Abstract: A method is provided, performed by a wearable computing device comprising at least one bio-signal measuring sensor, the at least one bio-signal measuring sensor including at least one brainwave sensor, comprising: acquiring at least one bio-signal measurement from a user using the at least one bio-signal measuring sensor, the at least one bio-signal measurement comprising at least one brainwave state measurement; processing the at least one bio-signal measurement, including at least the at least one brainwave state measurement, in accordance with a profile associated with the user; determining a correspondence between the processed at least one bio-signal measurement and at least one predefined device control action; and in accordance with the correspondence determination, controlling operation of at least one component of the wearable computing device, such as modifying content displayed on a display of the wearable computing device.

Abstract: An embodiment rehabilitation robot control apparatus includes a brainwave signal measuring device configured to measure a brainwave signal of a user, a preprocessing device configured to preprocess the measured brainwave signal, a classification device configured to classify a motor intention of the user based on the brainwave signal preprocessed by the preprocessing device, and a controller configured to reflect the motor intention of the user in real time to control an operation or a stop of a rehabilitation robot.

Abstract: Systems and methods are provided, which may be associated with brain computer interface (BCI), and which may use brain activity monitoring data in determining output for presenting a message or implementing a command on a device or system. Two or more signals may be obtained from a user, each generated by the user at least in part by the user engaging in specific thinking to cause value(s) of parameter(s) relating to the brain activity of the user to meet specified condition(s), where that which is thought in the specific thinking is not required to be related to the message or the command. The signals may be used in determining data values that may be used in determining a set of data values. The set of data values may be used in determining the message for presentation or the command for implementation on a system or device.

Abstract: A medical diagnostic apparatus includes a controller; a user interface; a platform having a horizontal surface; and at least one visible light image sensor positioned below the horizontal surface that is capable of producing a diagnostic visible light image of a bottom portion of a foot or feet positioned on the horizontal surface. At least a portion of the horizontal surface is transparent to visible light. The apparatus may further include at least one infrared image sensor positioned below the horizontal surface that is capable of producing a thermal image of the first target area. The apparatus may further include sensors positioned above the platform capable of producing diagnostic visible light images or thermal images of a top portion of the user's foot or feet. The apparatus may further include a weight measurement system coupled to the platform.

Abstract: In general, systems and methods for controlling operation of drug administration devices using surgical hubs are provided.

Abstract: Methods, systems, and techniques for providing neurofeedback and for training brain wave function are provided. Example embodiments provide a Brain Training Feedback System (“BTFS”), which enables participants involved in brain training activities to learn to evoke/increase or suppress/inhibit certain brain wave activity based upon the desired task at hand. In one embodiment, the BTFS provides a brain/computer interaction feedback loop which monitors and measures EEG signals (brain activity) received from participant and provides feedback to participant. The BTFS may use an FFT based system or machine learning engines to deconstruct and classify brain wave signals. The machine learning based BTFS enable optimized feedback and rewards, adaptive feedback, and an ability to trigger interventions to assist in desired brain transitions.

Abstract: A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided.

Abstract: A computing device for use in a system for mapping brain activity of a subject includes a processor. The processor is programmed to select a plurality of measurements of brain activity that is representative of at least one parameter of a brain of the subject during a resting state. Moreover, the processor is programmed to compare at least one data point from each of the measurements with a corresponding data point from a previously acquired data set from at least one other subject. The processor is also programmed to produce at least one map for each of the measurements based on the comparison of the resting state data point and the corresponding previously acquired data point. The processor may also be programmed to categorize the brain activity in a plurality of networks in the brain based on the map.

Abstract: Disclosed herein are methods and systems for transient-based decoding of neural signals. In one aspect, a device such as a brain-computer interface (BCI), includes at least one processor configured to receive a plurality of neural signals from a subject. The at least one processor can detect, from the plurality of neural signals, first neural activity unique to a first defined temporal window corresponding to an onset phase of an intended action of the subject. The at least one processor can detect, from the plurality of neural signals, second neural activity unique to a second defined temporal window, occurring after the first temporal window and corresponding to an offset phase of the intended action. The at least one processor can generate at least one output indicative of the intended action, responsive to detecting at least one of the first neural activity or the second neural activity.

Abstract: A method and system for providing a user with virtual objects within an environment, characterizing interactions with the virtual objects using a brain computer interface, and modulating features of the virtual objects based upon improved classifiers associated with the interactions. The method and system can be used to rapidly customize virtual objects to a specific user in applications related to increasing engagement with traditional and new media content, virtual and augmented reality products, streamlining interactions with input devices in digital and physical environments, providing user authentication tools, providing more secure cybersecurity features, and delivering tailored content to users.

Abstract: Disclosed is a signal processing system for a brain machine interface (BMI) and a method performed by such a signal processing system. The method involves receiving and filtering input data comprising cortical signal samples, calculating a threshold for detection of spikes, identifying spikes in subsequently received samples, and outputting spike data corresponding to the identified spike or spikes.

Abstract: A method for decoding mood or other neuropsychiatric states from large-scale brain activity includes receiving, by a processor, large-scale brain activity signals from an electrode assembly coupled to a subject. The method includes continuously and automatically decoding a neuropsychiatric state of the subject from the large-scale brain activity signals received from a predictive network subset of brain sites coupled to the electrode assembly, contemporaneously with the receiving. The method includes providing a signal indicative of the neuropsychiatric state. A method for adaptive tracking of large-scale brain network activity includes characterizing, by one or more computers, a time-variant linear state-space model predictive of a brain state, at least in part by updating estimates of time-varying covariance matrices at time steps.

Abstract: Methods, apparatus, and processor-readable storage media for facilitating a secure platform for point-to-point brain sensing are provided herein. An exemplary method includes presenting a user of a brain-computer interface with learning content; monitoring brain signals of the user using a brain-computer interface while the learning content is being presented; determining, based at least in part on said monitoring, that a confusion state of the user exceeds a personalized confusion threshold in regard to at least a part of the learning content; in response to said determining, outputting information to assist the user in understanding the part of the learning content until the confusion state of the user is below the personalized confusion threshold.

Abstract: Techniques are disclosed for delivering electrical stimulation therapy to a patient. In one example, a medical system delivers electrical stimulation therapy to a tissue of the patient via electrodes. The medical system determines a first response of a first sensed signal of the patient to the electrical stimulation therapy and a second response of a second sensed signal of the patient to the electrical stimulation therapy. Based on the first response and the second response for controlling the electrical stimulation therapy, the medical system selects one of the first sensed signal and the second sensed signal of the patient. The medical system adjusts a level of at least one parameter of the electrical stimulation therapy based on the selected one of the first sensed signal and the second sensed signal.

Abstract: The invention provides an advanced, modular, intraoperative neurophysiological monitoring (IONM) system, referred to as a “NeuroNet-VII” System, which is the first IONM system designed with a USB hub architecture comprising serially-connected functional “pods which provides multi-modality simultaneous data acquisition which supports all data types useful in operating rooms, diagnostic laboratories, intensive care units, and epilepsy monitoring units. The unique pod architecture makes the IONM system highly modular compared to current systems which typically place components in a limited number of centralized enclosures.

Abstract: A method for actuating an electric motor with a motor control signal with an application-specific frequency, which signal is provided by an electronic motor control unit, wherein the electric motor is used in a vehicle roof for activating a component of this roof while being connected to a region of the roof. Embodiments provide that the electric motor can be actuated by the motor control unit with an additional signal whose frequency and amplitude are suitable for causing the region of the vehicle roof to which said electric motor is connected to oscillate in order to generate sound.

Abstract: A physiological state index calculation system, a physiological state index calculation method, and a non-transitory computer readable medium for capturing subtle changes in a physiological state of a living body are provided. The physiological state index calculation system includes a band-pass filter that filters cerebral blood flow waveform information obtained from a cerebral blood flow of a living body in at least one frequency band, and a complex number conversion unit configured to convert the filtered cerebral blood flow waveform information into a complex number for at least one frequency band. The cerebral blood flow waveform information converted into a complex number by the complex number conversion unit is an oscillator that reflects a physiological state of a living body.

Abstract: The invention relates to methods and devices for providing parameters that indicate a higher likelihood of a postoperative delirium occurring. According to a first aspect of the invention, the following steps are provided: detecting (401) at least one EEG signal at the head of the patient; determining (402) the intraoperative alpha peak frequency of the EEG signal, wherein the alpha peak frequency in the power spectrum of the EEG signal is the frequency in the alpha band for which the power is greatest; checking (403) whether the determined intraoperative alpha peak frequency is significantly lower than a predefined reference value of the alpha peak frequency; and in the event of this, providing (404) a corresponding information in the form of a parameter that shows a higher likelihood of a postoperative delirium occurring. A second aspect of the invention evaluates the change in power of the alpha band after an anesthetic-inducing drug has been administered.

Abstract: Systems and methods for decoding indented speech from neuronal activity in accordance with embodiments of the invention are illustrated.

Abstract: Systems and methods for controlling devices through gestures sensed via an earbud. The earbud can include a set of electrodes configured to contact particular anatomic locations on an individual's ear. Based on electrophysiologic signals sensed via the electrode assembly, the system can identify gestures being performed by the user and control the external device accordingly.

Abstract: Systems and methods for facilitating product preferences and/or product recommendations are disclosed. Biometric data of the subject are taken into account by the systems and methods in order to determine product preferences and/or product recommendations. Other factors of the subject, although optional, may be also taken into account while determining product preferences and/or product recommendations for a subject. These product preferences or recommendations can be presented to the subject, either automatically via a display device or with assistance from a product consultant. To obtain the biometric data, the subject will be exposed to a number of stimuli, such as fragrance/scent stimuli. Biometric data will then be collected from the subject based on her response to this fragrance/scent stimuli. In some examples, the collected biometric data relates to a subject's event-related potential (ERP)—the measured brain response that is the direct result of a specific sensory, cognitive, or motor event.

Abstract: This specification discloses systems, methods, devices, and other techniques for determining the location of a seizure-generating region of the brain of a mammal.

Abstract: Disclosed systems, methods, and products include a self-contained electroencephalogram (EEG) recording patch including a first electrode, a second electrode and where the first and second electrodes cooperate to measure a skin-electrode signal, a substrate containing circuitry for generating an EEG signal there-from, amplifying the EEG signal, digitizing the EEG signal, and retrievably storing the EGG signal in a programmatic fashion. The patch also comprises a power source and an enclosure that houses the substrate, the power source, and the first and second electrodes in a unitary package.

Abstract: Embodiments of the disclosure provide an interaction system, method and device. The interaction system includes an electroencephalogram electrode array that determines a position of a sound source and invoking the electroencephalogram electrode corresponding to the position of the sound source to output a touch signal to a user.

Abstract: Systems and techniques are disclosed for aspects of audiovisual content selection based on collecting and processing physiological data. In an example, a system comprises: a sensor device with at one physiological sensor to capture physiological data from a human subject; an output device with a display device to output video and a speaker to output audio to the human subject; and a computing device with at least one processor to control an output of digital audiovisual data to a human subject via the output device, based on data processing operations including a comparison of an observed pattern of autonomic nervous system activity to a target pattern of autonomic nervous system activity.

Abstract: A method for providing galvanic vestibular stimulation corresponding to accelerations in scenes of a video. Embodiments include (1) receiving a three dimensional video signal including three dimensional video angular velocity information, (2) receiving a three dimensional head orientation signal including three dimensional head angular velocity information, (3) calculating resultant three dimensional angular velocity information based on the video angular velocity information and the head angular velocity information, (4) calculating three dimensional acceleration information based on the resultant three dimensional angular velocity information, and (5) generating three dimensional galvanic vestibular stimulation signals corresponding to the resultant three dimensional angular acceleration information, wherein the three dimensional stimulation signals will stimulate three dimensional acceleration sensations corresponding to accelerations on the user viewing the displayed scenes.

Abstract: A sensor-equipped seat detecting various parameters and determining a change in physical condition of a seated occupant includes: a surface temperature sensor detecting a seat surface temperature on a seated occupant side and acquiring surface temperature data; an outside air temperature sensor detecting the seat body outside temperature and acquiring outside air temperature data; and a controller having a calculation unit calculating the degree of change in temperature difference from the surface temperature data and the outside air temperature data and a wakefulness determination unit determining a wakefulness state of the seated occupant based on the degree of change. The calculation unit calculates the degree of change in temperature difference from the seat surface temperature in the surface temperature data and the outside air temperature in the outside air temperature data, the degree of data.

Abstract: A customizable headgear assembly for neuropsychological and neurological treatment, monitoring, or testing of a patient. The headgear assembly comprising a structural frame having a plurality of anatomical landmark tabs each individually configured to be located upon an anatomical landmark of a patient's head. The structural frame having first and second portions releasably coupled to enable the first and second portions to be at least partially separated for placement and removal from the patient's head. A plurality of electrode holders being operable coupled to the structural frame each configured to locate an electrode upon a predetermined neurological position of the patient.

Abstract: A deep learning model and dimensionality reduction are applied to each of a plurality of records of physiological information to derive a plurality of feature vectors. A similarities algorithm is applied to the plurality of feature vectors to form a plurality of clusters, each including a set of feature vectors. An output comprising information that enables a display of one or more of the plurality of clusters is provided, and a mechanism for selecting at least one feature vector within a selected cluster of the plurality of clusters is enabled. Upon selection of a feature vector, an output comprising information that enables a display of the record of physiological information corresponding to the selected feature vector is provided, and a mechanism for assigning a label to the displayed record is enabled. The assigned label is then automatically assigned to the records corresponding to the remaining feature vectors in the selected cluster.

Abstract: Provided is an information processing apparatus comprising: a first obtaining unit configured to obtain viewpoint information indicating change of a virtual viewpoint corresponding to a virtual viewpoint video generated on the basis of a plurality of images captured from a plurality of directions with a plurality of image capturing apparatuses; a second obtaining unit configured to obtain condition information indicating a condition associated with the amount of change of a background in the virtual viewpoint video; a determination unit configured to determine whether the viewpoint information obtained by the first obtaining unit satisfies the condition indicated by the condition information obtained by the second obtaining unit; and an output unit configured to output information according to the result of the determination by the determination unit.

Abstract: A training apparatus has an input device and a wearable computing device with a bio-signal sensor and a display to provide an interactive virtual reality (“VR”) environment for a user. The bio-signal sensor receives bio-signal data from the user. The user interacts with content that is presented in the VR environment. The user interactions and bio-signal data are scored with a user state score and a performance scored. Feedback is given to the user based on the scores in furtherance of training. The feedback may update the VR environment and may trigger additional VR events to continue training.

Abstract: The present invention relates to a binaural beat sound output device having an improved sound field and a method therefor and, more specifically, to: a brainwave sound output device using binaural beats, which receives music desired by a user and applies binaural beats to a specific frequency band thereof, so that the device can provide the music through a stereo sound source while inducing a desired brainwave state by the stereo sound source, and thus can improve the sound field without the sense of rejection or monotony to the music; and a method therefor.

Abstract: A system and method for measuring and monitoring charge states of one or more electrodes of an implanted stimulation lead system associated with an IPG. A Kelvin connection scheme operative with a switching circuit is provided for coupling select electrode terminals disposed in a Kelvin connection measurement loop in a switchable manner to sense and reference inputs of an analog-to-digital converter (ADC) configured as at least part of diagnostic circuitry for the IPG.

Abstract: An information processing system includes a measurement unit, an output unit, and a reception unit. The measurement unit measures brain waves of a user. The output unit outputs a sound to the user. The reception unit receives a command to correct the sound in a case where the sound is output while the brain waves are being measured.

Abstract: Systems and methods for detecting concussions in real-time are provided. An exemplary system of detecting concussions in real time includes an accelerometer to measure acceleration event and generate an accelerometry signal. The system includes a plurality of electrodes to detect an electroencephalogram (EEG) and each of the electrodes can be attached to a top region of the headgear through a flexible shaft. The system further includes a signal processing circuit to amplify, filter and broadcast an electroencephalogram (EEG) signal to a local wireless receiving unit.

Abstract: The present disclosure relates to methods for evaluating the sound quality of a digital engineering process by, in part, measuring the frequency following response (FFR) of the human auditory system elicited by identical auditory stimuli (e.g., a musical interval) encoded with variations of a digital signal processing technique (e.g., various sampling rates). Once measured, the FFR may be analyzed to determine the comparative effect of each digital signal processing technique on a human subject's ability to process complex stimuli presented by the digital engineering process.

Abstract: A brain-computer interface (BCI) includes a multichannel stimulator and a decoder. The multichannel stimulator is operatively connected to deliver stimulation pulses to a functional electrical stimulation (FES) device to control delivery of FES to an anatomical region. The decoder is operatively connected to receive at least one neural signal from at least one electrode operatively connected with a motor cortex. The decoder controls the multichannel stimulator based on the received at least one neural signal. The decoder comprises a computer programmed to process the received at least one neural signal using a deep neural network. The decoder may include a long short-term memory (LSTM) layer outputting to a convolutional layer in turn outputting to at least one fully connected neural network layer. The decoder may be updated by unsupervised updating. The decoder may be extended to include additional functions by transfer learning.

Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

Abstract: An emotion detecting device includes a memory, a processor and an output/input device. An emotion template with a plurality of emotional statuses is stored in the memory. The processor is configured to receive characteristic values transformed from brain waves of a pet and determine whether the brain waves correspond to a stable state based on variation of the characteristic values during a period. When it is determined that the brain waves correspond to the stable state, the processor determines whether the brain waves match some emotional status among the emotional statuses. When the brain waves match the emotional status, the output/input device outputs information regarding the pet being in the emotional status. When the brain waves do not match any of the emotional statuses in the emotion template, the processor updates the emotion template based on a confirm operation and the characteristic values.

Abstract: The systems and methods can automatically determine a patient-specific set of stimulation parameters using optimization for exploring and/or programming a neurostimulation device, e.g., deep brain stimulation (DBS). In one implementation, the method may include receiving patient data and set of stimulation parameters associated stimulation delivered to a patient by a neurostimulation device. The method may include determining one or more objective metrics using the patient data for each set of stimulation parameters. The one or more objective metrics may be a quantitative value that represents a rating or score of tremor severity and/or side effect severity. The method may further include generating a patient specific response model using the one or more objective metrics and the associated set of stimulation parameters. The method may also include applying an optimization algorithm to the generated response model to determine a candidate set of one or more stimulation parameters.

Abstract: A method and a system are provided for taking biomarker measurements of patients who have ADHD. Mathematical analysis (e.g., pattern recognition, machine learning and AI algorithms) of the biomarker measurements is used to create a unique personal prediction model and data set for an individual patient. The unique personal data set is used to diagnose and monitor a particular problem of the individual patient associated with ADHD, or to recommend a treatment for a particular problem of the individual patient associated with ADHD, or to predict an outcome of a treatment for a particular problem of the individual patient associated with ADHD.

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 step of extracting components of one or more frequency bands from a first section of an EEG; a step of calculating a first index for each of the components of one or more frequency bands, wherein the first index is calculated based on a degree to which a magnitude of each of the components of one or more frequency bands with respect to a magnitude of a predetermined reference component in the first section exceeds a predetermined threshold value; a step of calculating a probability value for each of one or more patient statuses from the first index for each of the components of one or more frequency bands using a trained artificial neural network; and a step of determining the consciousness level of the patient based on the probability value for each of the one or more calculated patient statuses.

Abstract: A method and system for providing a user with virtual objects within an environment, characterizing interactions with the virtual objects using a brain computer interface, and modulating features of the virtual objects based upon improved classifiers associated with the interactions. The method and system can be used to rapidly customize virtual objects to a specific user in applications related to increasing engagement with traditional and new media content, virtual and augmented reality products, streamlining interactions with input devices in digital and physical environments, providing user authentication tools, providing more secure cybersecurity features, and delivering tailored content to users.

Abstract: Embodiments for managing user concentration in a work environment are described. Information associated with a user is received. At least one characteristic of a task of the user is identified based on the information associated with the user. A concentration risk level associated with the user performing the task is determined based on the at least one characteristic of the task. A computing environment associated with the user performing the task is provided based on based on the concentration risk level.

Abstract: A phototherapy or BRT process and apparatus is provided, which, using a pre-recorded bioresonance frequency or compilation of frequencies, causes an EMR emitter to emit within a biological window of a target organism to positively or negatively affect the organism. The EMR may be generated in one or more LEDs by a device connected to a controller of the EMR emitter which device provides the pre-recorded bioresonance frequency or compilation of frequencies to control the LEDs' emitted light in terms of its intensity and/or a frequency or flicker-rate.

Abstract: An exemplary embodiment providing one or more improvements includes apparatus and methods for sensing electrical activity in tissue of a person in a manner which is substantially limits or eliminates interference from noise in a surrounding environment.

Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.

Abstract: A method implements content selection using psychological factors. A person vector is generated from a record. The person vector identifies a set of data representing a person. A psychological factor vector is generated from a content of a plurality of content. The psychological factor vector identifies a set of psychological factors from the content. The person vector and the psychological factor vector are combined to generate an input vector. An action score is generated from the input vector. The action score identifies a probability of an action on the content by the person. The content is selected from the plurality of content using the action score. The content is presented.

Abstract: A method, computer system, and a computer program product for managing a plurality of electronic devices controlling access to one or more hazards in a physical environment. The present invention may include detecting a plurality of brain-wave patterns associated with a user. The present invention may then, in response to detecting motion of the user and the plurality of brain-wave patterns associated with the user matching a pattern, include operating at least one electronic device to disable access to a corresponding hazard. The present invention may further include operating the at least one electronic device to enable access to the corresponding hazard based on receiving input from the user to enable the at least one electronic device, wherein the input being received from the user is in response to prompting the user to correctly respond to a question previously answered by the user.