Abstract: Brain-computer interface method and system include displaying and providing a motor imagery task to a subject, and collecting a generated digital electroencephalogram signal; reading the digital electroencephalogram signal, performing interception if a preset time period is exceeded, and performing continuous reading if not; performing band-pass filtering, obtaining time-frequency characteristics of the digital electroencephalogram signal, and extracting a frequency value with highest frequency energy as a main frequency; obtaining an instantaneous phase of the digital electroencephalogram signal; generating predicted sine waves by respectively using the main frequency and the instantaneous phase as a frequency and an initial phase of sine waves, and predicting and obtaining real-time phase information; and judging whether the real-time phase is in a vibration stimulation application phase interval, generating and outputting a control instruction, and controlling a vibration motor to vibrate and to stimulate

Abstract: Systems and/or methods for assessing the sleep quality of a patient in a sleep session are provided. Data is collected from the patient and/or physician including, for example, sleep session data in the form of one or more physiological parameters of the patient indicative of the patient's sleep quality during the sleep session, a subjective evaluation of sleep quality, etc.; patient profile data; etc. A sleep quality index algorithm, which optionally may be an adaptive algorithm, is applied, taking into account some or all of the collected data. Sleep quality data may be presented to at least the patient, and it may be displayed in any suitable format (e.g., a format useful for the patient to be appraised on the progress of the treatment, a format useful for a sleep clinician to monitor progress and/or assess the effectiveness of differing treatment regimens, etc).

Abstract: Embodiments described herein relate to systems, devices, and methods for use in the implementation of a human-computer interface using high-speed, and efficient tracking of user interactions with a User Interface/User Experience that is strategically presented to the user. Embodiments described herein also relate to the implementation of a hardware agnostic human-computer interface that uses neural, oculomotor, and/or electromyography signals to mediate user manipulation of machines and devices.

Abstract: A method of replicating a mental state of a first subject in a second subject comprising: capturing a mental state of the first subject represented by brain activity patterns; and replicating the mental state of the first subject in the second subject by inducing the brain activity patterns in the second subject.

Abstract: Described is a system for feature selection that extends supervised hierarchical clustering to neural activity signals. The system generates, using a hierarchical clustering process, a hierarchical dendrogram representing a set of neural activity data comprising individual neural data elements having neural activity patterns. The hierarchical dendrogram is searched for an optimal cluster parcellation using a stochastic supervised search process. An optimal cluster parcellation of the hierarchical dendrogram is determined that provides a classification of the set of neural activity data with respect to a supervised classifier, resulting in a reduced neural activity feature set. The set of neural activity data is classified using the reduced neural activity feature set, and the classified set of neural activity data is decoded.

Abstract: The present disclosure pertains to a system and method for determining sleep stages during individual sleep cycles based on algorithms and/or parameters that correspond to the individual sleep cycles. The system enables more accurate real-time sleep stage determinations compared to prior art systems. Sleep cycles are detected in real-time based on an electroencephalogram (EEG), and/or by other methods. At the end of a sleep cycle, the system is configured such that the specific algorithms and/or parameters used for the previous sleep cycle to determine sleep stages are replaced by new ones which are specifically adapted for the next sleep cycle.

Abstract: A method for tagging and organizing data is provided. In one example, physiological data detected from a wearer of a wearable device is received and associated with a tag based, at least in art, on an input by the wearer. The input may be a state of the wearer, such as physical or mental state, or a rule. The collected physiological data may be organized based on the tag and, in some examples, on other types of received data, such as a wearer's personal data. In other example methods, data may be stored in a database based on one or more tags associated with the data.

Abstract: In one aspect, a computer-implemented method corrects a multi-sphere head model used in dipole localization for a set of magnetic field sensors (MEG sensors) by replacing ghost spheres with replacement spheres that are not ghost spheres. One type of ghost sphere completely encloses the brain volume but is so large that a center of the sphere is outside the brain volume. Another type of ghost sphere lies entirely outside the brain volume. Various approaches for correcting ghost spheres are disclosed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for displaying hubs in brain data. One of the methods includes receiving hub data, the hub data comprising anatomical data and connectivity data of at least part of a brain, the connectivity data comprising a first plurality of nodes and a second plurality of edges, each edge of the second plurality of edges connecting a pair of nodes among the first plurality of nodes; forwarding the hub data to a user computer for display; receiving a first user indication requesting a display of unexpected hub data; determining, in response to the first user indication, unexpected hub data comprising nodes that have connectivity outside of a specified threshold; and forwarding the unexpected hub data to the user computer for display.

Abstract: Provided is a technique for comprehensively understanding the relationship between brain regions. A brain connectivity analysis system herein includes a memory configured to have stored therein a connectivity analysis program for analyzing the connectivity; and a processor configured to read the connectivity analysis program from the memory and analyze the connectivity. The processor is configured to execute a process of acquiring from a storage unit measured data on a plurality of selected regions of a brain, a process of determining at least two of the plurality of regions as seed regions and calculating a plurality of connectivity features for the seed regions and other regions from the measured data on the plurality of regions, and a process of generating a connectivity feature graph showing a relationship between a transfer delay time and another connectivity feature of each region that are included in the plurality of connectivity features.

Abstract: A biological information measuring instrument performs high precision biological information measurement on a living body. The biological information measuring instrument includes: a measuring unit and an analysis unit that measure a user in a contactless manner to acquire biological information; and a speech unit that produces an alarm for reducing body movements of the user. The measuring unit and the analysis unit start to acquire biological information at an acquisition starting time. A control unit sets the acquisition starting time so as to fall in a prescribed range of time defined using an alarm starting time for the speech unit as a reference.

Abstract: An exemplary system, method and computer-accessible medium for determining an effect(s) of a convulsive stimulation therapy(ies) on a patient(s) can be provided, which can include, for example, receiving first information related to a visual network or a default mode network of a brain of the patient(s), receiving second information related to a subgenual ACC or a default mode (DMN network of the brain of the patient(s), and determining the effect(s) of the convulsive stimulation therapy(ies) based on a relationship between the first information and the second information. The convulsive stimulation therapy(ies) can be an electroconvulsive therapy or a magnetic seizure therapy.

Abstract: In one aspect, a computer-implemented method corrects a multi-sphere head model used in dipole localization for a set of magnetic field sensors (MEG sensors) by replacing ghost spheres with replacement spheres that are not ghost spheres. One type of ghost sphere completely encloses the brain volume but is so large that a center of the sphere is outside the brain volume. Another type of ghost sphere lies entirely outside the brain volume. Various approaches for correcting ghost spheres are disclosed.

Abstract: An implantable medical device includes a detecting unit, a control unit and a communication unit. The control unit uses a seizure prediction algorithm to predict epilepsy seizure events in real time based on physiological information detected by the detecting unit, and stores internal data which comprise the detected physiological information and prediction information about the prediction result. The control unit is configured to, in a first communication mode, control its memory unit and communication unit to transmit the internal data to the external monitoring device, and in a second communication mode, control the communication unit to receive an updated seizure prediction algorithm from the external monitoring device and stores the algorithm in the memory unit for predicting seizure events.

Abstract: A neuromodulator may output stimuli that causes a user to fall asleep faster than the user would in the absence of the stimuli. Alternatively, the stimuli may modify a sleep state or behavior associated with a sleep state, or may cause or hinder a transition from a waking state to a sleep state or from a sleep state to another sleep state. The neuromodulator may take electroencephalography measurements. Based on these measurements, the neuromodulator may detect, in real time, instantaneous amplitude and instantaneous phase of an endogenous brain signal. The neuromodulator may output stimulation that is, or that causes sensations which are, phase-locked with the endogenous brain signal. In the course of calculating instantaneous phase and amplitude, the neuromodulator may perform an endpoint-corrected Hilbert transform. The stimuli may comprise auditory, visual, electrical, magnetic, vibrotactile or haptic stimuli.

Abstract: An error monitoring apparatus and method are provided. The error monitoring method includes determining whether or not a predetermined event has occurred to a first mobility; sensing to collect an event-related potential (ERP) for at least one passenger of the first mobility for a predetermined amount of time, analyzing the collected ERP based on the determination, and transmitting error information of the first mobility to a traffic control server based on an analysis result. Herein, the predetermined event includes a traffic accident related at least to the first mobility, and the error information of the first mobility includes at least one of time information regarding when the ERP occurs, a waveform of the ERP, location information of the first mobility, or operational information of the first mobility.

Abstract: Receiver circuitries having multiple branches, such as unrolled feedback equalizers and fractional-rate receivers, may present differences between filtering elements of different branches with common filter inputs. Embodiments include devices capable of calibration that compensates such differences. The devices may be capable of introducing front-end offsets to emphasize the mismatches, and sweep filter input values to calculate the mismatches, and introducing offsets in the branches to compensate for the mismatches. Methods for use of the calibration devices are also described.

Abstract: In an example, physiological signal(s) are received from physiological sensor(s) configured to measure at least one physiological property of a user. An arousal of at least one characteristic of at least one treatment resistant mood disorder is detected through employment of an estimation method based at least in part on at least one of the physiological signal(s). A value for at least one of a plurality of stimulation parameters is selected based at least in part on at least one of the physiological signal(s). An electric field based at least in part on the arousal is produced. The electric field is configured to stimulate at least a portion of a median nerve of the user transcutaneously. The electric field is based at least in part on at least some of the plurality of stimulation parameters.

Abstract: Techniques are described for real-time phase detection. For the phase detection, a signal is correlated with a frequency component of a frequency band whose phase is being detected, and the correlation includes predominantly decreasing weighting of past portions of the signals.

Abstract: An method of operating an implantable device includes sensing a neural signal generated in a tissue of a body, recognizing input information to process a cryptocurrency-based financial transaction by analyzing the sensed neural signal, and processing the cryptocurrency-based financial transaction based on the recognized input information.

Abstract: A method for delivering electrical stimulation to alter a cognitive state of a user, the method comprising: monitoring a brain signal from the user via one or more intracranial electrodes implanted in the brain of the user while the user is presented with a stimulus; comparing the brain signal to a testing phase biomarker, wherein the testing phase biomarker is derived from a cognitive test performed on a contributor during a testing phase; delivering electrical stimulation to a brain of the user based on the comparing step to steer the brain of the user towards a high performance cognitive state.

Abstract: An image analysis system and method classify cells in a tissue image. The system and method may extract at least one image feature characterizing an object in the tissue image. Based on the extracted image feature, cells may be classified according to at least one predefined membrane pattern. For each classified cell, a class label that identifies a class to which the classified cell belongs may be outputted.

Abstract: Described herein are methods and systems for clustering events in temporal signals, such as physiological signals. In some embodiments, a method for identifying events of interest from noisy physiological signal data is provided, the method comprising: receiving physiological signal data; generating filtered signal using a filter defined by a spectral band; generating signal peak data by identifying, for each of a plurality of time windows, a signal peak in the filtered data; grouping waveforms corresponding to the time windows based on the signal peak data to generate clustered event data; determining parameters for a noise beta distribution; identifying a cluster of waveforms that does not fall within the noise beta distribution; generating a graphical representation based on the waveforms in the cluster; and displaying the graphical representation.

Abstract: A method for picking up body signals from the head of a user comprises a) placing first and second electrodes on first and second different positions at a first side of the user's head in direct or capacitive contact with the user's head, said first side comprising a first eye of the user, the first and second electrodes being configured to pick up first and second electric potentials, respectively, from the user's body, and b) providing an Electrooculography signal representative of a corneo-retinal potential difference of said first eye of the user in dependence of said at first and second electric potentials. The first and second positions may be (substantially) located in a plane including the first eye of the user. A portable electronic device providing an Electrooculography signal, and a hearing device utilizing an Electrooculography signal is further disclosed.

Abstract: A method, system, and computer program product of controlling driver interaction with an autonomous vehicle (AV) system for a vehicle are provided. In an embodiment, a signal indicating a present state of the driver is received. A signal indicating a past state of the driver is received. A present effectiveness of the driver is determined based on the received signals. A target level of engagement of the driver with the AV system is determined based on the present effectiveness of the driver.

Abstract: A method and apparatus for monitoring formation of ice on a wind turbine blade are provided. The method includes: capturing an image of the blade through a camera; detecting a region of the blade from the captured image; clearing image information of a background region from the captured image, which is in the captured image except for the region of the blade, to obtain a blade image; and inputting the obtained blade image into a recognition model of ice on a blade obtained by training on a sample set, to determine whether ice is on the captured blade, wherein the sample set comprises a plurality of blade images indicating that ice is on blades.

Abstract: The present subject matter relates to methods, systems, devices, circuitry and equipment providing for communication service to be transported between first and second networks and which monitors the communication service and/or injects test signals over two fiber cables. A first single fiber cable is used to interface the communication services between the first and second network. A second single fiber cable is used to monitor the communication services and/or inject signals. The circuitry comprises a plurality of input amplifiers, output amplifiers, and multiplexer switches between a plurality of port connectors. An SFP module is inserted in all ports, and the SFP modules connect to one or more fiber optic cables.

Abstract: A computer-implemented method for automatically identifying subjects at risk of Multiple Sclerosis (MS) includes acquiring a plurality of images of a subject's brain using a Magnetic Resonance Imaging (MRI) scanner. A contrast enhancement process is applied to each image to generate a plurality of contrast-enhanced images. An automated lesion detection algorithm is applied to detect one or more lesions present in the contrast-enhanced images. An automated central vein detection algorithm is applied to detect one or more central veins present in the contrast-enhanced images. An automated paramagnetic rim detection algorithm is applied to detect one or more paramagnetic rims present in the contrast-enhanced images. The patient's risk for MS may then be determined based on the one or more of the lesions, central veins, and paramagnetic rims present in the contrast-enhanced images.

Abstract: A method for utilizing a proxy server interface includes measuring at least one of physiological or neurological functions of a subject by a hardware sensor in a measurement system, the hardware sensor configured to generate a signal containing information of the at least one of physiological or neurological functions, manipulating the signal by a processor, the measurement system including a first memory configured to store the manipulated signal, outputting the signal to the proxy server interface, the proxy server interface configured to buffer the signal in a second memory, and polling the proxy server interface for the buffered signal by an Internet browser. Outputting the signal to the proxy server interface and polling the proxy server interface for the buffered signal occurs asynchronously.

Abstract: Embodiments described herein relate to systems, devices, and methods for use in the implementation of a brain-computer interface that integrates real-time eye-movement tracking with brain activity tracking to present and update a user interface that is strategically designed for high speed and accuracy of human-machine interaction. Embodiments described herein also relate to the implementation of a hardware agnostic brain-computer interface that uses real-time eye tracking and online analysis of neural signals to mediate user manipulation of machines.

Abstract: Methods, systems, apparatus, and non-transitory computer readable media are disclosed utilizing brain-computer interfaces (BCIs). Various embodiments are disclosed to allow a user to directly select multiple-choice answers, to provide motorized wheelchair controls, and to allow a user to play a game via the BCI. When used in a cognitive assessment test, embodiments include the administration of unmodified standardized tests with results in the same or a similar format as those taken without a BCI. Various embodiments are disclosed to improve the accuracy of BCI test administration using a three-step process for each test question, which includes determining whether the user intends to select an answer, monitoring user brain activity to determine a selected answer, and verifying the selected answer. In addition, the selected answer may be verified by monitoring user brain activity in accordance with a hold-release process to determine whether a user intends to initiate a state change.

Abstract: Various embodiments of a hearing device and a system of using such device are disclosed. The hearing device includes a housing, electronic components disposed within the housing, and an earpiece adapted to be disposed in an ear canal of the ear of the wearer. The device also includes a sensor adapted to be in contact with a portion of the ear of the wearer, where the sensor is further adapted to detect a physiological characteristic of the wearer and generate a sensor signal based on the physiological characteristic that is received by a controller of the electronic components disposed within the housing; and a cable that operatively connects the sensor to the earpiece, where the cable is biased to maintain contact between the sensor and the portion of the ear of the wearer when the earpiece is disposed in the ear canal of the wearer.

Abstract: In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

Abstract: An example system includes an analyzer to identify a degree of amplitude synchrony between a first pattern in a first frequency band in first neuro-response data and a second pattern in a second frequency band in the first neuro-response data, the first neuro-response data gathered via a first modality of collection from a subject while the subject is exposed to media, and modify the degree of amplitude synchrony in response to activity in second neuro-response data, the second neuro-response data gathered via a second modality of collection from the subject while the subject is exposed to the media, the activity corresponding in time to at least a portion of the first pattern or the second pattern. The example system includes an estimator to determine an effectiveness of the media based on the modified degree of amplitude synchrony.

Abstract: In an example, there is disclosed a computing apparatus for performing binary classification on a corpus of objects, having: one or more logic elements providing a classification engine to: access a training set comprising a plurality of binary classified objects, each object including one or more features, and each object designated as belonging to the class or not belonging to the class; build a model comprising a probability that each of the one or more features implies that an inspected object belongs to the class; access a particular object from the corpus; analyze the particular object to identify one or more identified features, the identified features selected form the one or more features; assign the particular object a composite score comprising a sum of the identified features; and designate the particular object as belonging to the class if and only if the composite score is above a threshold.

Abstract: The present invention presents methods and apparatus for detecting, imaging, monitoring, and modulating of brain activities and neuronal activities in the brain using radiofrequency (RF) electromagnetic (EM) waves, as well as methods and apparatus for detecting, imaging, and monitoring breathing and heart-beating using RF EM waves.

Abstract: An example system includes an analyzer to identify first activity in first neuro-response data, the first activity generated in response to exposure of a subject to a first stimulus prior to exposure to an advertisement or entertainment; identify second activity in second neuro-response data, the second activity generated in response to re-exposure of the subject to the first stimulus after to exposure to the advertisement or entertainment; calculate a differential event related potential measurement; and calculate a differential event related power spectral perturbation. The example system includes a resonance estimator to determine a subject resonance measurement to the advertisement or the entertainment based on the differential event related potential measurement and adjust at least one of the subject resonance measurement or the differential event related potential measurement based on the differential event related power spectral perturbation to generate an adjusted subject resonance measurement.

Abstract: Two types of information processing devices includes circuitry to display, on a display device, a position representation area indicating a position of each of a group of sensors that detects biomedical signals of a test subject, display on the display device a selection acceptance area accepting selection of a plurality of positions of a plurality of desired sensors, the plurality of positions being selected from the group of sensors using an operating unit, and display on the display device a waveform display area displaying a waveform output from the plurality of desired sensors corresponding to the plurality of selected positions. In the first type of information processing device, single-region data indicating a region including the plurality of selected positions is displayed in the position representation area. In the second type of information processing device, the plurality of selected positions are enlarged and displayed in the position representation area.

Abstract: A method for graphically displaying evoked potentials is disclosed herein. The method transforms each of an averaged evoked potentials into a single vertical line, wherein a first amplitude range is represented by a first color, a second amplitude range is represented by a second color, a third amplitude range is represented by a third color and a fourth amplitude range is represented by a fourth color.

Abstract: Systems and methods related to imaging biomarkers for determining neurological disease states of a subject are provided. In one embodiment, a method for producing an image indicative of a neurological disease using a magnetic resonance imaging (“MRI”) system is provided. The method includes directing the MRI system to perform a double inversion-recovery (“DIR”) pulse sequence to generate data where signals from gray matter and cerebral spinal fluid are substantially suppressed. The method also includes analyzing the DIR images, reconstructed from the acquired data, to identify cortical and white matter lesions. This includes identifying imaging biomarkers based on visual signatures of brain tissue, including white matter tissue. In some aspects, diffusion-weighted data may also be obtained using the MRI system.

Abstract: A disposable apparatus for electroencephalography measurement on a human subject is provided. The disposable apparatus for electroencephalography measurement may be securely attached to the subject's head without attachment gel contacting the subject' scalp. A transparent body is provided for easy placement of electrodes. Methods to use the apparatus for electroencephalography measurement are also provided.

Abstract: Methods, systems, and machine-readable to adapt delivery of content composites to an endpoint media device are disclosed. A first content composite may be transmitted via a packet stream to an endpoint media device. A communication from the endpoint media device that is indicative of having output at least part of the first content composite for display may be processed. Operational data from that is indicative of operations executed by the endpoint media device or a communication device may be processed and mapped to one or more operational values correlated to a metric that corresponds to endpoint disconnection with the first content composite may be identified. A second content composite to be inserted into the packet stream to the endpoint media device may be selected. The second content composite may be transmitted via the packet stream from the content provider system to the endpoint media device.

Abstract: A method for evaluating a treatment for a brain condition, including: extracting one or more microstate parameter values from at least one EEG signal that was measured after the treatment; and evaluating at least one parameter of the treatment based on the one or more microstate parameter values.

Abstract: The method for inducing sleep by a sleep inducing system includes acquiring brain signals of a user as sleeping time passes; calculating a functional connectivity value between two channels for each frequency based on the acquired brain signals and performing brain network analysis; determining the stage of sleep of the user based on features of the analyzed brain network; determining a target frequency according to the determined stage of sleep and generating a binaural beat with which the brain signals of the user are induced to the target frequency; combining the generated binaural beat with ASMR information; providing the combined auditory stimulus information to the user; and determining whether the current stage of sleep of the user is maintained at an appropriate proportion with respect to total sleep time, determining whether or not to induce the next stage of sleep, and performing feedback according to the result of determination.

Abstract: Provided in the embodiments of the present disclosure are a control method and device based on brain signal, and a human-machine interaction device, which periodically acquire EEG signals and cerebral oxygen signals within a target period, generate an electroencephalogram (EEG) wave curve representing changes of the EEG signals and a cerebral oxygen wave curve representing changes of the cerebral oxygen signals respectively within the target period, determine whether the EEG wave curve and the cerebral oxygen wave curve satisfy a condition for controlling a controlled device to perform a target operation, and control the controlled device to perform the target operation when the EEG wave curve and the cerebral oxygen wave curve satisfy the condition.

Abstract: This invention is a wearable brain activity device with electrodes held on a person's head by a frame comprising a ring portion which encircles the person's head and an arc portion which loops over the top of the person's head. Data from the electrodes is used to analyze the person's brain activity within a frequency band of 0.5-4 Hz. The device includes a speaker or vibrating member which is used to help to guide the person's brain activity from a first pattern to a second pattern.

Abstract: There is provided a system, system architecture, and method for neural cross-frequency coupling analysis. In an embodiment, the method includes: receiving neural signals; extracting a phase frequency signal and an amplitude frequency envelope signal from each of the neural signals; determining a first measure of cross-frequency coupling comprising a mean vector length modulation index (MVL-MI), determining the MVL-MI comprises determining a magnitude of an averaged complex-valued time series from a plurality of samples of the neural signals to extract a phase-amplitude coupling measure, each sample associated with a respective one of the amplitude frequency envelope signals and the phase frequency signals; and outputting at least one measure of the cross-frequency coupling.

Abstract: A system and method to screen for malignant gliomas, other brain tumors, and brain injuries use disturbance coefficient, differential impedances, and artificial neural networks. The system uses prescribed excitation signals with several system configurations to measure the differential impedances, calculate harmonic responses and nonlinearity of brain tissue, and estimate the disturbance coefficient that indicates the likelihood of malignant gliomas, other brain tumors, and brain injuries. The disturbance coefficient is a weighted sum of many parameters such as receiving differential impedances, transmission differential impedances, harmonic responses, frequency dispersion, and nonlinear responses using different system configurations and different excitation signals. The method includes arranging the transmitters, receivers, and transmission lines to maximize the sensitivity of detecting brain tissue condition.

Abstract: An example system disclosed herein includes an analyzer to determine a first priming characteristic of media at a first location based on first neuro-response data and determine a second priming characteristic of the media at the second location based on second neuro-response data. The example system includes a selector to select a third location in the media after the first location or a fourth location in the media after the second location as a candidate location for introduction of advertising material based on the first priming characteristic and the second priming characteristic. The selector is to select the third location when the first priming characteristic indicates increased receptivity to the advertising material at the first location relative to the second priming characteristic and select the fourth location when the second priming characteristic indicates increased receptivity to the advertising material at the second location relative to the first priming characteristic.

Abstract: A method for delivering fluid to the brain of a subject using an intraparenchymal catheter, the method comprising the step of inserting the catheter 5 into the brain using a posterior to anterior approach and methods of treating neurodegenerative disorders using this delivery method, as well as methods for delivering fluid to an elongate structure of the brain using an intraparenchymal catheter, the method comprising the step of inserting a catheter into the brain along an insertion axis that is substantially aligned with a long axis of the elongate structure.