Abstract: An information processing apparatus 100 comprising: first inference unit configured to perform a first inference to medical image data and obtain information related to a diagnostic name identified from the medical image data as a first inference result; and second inference unit configured to perform a second inference to the medical image data and the information related to the diagnostic name and obtain information related to an image finding as a second inference result.

Abstract: Disclosed is an application cleaning method and device, a storage medium and an electronic device. In the embodiments of the present disclosure, the method involves: collecting multi-dimensional features of an application as samples, and constructing a sample set of the application; according to information gain ratios of the features with regard to sample classification, carrying out sample classification on the sample set so as to construct a decision tree model of the application; according to a prediction time, collecting corresponding multi-dimensional features of the application as prediction samples; and according to the prediction samples and the decision tree model, predicting whether the application can be cleaned.

Abstract: The present disclosure relates to the field of diagnostics, specifically, to a method of identifying progressing multiple sclerosis (MS) in a subject. At least one performance parameter is determined from a dataset of activity measurements obtained from the subject using a mobile device, and the performance parameter is compared to a reference, whereby a subject with progressing MS will be identified. Also disclosed is a method of recommending an anti-CD20 antibody therapy against MS that includes the steps just mentioned and the further step of recommending the anti-CD20 antibody therapy if the subject suffers from progressing MS. Also disclosed is a mobile device having a processor, at least one sensor and a database as well as software which is tangibly embedded to the device and, when running on said device, carries out the method of this disclosure as well as the use of such a device for identifying a subject suffering from progressing MS.

Abstract: An apparatus comprises a data processing unit, which causes the apparatus to: receive at least two electroencephalographic signals of a brain of a person; form a first information about at least one of the following: phase-to-phase coupling between at least two electroencephalographic signals, phase-to-amplitude coupling between at least two electroencephalographic signals and amplitude-to-phase coupling between at least two electroencephalographic signals, the first information being related to slow waves having frequencies at or lower than 1 Hz; normalize the first information; and output information about the normalized first information.

Abstract: In some embodiments, the present invention provides an exemplary inventive system that includes: an apparatus to record: individual's brain electrical activity, a physiological parameter of the individual, and iii) an environmental parameter; a computer processor configured to perform: obtaining a recording of the electrical signal data; projecting the obtained recording of electrical signal data onto a pre-determined ordering of a denoised optimal set wavelet packet atoms to obtain a set of projections; normalizing the particular set of projections of the individual using a pre-determined set of normalization factors to form a set of normalized projections; determining a personalized mental state of the individual by assigning a brain state; determining a relationship between: the physiological parameter, the environmental parameter, and the personalized mental state; generating an output, including: a visual indication, representative of the personalized mental state, and) a feedback output configured to af

Abstract: A system for detecting eye blink activity, the system including one or more processors in communication with non-transitory data storage media having instructions stored thereon that, when executed by the one or more processors configure the one or more processors to perform the steps of receiving, with a receiving module, a signal associated with eye blink activity; filtering, at a processing module, the signal to reduce noise from the signal; calculating, at the processing module, a variance of the filtered signal for estimating background noise; removing, at the processing module, background noise associated with the variance; and detecting, at the processing module, eye blink activity by performing duration detection.

Abstract: A system for a brain-computer interface (BCI) is provided. The system comprises an output unit configured to trigger a series of mental tasks for the patient, a device having a plurality of electrodes to continuously capture real-time raw electroencephalography (EEG) data from a patient, a server, and a display device to display and update an interface with visual elements based on issued control commands from the server. The server has an acquisition unit configured to receive the electrode data, a processor configured to detect real-time changes in brain-state of the patient in response to the series of mental tasks for the patient, a presentation unit configured to generate visual elements for an interface in real-time, and a display controller configured to issue control commands to update the interface using the generated visual elements. The processor detects the real-time changes in brain-state using the electrode data.

Abstract: A pressure sensing system for measuring pressure acting between a user's head and a protective helmet includes a flexible article that is configured to fit between a wearable protective article and a body part of a user. The system further includes a pressure sensor array comprising a plurality of pressure sensors secured to the flexible article. The system may include a data acquisition module configured to provide data from the pressure sensor array to a computer having a display that provides pressure data to a user.

Abstract: A method and module for detecting dependencies of at least two data streams of sensor measurements is provided, which are recorded on a technical device, in particular in an energy generation device, including: an input interface which is adapted for capturing the streams of sensor data from sensors, a data structure for analysis in form of a sliding window which is incrementally moved over the respective streams of sensor data so that there is an overlap between consecutive windows, and a processor, which is adapted to apply an entropy-based algorithm on the data within the sliding window for calculating data stream dependencies, while incrementally moving the sliding window, wherein only updated data in the sliding window is processed by the entropy based algorithm.

Abstract: A method of managing pain provides sensory stimuli to a person. The sensor stimuli include visual and/or auditory stimuli which are pulsed at the rate of various types of brain waves. The method is applicable for treating nociceptive or neuropathic pain and/or for improving the person's tolerance for pain. Treatment is provided for approximately 15 minutes using a portable headset.

Abstract: The present disclosure provides a vehicle control device, a vehicle control method and a head-up display apparatus. The vehicle control device includes: an extraction circuit used to extract brain wave signals of a user; and a control circuit used to determine whether the user is in an unsafe driving state according to the brain wave signals, and perform at least one of operations including issuing a warning reminder and controlling vehicle deceleration when determining that the user is in the unsafe driving state.

Abstract: Devices, methods and systems for transmitting signals through a device located in a blood vessel of an animal for stimulating and/or sensing activity of media proximal to the devices. The media can include tissue and/or fluid. A method of controlling an apparatus in communication with a brain machine interface. The method can include measuring a first neural activity in a first neural area and measuring a second neural activity in a second neural area. The first neural activity can be associated with a first intent. The method can include creating and delivering, via the processor, one or more first control signals to the apparatus upon comparing the second neural activity with the first neural activity, and confirming, based on this comparison, that the second neural activity is associated with the first intent.

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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 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: 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 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.