Abstract: This accessory adapts external cardiac defibrillation systems to enable safe defibrillation, pacing, and cardioversion inside the MRI bore with minimal effect on MR image quality. Commercially available external defibrillators are not designed to work in the MRI environment. An MR-compatible defibrillator is needed to safely perform cardiovascular MRI, in particular MR-guided interventional cardiovascular procedures, such as cardiac electrophysiology studies and cardiac catheterization. This accessory includes nonmagnetic defibrillator housing with MRI safety features, provides interface for MRI-compatible physiological monitoring, and optimizes defibrillator operation for the MRI environment. The accessory may include MRI-compatible modules for monitoring/recording electrocardiogram, blood pressure, pulse oximetry, and other physiological signals. It may also include a wireless transmitter and at least one module for electrical energy generation and/or stimulation.

Abstract: A brain-machine interface system configured to decode neural signals to control a target device includes a sensor to sample the neural signals, and a computer-readable storage medium having software instructions, which, when executed by a processor, cause the processor to transform the neural signals into a common representational space stored in the system, provide the common representational space as a state representation to inform an Actor recurrent neural network policy of the system, generate and evaluate, utilizing a deep recurrent neural network of the system having a generative sequence decoder, predictive sequences of control signals, supply a control signal to the target device to achieve an output of the target device, determine an intrinsic biometric-based reward signal, from the common representational space, based on an expectation of the output of the target device, and supply the intrinsic biometric-based reward signal to a Critic model of the system.

Abstract: A method for operating a cognitive monitor includes measuring a cognitive tone of a user, determining a categorization of the cognitive tone of the user, selecting an effector using the categorization of the cognitive tone of the user, and applying the at least one effector using a feedback mechanism of the cognitive monitor. The effector is selected to achieve a predicted future cognitive tone in the user.

Abstract: A bioamplifier for analyzing electroencephalogram (EEG) signals is disclosed. The bioamplifier includes an input terminal for receiving an EEG signal from a plurality of sensors coupled to a user. The bioamplifier also includes an analogue-to-digital converter arranged to receive the EEG signal from the input terminal and convert the EEG signal to a digital EEG signal. A data processing apparatus within the bioamplifier is arranged to receive the digital EEG signal from the analogue-to-digital converter and programmed to process, in real time the digital EEG signal using a first machine learning model to generate a cleaned EEG signal having a higher signal-to-noise ratio than the digital EEG signal. The bioamplifier further includes a power source to provide electrical power to the analogue-to-digital converter and the data processing apparatus. The bioamplifier includes a housing that contains the analogue-to-digital converter, the data processing apparatus, the power source, and the sensor input.

Abstract: A system is disclosed for providing an abstractive summary of a source textual document. The system includes an encoder, a decoder, and a fusion layer. The encoder is capable of generating an encoding for the source textual document. The decoder is separated into a contextual model and a language model. The contextual model is capable of extracting words from the source textual document using the encoding. The language model is capable of generating vectors paraphrasing the source textual document based on pre-training with a training dataset. The fusion layer is capable of generating the abstractive summary of the source textual document from the extracted words and the generated vectors for paraphrasing. In some embodiments, the system utilizes a novelty metric to encourage the generation of novel phrases for inclusion in the abstractive summary.

Abstract: The proposed invention relates to a mobile device and methods for acquisition of biophysiological signals for the purpose of assessing mental states. The said mobile device is embedded into wireless headset that comprises headphones. The mobile device comprises sensors for biophysiological signal acquisition, including, but not limited to, electroencephalographic (EEG) signals, pulse oximetry, heart rate, body temperature and electrodermal activity. Furthermore, the device also measures environmental factors, including, but not limited to, ambient light and sound from the environment. The mobile device administers sound and visual stimuli to the user. The said biophysiological signals, after being processed, are used to assess mental states of the user (emotional states and cognitive processes). Furthermore, the intensity of the said mental states can be maintained at the same level, enhanced or weakened or fully modified using visual or sound stimuli.

Abstract: A method for adjusting a driving control authority of a vehicle includes: generating stimulation for a driver using a stimulation generator; measuring a driver reaction signal in response to the generated stimulation using a measurement device; processing the measured driver reaction signal using a signal processor; determining a driver state based on the processed driver reaction signal using a determiner; and adjusting the driving control authority of the vehicle according to the determined driver state using a vehicle controller.

Abstract: Disclosed are methods of predicting the risk of developing a neurological disorder in a mammalian subject and methods of use of this profile for providing neuroanalytical services for an end user. Also disclosed is a system comprising a processor and a memory having a neurodiagnostic algorithm and plurality of data sets, the processor being capable of reading the data sets, executing the neurodiagnostic algorithm, and deriving a risk profile therefrom.

Abstract: A wireless monitoring system that provides reliable wireless data transmission during patient table (bed) movement. The system makes use of at least one wireless antenna linked to the patient table to provide substantially continuous, unobstructed communication regardless of the patient table's position and the movement of medical personnel around the table. The system also utilizes adaptive filtering of electromagnetic interference, signal conditioning, and detection of cardiac-activity waveforms, providing means for adjusting signal-processing parameters to the specific features of electromagnetic interference and cardiac waveforms.

Abstract: An information processing device includes a receiver that receives a specification of a desired brain wave state of a user, and a controller that controls playback of music causing a brain wave state of the user to transition to or maintain the desired brain wave state.

Abstract: Disclosed is an apparatus and method of monitoring a VR (Virtual Reality) sickness prediction model for virtual reality content. A method of monitoring a VR sickness prediction model according to the present disclosure includes: displaying the virtual reality content on a display unit; acquiring an user input; analyzing the virtual reality content on a basis of the acquired user input; and displaying an analysis result for the virtual reality content on the display unit.

Abstract: Methods, apparatus and systems for geometric matching of virtual reality (VR) or augmented reality (AR) output contemporaneously with video output formatted for display on a 2D screen include a determination of value sets that when used in image processing cause an off-screen angular field of view of the at least one of the AR output object or the VR output object to have a fixed relationship to at least one of the angular field of view of the onscreen object or of the 2D screen. The AR/VR output object is outputted to an AR/VR display device and the user experience is improved by the geometric matching between objects observed on the AR/VR display device and corresponding objects appearing on the 2D screen.

Abstract: A medical device may receive sensor data from sensing sources, and determine confidence levels for sensor data received from each of the plurality of sensing sources. Each of the confidence levels of the sensor data from each of the sensing sources is a measure of accuracy of the sensor data received from respective sensing sources. The medical device may also determine one or more therapy parameter values based on the determined confidence levels, and cause delivery of therapy based on the determined one or more therapy parameter values.

Abstract: A bioelectrical signal controlled exercise machine system for allowing an exerciser to control the state of an exercise machine and exercise environment. The bioelectrical signal controlled exercise machine system generally includes an exercise machine, a bioelectrical sensor device and a control unit in communication with the bioelectrical sensor device and the exercise machine. The control unit is adapted to receive data from the bioelectrical sensor device relating to measured bioelectrical signals of the human exerciser, and wherein the control unit transmits a control signal to the exercise machine to change the state of the exercise machine based on the data from the bioelectrical sensor device.

Abstract: A brain machine interface (BMI) for improving a performance of a subject is provided. The BMI has two decoders that act in real-time and in parallel to each other. The first decoder is for intention execution of a subject's intention. The second decoder is for error detection in a closed-loop error fashion with the first detector and to improve the performance of the first detector. Embodiments of this invention may enable an entirely new way to substantially increase the performance and robustness, user experience, and ultimately the clinical viability of BMI systems.

Abstract: The present invention relates to a rehabilitation system (10) for a patient (24) suffering from a damaged muscle and/or nerve, said system (10) comprising: a brain activity sensor (14) for measuring a patient's brain activity related to controlling the damaged muscle and/or nerve; —a muscle sensor (18) for measuring a muscular activity of the damaged muscle and/or a neural activity of the damaged nerve; a display (22) for displaying a representation (34) of an affected body part of the patient (24); and a control unit (20) for determining an intended movement of the affected body part in which the damaged muscle and/or nerve is arranged, and for controlling the display (22) to display a representation (36) of the intended movement, wherein the control unit (20) is configured to determine the intended movement based on the patient's brain activity measured by the brain activity sensor (14) and based on the muscular and/or neural activity of the damaged muscle and/or nerve measured by the muscle sensor (18).

Abstract: A system and method for diagnosing mental or emotional disorders is disclosed. An affective BCI component is incorporated into a closed loop, symptom—responsive psychiatric DBS system. A series of input data related to a brain of the patient is acquired while the patient performs a battery of behavioral tasks. From the patient's performance on the task battery, the system identifies what is abnormal for that individual patient in terms of functional domains. Patient-specific behavioral measurements are then linked to patterns of activation and de-activation across different brain regions, identifying specific structures that are the source of the patient's individual impairment.

Abstract: There is provided a stress management system that manages psychological stress of a user. The system includes: a first sensor that detects biological data of a user; a second sensor that detects life log data indicating an activity history of the user; a generator that generates stress data using the biological data, the stress data indicating a time series variation in a stress level of the user; an estimator that, when the stress level included in the stress data exceeds a threshold value, estimates whether or not stress experienced by the user is interpersonal stress that is caused by contact with other people, using the life log data; and a notifier that notifies the user of a result of the estimation by the estimator.

Abstract: The invention relates to a self-contained device (1) for stimulating slow brain waves, capable of being worn by a person (P), in particular during a period of time when said person is sleeping. The device (1) comprises a supporting element (2), capable of surrounding the head of a person, and on which electrodes (3) are mounted in contact with the person in order to acquire a measurement signal that represents a physiological electrical signal of the person; an acoustic transducer (4) for emitting an acoustic signal (A) stimulating the inner ear of the person; and on-board conditioning and control electronics (5) for, in flexible real time, receiving the measurement signal and controlling the emission of an acoustic signal (A) synchronised with a predefined slow brain wave time pattern.

Abstract: Methods and systems are provided for triggering electrical stimulation of a spinal cord during execution of a motor event. In one example, a method comprises monitoring motor cortex activity while execution of a desired motor movement is attempted during a first mode where one or more nerve fibers are not stimulated, and during a second mode where the one or more nerve fibers are stimulated. Delivery timing of electrical stimulation may be closed-loop controlled based on current motor cortex activity and the motor cortex activity recorded previously during both the first and second modes.

Abstract: Provided is an apparatus, system, and method for targeted memory enhancement. A computer processing circuit receives a plurality of electroencephalography (EEG) signals from a plurality of spatially separated EEG sensors located on the head of a subject that is asleep. A first process of the computer processing system determines a sleep state of the subject and upon determining that the subject is in sleep stage 2 or 3 based on a specific EEG signal, the processing system triggers a second process of the computer processing system that determines a transition event in the specific EEG signal, and upon detecting the transition event delivers an intervention to the subject designed to evoke a specific neurophysiological change to the subject.

Abstract: Systems and methods are provided for evaluating an alarm condition for a monitored patient in a population of one or more patients. One or more physiological parameters pertaining to the patient, or physiological variables, are used to form a time series describing the patient status. A dimension parameter such as a time series roughness statistic or a fractal dimension is used to estimate a dimension decision statistic over time. The dimension decision statistic is used as a measure of physiological condition. The dimension decision statistic may be compared to a threshold to determine a region of operation for the dimension of the physiological variable. The dimension decision statistic is used in an embodiment in combination with the underlying raw physiological variable value to reduce the rate of false alarms, to increase the frequency of missed detections, and to aid diagnostic decision making and to aid the formation of a crisis action plan.

Abstract: A device to provide three-dimensional (3D) depictions of health of human organs of a user relative to the user's age based on sensed biometrics of the user. The device may comprise one or more processors; one or more databases in communication with the one or more processors and having a plurality of three-dimensional (3D) depictions of each of one or more human organs stored therein. The plurality of 3D depictions of each of the one or more human organs define a set of base images of the respective human organ, each set of base images configured to include a plurality of base images of the respective human organ at each of a plurality of different ages, the plurality of base images of the respective human organ at each of the plurality of different ages configured to include one or more depictions of the respective human organ at the respective different age at each of a plurality of health levels among a range of health levels, each of the plurality of health levels configured to indicate health risk.

Abstract: A computerized interactive method, system and computer program product is provided for managing a person's health and lifestyle through self-managing controlled notifications, feedback, and alerts are disclosed. Embodiments provide computerized self-management and compliance scheme that does not require third party intervention or treatment options typical with immediate-response or alert-based systems. Monitoring, notification, and alert parameters can be partially or wholly self-managed using a graphical user interface or computerized device interface to enable two-way communication between the person and at least one computer server.

Abstract: Methods, systems, and apparatus for determining probabilistic measures of seizure activity (PMSA) values based on a plurality of seizure detection algorithms and/or body signals used as inputs by the seizure detection algorithms. Use of the PMSA values to detect seizure activity based on a consensus of the algorithms and/or body signals, and/or warn, log, administer a therapy, or assess the efficacy of a therapy.

Abstract: An emotion identification device includes: a first detection unit which detects a central nervous system reaction of a user; a second detection unit which detects an autonomic nervous system reaction of the user; and an identification unit which identifies aggressiveness in anger of the user based on the central nervous system reaction and the autonomic nervous system reaction.

Abstract: A method for reducing discomfort when viewing virtual reality (VR) content for use in head mounted displays (HMDs). The method includes accessing a model that identifies a plurality of learned patterns associated with the generation of corresponding baseline VR content that is likely to cause discomfort. The method includes processing a first application to generate data associated with simulated user interactions with first VR content of the first application. The method includes comparing the data to the model to identify a pattern in the data matching at least one of the learned patterns, such that the identified pattern is likely to cause discomfort. The method includes identifying a zone in the first application corresponding to identified pattern. The method includes applying a discomfort reduction filter effect within the zone for purposes of reducing potential discomfort in a user.

Abstract: A method, system and computer readable media for a BMI using a fixed decoder based on ratios of different frequency bands, making the decoder robust, less jittery, and resistant to artifacts. The fixed decoder can be configured to use a limited subset of available channels. The decoder can therefore be optimized for each human subject (frequency bands to use, ratios to process the received signals, which channels, weights, etc.) and then fixed. Output from the fixed decoder can be provided to a training program that implements specific feedback and training parameters, thereby enabling subjects to learn to control devices rapidly, as well as consolidate this control. The training program provides continuous feedback of the current transformation being output by the fixed decoder in conjunction with feedback of the past transformations (e.g., up to a second before) and saliency of the feedback when goals of the task are achieved.

Abstract: A system is described that observes a signal from a subject of interest, converts the signal to an electrical representation, uses the electrical representation to compute a synthetic control signal, and applies the synthetic control signal to control some aspect of operation of the subject. The procedure used to generate the synthetic control signal involves subjecting the electrical representation of the observed signal to random noise, allowing the extrema of the electrical representation to move, and obtaining a converged solution as the synthetic control signal.

Abstract: Aspects of the present disclosure provide a product configured to obtain biological signals associated with a user. The biological signals may be used to trigger the product of an upcoming, separate command. The product may take action based on the received command. As described herein, the biological signals may comprise a change in electrical potential of a user, such as an EMG, EEG, or EOG signal. The separate command may be other biological signals, a voice command, or a gesture. The product may be configured to control itself and/or a device external to the product.

Abstract: Embodiments related to a self-administered, behavior modification program facilitated through a structured tailoring method and system thereof which accelerates and enhances the internalization process of the individual, and which provides help when the individual begins to fail in adhering or continuing with the behavior modification are disclosed. Program instructions that when executed by a processor causes a processor to initiate automatically a schedule of events of a structured tailoring procedure upon entry criteria being met at some unknown time, provide intervention according to the intervention preferences when the adherence criteria for one of the events has not been met, and end automatically the structured collection procedure upon exit criteria being met at some unknown time.

Abstract: Systems and techniques are disclosed for vending machine authorization and customization based on confidences of user identities. One of the methods includes receiving identifying information for a user device, the identifying information being received in response to the user device being within a distance of a vending machine. The vending machine can include sensors that trigger the user device to provide identifying information. A portion of profile information is accessed, portion of profile information indicating a unique identifier assigned to the user device. The portion of profile information is provided to one or more servers that communicate with the vending machine over one or more networks. Preference in formation is displayed via a display of the vending machine, the preference information being maintained by servers and being associated with the unique identifier.

Abstract: A method comprises monitoring inputs to a device from a user, using the user inputs to track an emotional condition of the user, detecting a change in the tracked emotional condition of the user, and in response to detecting the change, using a camera to capture an image of the user and inserting the image into a content item.

Abstract: An electronic system and an audio processing method are provided. The electronic system includes a physiological signal sensor, a processing circuit, an audio processing circuit and an audio output device. The physiological signal sensor is utilized for measuring a physiological signal of a user. The processing circuit is utilized for determining an audio setting according to the physiological signal. The audio processing circuit is utilized for receiving an audio signal and adjusting the audio signal according to the audio setting so as to generate an audio output signal. The audio output circuit is utilized for playing the audio output signal.

Abstract: Apparatus for detecting hypoglycemia or impending hypoglycemia by analysis of an EEG comprises at least one EEG measuring electrode (10) for gathering an EEG signal and a computer (12) for receiving said EEG signals programmed to obtain a plurality of signal components each comprising a different band of frequencies, obtain a measure of the varying intensity of each said component, obtain a long time estimate of the mean of each intensity measure, obtain a long time estimate of the variability of each intensity measure, normalise each intensity measure e.g.

Abstract: A system and method may be provided for associating bio-signal data (e.g. EEG brain scan data) from at least one user with at least one music data item (e.g. song, or piece of music). By associating bio-signal data, or emotions determined therefrom, with music, the system may establish a data store of music associated with emotions. That database may then be leveraged upon determining that a user is feeling a particular emotion through an EEG scan. When a particular emotion is detected in EEG data of a user, the system may then respond based at least partly on the same or similar emotion being associated with one or more music data items in the system. For example, the system may recommend a particular song associated with the same emotion presently being experienced by the user.

Abstract: Methods, including a method, comprising selecting a plurality of dependent variables relating to each of a plurality of seizures in a patient; selecting a plurality of independent variables, wherein each independent variable comprises a therapy parameter, a therapy delivery parameter, a temporal factor, an environmental factor, or a patient factor; quantifying at least one relationship between each of at least two dependent variables and each of at least two independent variables; and performing an action in response to said quantifying, selected from reporting said at least one relationship, assessing an efficacy of a therapy, assessing an adverse effect of said therapy, providing a therapy modification recommendation, or adjusting said therapy. A medical device system capable of implementing a method. A non-transitory computer readable program storage medium containing instructions that, when executed by a computer, perform a method.

Abstract: Method for processing a brain wave signal (4) obtained from a person using a brain wave detector (5). One or more stimuli are applied to the person in which each of the one or more stimuli comprises a pseudo random noise component modulating the stimulus intensity. A brain wave signal (4) is detected after applying the one or more stimuli. The detected brain wave signal is processed to calculate which of the one or more stimuli is present in the detected brain wave signal using correlation techniques. The pseudo random noise component comprises a pseudo random noise sequence of the class of maximum length sequences, which are further modulated with twice their associated bit frequency.

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: A biological signal display apparatus includes: a stimulation unit which performs stimulation on a living body; a measurement unit which measures an evoked response evoked by the stimulation; a calculator which calculates a feature amount of the evoked response; a display unit; and a display controller which, based on the feature amount calculated by the calculator, displays a bar-shaped image on the display unit, each time when the stimulation is performed, the bar-shaped image corresponding with the evoked response on the display unit.

Abstract: Training methods and apparatus wherein a training environment is activated only when a trainee is in a focused attention state. A brainwave monitor is employed for determining level of attention. The training environment is activated when the level of attention of the trainee is at or above a predetermined attention threshold. Activation of the training environment provides feedback to the trainee that he or she is in a focused attention state, and at the same time provides the incentive to remain in the focused attention state. A focused attention state is important if not required for training/learning success. The method and apparatus may be employed for training individual trainees, as well as for training team member trainees.

Abstract: A neural physiological method and apparatus for keeping the brain in wakefulness, in which the trigeminal nerves on the forehead are stimulated with a mild electrical current neuronal modulating signal of a range of frequencies and amplitudes in combination transmitted to the brain functional site locus coeruleus, resulting in inhabitation of the brain functional site thalamic reticular nucleus such that the thalamic reticular nucleus does not release inhibitory neurotransmitters for blocking the communication pathways between the thalamus and the cortical regions in the brain, keeping the brain in wakefulness.

Abstract: An electrode holding device is described using a headset having a neutral curvature with a radius smaller than a human skull. The headset adapted to provide spring load force against the human skull at the first and the second ends where first and second respective electrode holding panels are attached. The electrode holding panels conform to the human above the ears. The electrode panels are adapted to pivot about pivot points on the ends of the headset. The panels are adapted to contact the human skull under pressure from spring load force generated from the headset bent beyond the neutral curvature of the headset. The headset can in certain examples be further adapted in certain to accommodate an arm having an a third electrode panel that possesses a third electrode assembly, the third electrode assembly adapted to be spring loaded against and in contact with the human forehead.

Abstract: A device for performing EEG which consists of an elastic head strap, electrodes, and a wireless transmitter. The wireless transmitter, which displays indicators of electrode impedance, is secured to a patient using a docking station attached to the head strap at the crown of a subject's head and is placed into electrical communication with the electrodes using conductive thread sewn into the head strap. A simplified user interface comprising graphical elements improves the detection of brain wave patterns.

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: Brain-Machine Interface (BMI) systems or movement-assist systems may be utilized to aid users with paraplegia or tetraplegia in ambulation or other movement or in rehabilitation of motor function after brain injury or neurological disease, such as stroke, Parkinson's disease or cerebral palsy. The BMI may translate one or more neural signals into a movement type, a discrete movement or gesture or a series of movements, performed by an actuator. System and methods of decoding a locomotion-impaired and/or an upper-arm impaired subject's intent with the BMI may utilize non-invasive methods to provide the subject the ability to make the desired motion using an actuator or command a virtual avatar.

Abstract: A method and system for monitoring a signal from a function to record a set of values for each signal monitored; determining for each signal monitored the relative value of the signal being monitored over time; identifying each signal exhibiting a relative value representing a change in a pre-identified direction and each signal exhibiting a relative value not representing a change in the pre-identified direction, wherein each signal is aligned in the same direction relative to the pre-identified direction; dynamically weighting at least one signal monitored; displaying the monitored signals as an aggregate including enhancement of each signal exhibiting a change in the pre-identified direction; and causing a desired change in at least one monitored function based upon feedback of the displayed aggregate signals.

Abstract: A method and system for sound-induced sleep is provided. The method includes detecting brainwave signals of a subject. The method further includes analyzing the brainwave signals to determine a current sleepy state of the subject and selecting a sound in response to the current sleepy state based on a quantified association index between the brainwave signals and acoustical features of the sound. The method further more includes playing the sound to the subject.

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

Abstract: Medical device systems and methods for operating medical device systems conserve energy by efficiently managing computational demands of the systems. Signals from a subject are processed and analyzed and an estimate of a propensity for a subject to have a neurological event is determined. Based on the results of the analysis and the estimate, further analysis may be performed and the estimate may be refined. Succeeding cycles of signal measurement and analysis are scheduled depending on the results of the analysis and the estimate. The schedule may be varied temporally or with regard to the types and intensities of analyzes performed.