vCR stimulation reduces the symptoms of a neurological condition of the user.

A circuit for electrical stimulation of a brain is disclosed. The circuit may include a plurality of electrical stimulators, a plurality of electrodes, a crossbar switch, and a processing unit. Each of the plurality of electrical stimulators is configured to generate an electrical signal. The crossbar switch includes a plurality of individual switches. The processing unit is configured to provide a connection between at least one of the plurality of electrical stimulators and a first electrode of the plurality of electrodes through an individual switch of the plurality of individual switches by turning on the individual switch.

A circuit for electrical stimulation of a brain is disclosed. The circuit may include a plurality of electrical stimulators, a plurality of electrodes, a crossbar switch, and a processing unit. Each of the plurality of electrical stimulators is configured to generate an electrical signal. The crossbar switch includes a plurality of individual switches. The processing unit is configured to provide a connection between at least one of the plurality of electrical stimulators and a first electrode of the plurality of electrodes through an individual switch of the plurality of individual switches by turning on the individual switch.

Stimulation of nervous system components by electrodes can be used in many applications, including in the operation of brain-machine interfaces, bidirectional neural interfaces, and neuroprosthetics. The optimal operation of such systems requires a means of accurately measuring neural responses to such stimulations. However, currently the measurement of neural responses is difficult due to heavy stimulation artifacts arising from stimulatory pulses. The invention encompasses novel methods of estimating stimulation artifacts in measurements attained by recording electrodes and the effective removal of these artifacts. This provides improved neural recording systems and enables the deployment of closed-loop neural stimulation systems.

Methods of performing diagnostic tests on electroencephalography (EEG) recording devices comprising at least one stimulator coupled with a plurality of EEG electrode recording channels and corresponding recording channel connectors are performed by a test fixture comprising a plurality of resistors coupled with one or more of the EEG electrode recording channels and corresponding recording channel connectors. The methods include performing an impedance test for determining if each EEG recording channel of the EEG recording device has a predefined impedance, performing a channel uniqueness test for each EEG recording channel, performing a test for verifying the state of a switch of the stimulator of the EEG recording device, and performing a test for verifying connector IDs of the recording channel connectors connecting the EEG electrodes to respective EEG recording channels.

A system and method for thought-based control of sexual stimulation devices using electroencephalography. The system and method involve a training phase and an operation phase. In an embodiment, the training phase comprises placing electrodes on the head of a person, measuring electrical signals produced by the person's brain via the electrodes while the user engages in one or more thought-based training tasks, associating patterns of electrical activity in the person's brain while performing the tasks with controls of the sexual stimulation device. In an embodiment, the operation phase comprises generating control signals for the sexual stimulation device based on the associations when the patterns of electrical activity are detected by the electrodes. In some embodiments, machine learning algorithms are used to detect the patterns of electrical activity and make the associations. In some embodiments, data from other biometric sensors is included in the associations.

A system having one or more devices (1) for automatic brainwave analysis, configured to be worn by a user, and a remote processing unit configured to store all of the signals from said one or more devices, having at least one brainwave sensor (11, 12), providing a stream (21, 22) of brain data associated with said user; at least one environmental sensor (13, 14), providing an environmental data stream (23, 24); means (15) for selecting a signal extracted from said stream of brain data, for associating them with at least one corresponding signal extracted from said stream of environmental data, for storing said signals and for transmitting them to the remote processing unit, the latter comprising means for extracting classification information from said data, and for constituting a set associating said data with the extracted classification information.