95 results about "Alertness" patented technology

Systems, devices and methods are provided for stimulating one or more nerves within a user. A system comprises stimulator having an electrode configured for contacting the outer skin surface at a target location and an energy source coupled to the stimulator, The energy source is configured to generate at least one electrical impulse and to transmit the electrical impulse transcutaneously from the electrode through the outer skin surface of the user to a selected nerve in the user. In certain aspects, the systems and methods are particularly useful for non-medical purposes, such as reducing stress and anxiety, enhancing relaxation, improving sleep, energy, concentration and mood, increasing mental or physical performance, promoting mental health, recovery and wellness, generally improving the health and wellbeing of a user and / or for temporarily or permanently improving intelligence, learning capacity, memory retention, recall, mood, alertness and / or sleep efficiency in human beings.

The invention discloses a multi-modal fusion alertness assessment method and system based on cross attention, and the method comprises the steps: carrying out the preprocessing of an original electroencephalogram signal of a user, and extracting a time-frequency domain-space feature # imgabs0 #; using a depth separable convolution module and an LSTM module to extract an electroencephalogram modal time dependency relationship feature # imgabs2 from the time-frequency domain-space feature # imgabs1 # in sequence; the method comprises the following steps: preprocessing an original electro-oculogram signal of a user to extract an eye movement feature # imgabs3 #, and obtaining an eye movement modal internal relation feature # imgabs5 # from the eye movement feature # imgabs4 # by using an outer product module and a CNN module in sequence; and performing multi-modal fusion on the electroencephalogram modal time dependency relationship characteristic # imgabs6 # and the eye movement modal internal relationship characteristic # imgabs7 # based on cross attention to obtain a fusion characteristic # imgabs8 #, and performing regression to obtain an alertness prediction result # imgabs9 # of the user. According to the method, intra-modal feature extraction and multi-modal feature fusion are respectively carried out on different information sources, so that the robustness and generalization of the features are improved, and the accuracy of alertness assessment is improved.

The invention discloses a real-time fatigue monitoring system based on an EEG signal, and relates to the technical field of neural regulation and control, and the system comprises a chaos reconstruction module which collects an original EEG signal, carries out the phase-space reconstruction of the original EEG signal through a chaos attractor processor, generates a chaos trajectory tensor, and carries out the phase-space reconstruction of the original EEG signal when the Lyapunov index of the chaos trajectory tensor exceeds a preset index threshold value, outputting a low-speed frequency band oscillation component and a high-speed frequency band oscillation component; and the closed-loop termination module is used for terminating the physical light field projection when the continuous detection periods of the updated alertness drop probability value, cognitive overload probability value and physiological fatigue probability value are all lower than a preset safety threshold value. Through multi-scale recursion phase space reconstruction, an original EEG signal is mapped to a three-dimensional chaotic trajectory tensor space, and dynamic frequency band decoupling is triggered by using a Lyapunov exponent threshold.

The invention discloses an intelligent driving fatigue evaluation method and system, and relates to the technical field of automobile safety, and the method comprises the steps: obtaining the physiological data of a driver in a driving scene; the physiological data comprises myoelectricity data, heart rate data and respiratory rate data; calculating a driving fatigue evaluation index according to the physiological data; the driving fatigue evaluation indexes comprise physical load, alertness and cognitive load; and according to the driving fatigue evaluation index, calculating a fatigue driving comprehensive evaluation index by adopting a weight method. According to the method, psychological fatigue and physiological fatigue are comprehensively considered, and from three dimensions of physical load, alertness and cognitive load, indexes such as an electromyographic signal root-mean-square value, an electromyographic signal integral value, a heart rate mean value, a root-mean-square value of a whole-course adjacent NN interval difference, a ratio of heart rate variability low-frequency power to heart rate variability high-frequency power and heart rate breathing cross consistency are synthesized; the driving fatigue evaluation is carried out by adopting a weight method, so that the accuracy and objectivity of the driving fatigue evaluation can be effectively improved.

The invention provides a cognitive function evaluation method based on neurovascular coupling analysis. The method comprises a signal preprocessing step, a signal processing step, a feature extraction step and a coupling coefficient calculation step. A new normal form of cognitive evaluation is constructed from nerve-blood vessel coupling and cross-system cooperation dimensions, and accurate description of a cognitive state is realized through real-time quantification of a dynamic cooperation effect of brain nerve activity (EEG) and blood flow regulation (CBP variability) and establishment of an association relationship between a dynamic cooperation index and cognitive ability (alertness, reaction speed and memory). And a new objective basis is provided for the fields of plateau medicine, intelligent health, neurological and mental disease diagnosis and treatment and the like.

The invention discloses a driver alertness prediction method based on electroencephalogram signals and a related device, and relates to the technical field of alertness prediction.The method comprises the steps that a time-space cross multi-head attention module is designed, and the time-space cross multi-head attention module comprises an Input Embedding module, an Inception module, a first summation module, a second summation module and a time-space fusion module; after electroencephalogram signal data in the driving process of a driver is obtained, feature extraction is conducted on the electroencephalogram signal data, electroencephalogram signal features are obtained, the electroencephalogram signal features comprise space-time fusion features, and the space-time fusion features are features obtained by conducting feature extraction on the electroencephalogram signal data through a space-time cross multi-head attention module; subsequently, the electroencephalogram signal features serve as input, and the alertness of the driver in the driving process is determined through the trained alertness prediction model. The method can improve the accuracy of predicting the alertness of the driver.

The invention discloses a safety supervision method and system for Internet rehabilitation nursing, and relates to the technical field of Internet medical treatment, and the method comprises the steps: building a dynamic space-time causal graph model based on collected data, defining a propagation path between nodes according to a biomechanical causal chain, and limiting a feature propagation time sequence through a causal time sequence verification layer; dynamically generating a gradient mask matrix based on the physiological rhythm represented by the heart rate variability data, and adjusting the gradient weight of the reinforcement learning strategy network by using the gradient mask matrix; in combination with electroencephalogram alertness wave signals and equipment torque parameters, performing cross-modal anomaly collaborative judgment through the adjusted reinforcement learning strategy network by utilizing a manifold envelope dynamic contraction mechanism; if it is judged that the cross-modal abnormity occurs, a dynamic safety threshold value is generated based on the electromyographic signals and patient individualized parameters, and switching of control modes of the rehabilitation equipment is driven according to the dynamic safety threshold value.

The invention provides an automatic safe driving cross-scene alertness detection method and device based on EEG analysis, and relates to the technical field of intelligent driving. The embodiment of the invention provides an automatic safe driving cross-scene alertness detection method based on EEG analysis, and the method solves the problem that the number of channels among different EEG devices is inconsistent by utilizing the capability of reconstructing the EEG information of a plurality of real channels of a pre-trained alertness detection network. The alertness detection network after fine tuning can reconstruct missing EEG information according to input EEG information of a small number of channels and corresponding brain region information, and a classification task is completed based on the reconstructed information.

The invention discloses a system for evaluating the cognitive function of a subject based on fNIRS and an interaction method. The head cap and the near-infrared light emitting / receiving probe in the system enable the imaging range to cover the frontal lobe, the temporal lobe and the occipital lobe; the cognitive assessment normal form interaction device sequentially executes a suppression control assessment normal form, an alert attention assessment normal form, a selection attention assessment normal form, a core attention network assessment normal form, a work memory assessment normal form and a cognitive control assessment normal form in a single block mode according to an execution sequence from simple to difficult; the signal acquisition device cooperatively acquires near-infrared brain function imaging time sequence data in the sequential execution process of each evaluation normal form; the processing device evaluates the cognitive function of the subject on the basis of the near-infrared brain function imaging time series data and behavioral data generated on the basis of the evaluation normal form. According to the method, the brain function data of more dimensions associated with the cognitive function can be acquired in a short time, and multi-angle evaluation and analysis on the cognitive function of the subject can be conveniently and clinically performed based on the fNIRS.

The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

Methods, systems, and devices for providing physiological state-related insights associated with a user are described. A method includes receiving physiological data associated with the user from at least one wearable device, the physiological baseline providing reference user alertness data. The method further includes obtaining a physiological baseline associated with the user based at least in part on the baseline physiological data associated with the user, the physiological baseline providing reference user alertness data. The method further includes receiving additional physiological data associated with the user from the at least one wearable device. The method further includes obtaining current user alertness data based at least in part on the additional physiological data associated with the user. The method further includes identifying a trigger condition for providing a physiological state-related insight associated with the user relating to a traveling event involving at least one vehicle based at least in part on a comparison between the current user alertness data and the reference user alertness data. The method further includes causing a user device to provide the physiological state-related insight associated with the user.

A device relating to a floater for use by a non-swimmer for buoyancy comprising a floating flatbed with coded descriptions (lateral ends: front end 14, back end 12) and a plurality of paired straps with buckles (20,22) to secure the floater flatbed (10) fixed in the swimmer’s body. This is designed to keep the non-swimmer afloat while concentrating on their hand and leg exercises. The floating flatbed is wrapped either at the upper limbs posterior or anterior portion of the body; a webbing belt with safety mechanisms buckled around the body which can be fixed at the levels; waist, abdominal, and upper back (posterior) or chest part (anterior). An adjustable strap is buckled across shoulders (24, 26) to fasten the device in place below the jaw with a plane surface of a floater which allows use purposely for either supine or prone floating mechanics fundamental in learning the basic skills for any appropriate floating position. Apparently, problems like drowning and other water accidents happen in just any part of the globe usually caused by panic and water anxiety. The device contains characteristics easy for use by non-swimmers at any age level for water safety and training device for non-swimmers particularly those who manifest water anxiety. Acquired skill in floating somehow creates mental alertness as a greater opportunity for survival during atrocities.

The present disclosure relates to non-therapeutic uses of compounds or combinations thereof to increase cognitive performance, alertness and / or energy levels of a human or animal, as well as an oral product comprising said compounds or combinations thereof.

The present application discloses a system and interactive method for evaluating the cognitive function of a subject based on fNIRS. The head cap and near-infrared light emitting / receiving probe in the system enable the imaging range to cover the frontal lobe, temporal lobe, and occipital lobe; the cognitive assessment paradigm interactive device sequentially executes the inhibitory control assessment paradigm, the alert attention assessment paradigm, the selective attention assessment paradigm, the core attention network assessment paradigm, the working memory assessment paradigm, and the cognitive control assessment paradigm in a single-block mode in an order of execution from simple to difficult; the signal acquisition device collaboratively collects near-infrared brain function imaging time series data during the sequential execution of each assessment paradigm; the processing device evaluates the cognitive function of the subject based on the near-infrared brain function imaging time series data and the behavioral data generated based on the assessment paradigm. The present application can obtain brain function data of more dimensions associated with cognitive function in a relatively short period of time, which is convenient for clinical evaluation and analysis of the cognitive function of the subject from multiple angles based on fNIRS.

In an illustrative embodiment, systems and methods for treating stress and / or for improving alertness in a subject using neurostimulation therapy include placing first electrode(s) on, over, or adjacent to an auricular branch of the vagus nerve, placing second electrode(s) on, over or adjacent to an auriculotemporal nerve, and delivering therapeutic stimulation pulses via the first electrode(s) and the second electrode(s) by delivering a first series of stimulation pulses to the first electrode(s), the first series configured to increase activity in neural medullary structure(s), and delivering a second series of stimulation pulses to the second electrode(s), the second series configured to increase activity in neural structures within the Trigeminocervical Complex.

An alertness detection device according to the present invention includes an alertness acquisition unit (131) that acquires alertness of a driver calculated from a facial image including a face of the driver of a vehicle, a viewing direction acquisition unit (132) that acquires a viewing direction including a line-of-sight direction or a facial direction of the driver calculated from the facial image, a vicinity information acquisition unit (133) that acquires vicinity information indicating a situation in a vicinity from a vicinity detection device that detects the situation in the vicinity of the vehicle, an attention level estimation unit (134) that estimates an attention level of the driver in the situation in the vicinity on the basis of the viewing direction that is acquired and the vicinity information that is acquired, and a correction unit (135) that calculates a corrected alertness by correcting the alertness that is acquired using the attention level that is estimated, and outputs the corrected alertness that is calculated.

The invention provides a method for identifying subject decision confidence through a decision self-confidence data acquisition normal form. The method comprises the steps of decision self-confidence data acquisition and alertness data acquisition. The decision-making self-confidence degree data acquisition is characterized in that electroencephalogram and eye movement data of three decision-making self-confidence degrees of a subject are acquired through three sub-experiments; the alertness data acquisition comprises the step of acquiring electroencephalogram and eye movement data of the alertness of a subject in an interval time period of acquiring decision self-confidence degree data; the alertness acquisition part is used for acquiring electroencephalogram and eye movement data of a subject before a mark appears as alertness data of the subject by using the mark appearing at a random interval time; and finally, performing multi-modal decision fusion, namely performing preprocessing, feature extraction and classification processing on the data of the electroencephalogram mode and the eye movement mode, and synthesizing final classification results to obtain a decision confidence recognition result.

This invention discloses a method for assessing sleep quality based on multimodal features in a waking state, comprising: S1, guiding subjects to complete a sleep quality scale, collecting pulse wave signals, facial thermal images, and corresponding temperature matrices of subjects in a resting state, and conducting a psychological alertness task test; S2, extracting heart rate, heart rate variability, and pulse wave morphology features from the pulse wave signals; S3, identifying key points on the face, determining regions of interest, and extracting facial temperature features; S4, analyzing the acquired psychological alertness task test data, statistically analyzing and extracting reaction time and attention maintenance-related indicators; S5, constructing a training dataset; S6, using the training dataset to train a classifier and construct a sleep quality classification model; S7, inputting the multimodal features collected from new users in a waking state into the sleep quality classification model and outputting the assessment results. This invention provides a method for assessing sleep quality in a daytime waking state.

The invention provides an information provision system, an information provision method, and a computer program product, which can suppress the occurrence of excessive alert and insufficient alert when a user riding on a moving body is alerted through an HMI using an intelligent agent. An information provision system (1) is provided with: a user state recognition unit (11) that recognizes the state of a user (U) riding on a moving body (100); a user emotion estimation unit (12) that estimates the emotion level of the user (U) from a prescribed index value on the basis of the recognition result of the state of the user (U); and a smart agent control unit (13) that provides the user (U) with an HMI that uses a personified smart agent and performs voice output in a pattern corresponding to an emotion level based on a prescribed index value of the smart agent. When the emotion level of the user (U) estimated by the user emotion estimation unit (12) is within a predetermined determination range, the smart agent control unit (13) controls the emotion level of the smart agent to a target level for changing the emotion level of the user (U) outside the determination range.

A method for estimating alertness of a human body is provided. The method comprises the following steps: acquiring a bio-electricity signal of a human body; based on the bio-electricity signal, obtaining characteristic data of the bio-electricity signal for estimating the alertness of the human body; and estimating the alertness value of the human body by using a regression neural network based on the feature data of the bio-electricity signal.

The application relates to a method and system for determining the front distance of a work zone warning sign, the method comprising: obtaining eye movement and electroencephalogram test data, processing the eye movement and electroencephalogram test data; establishing a matter element comprehensive evaluation model, inputting the processed eye movement and electroencephalogram test data into the matter element comprehensive evaluation model, and obtaining an evaluation grade and a corresponding characteristic value; and determining the front distance of the work zone warning sign according to the evaluation grade and the corresponding characteristic value. The method determines the effective front distance range of the work zone warning sign from the perspective of the change of the driver's alertness, constructs a comprehensive evaluation model based on matter element analysis to determine the time for maintaining the driver's alertness, and thus obtains the reasonable front distance of the work zone warning sign, which is helpful for the reasonable setting of the work zone warning sign.

For example, a method includes obtaining sensor data depicting movements of facial features of a user who is present in a location in which a media item is being presented, calculating, using the sensor data, an alertness score for the user, determining the alertness score falls below a predefined threshold alertness score, starting, in response to determining that the alertness score falls below the predefined threshold alertness score, a timer while continuing to calculate the alertness score for the user using newly obtained sensor data, determining that the alertness score for the user using the newly obtained sensor data has failed to meet the predefined threshold alertness score before an expiration of the timer, and taking, in response to the alertness score for the user using the newly obtained sensor data failing to meet the predefined threshold score before expiration of the timer, an action associated with the media item.

The present invention relates to a composition for inhalation, and more particularly, to a composition for inhalation, the composition for inhalation for enhancing alertness and vigor according to an embodiment comprising: caffeine; and a reinforcing agent comprising one or more elements selected from the group consisting of glucose and magnesium.

In an illustrative embodiment, systems and methods for treating stress and / or for improving alertness in a subject using neurostimulation therapy include placing first electrode(s) on, over, or adjacent to an auricular branch of the vagus nerve, placing second electrode(s) on, over or adjacent to an auriculotemporal nerve, and delivering therapeutic stimulation pulses via the first electrode(s) and the second electrode(s) by delivering a first series of stimulation pulses to the first electrode(s), the first series configured to increase activity in neural medullary structure(s), and delivering a second series of stimulation pulses to the second electrode(s), the second series configured to increase activity in neural structures within the Trigeminocervical Complex.

Nutraceutical compositions and the methods for promoting wakefulness and alertness by the administration thereof. The nutraceutical compositions address the challenged state of the individual to remain awake and alert during waking hours. The methods provide the nutraceutical composition directly to the cells in the brain and body where energy is produced and utilized. A nutraceutical composition includes a therapeutically effective amount of Vitamin B1, Vitamin B2, Vitamin B3, Vitamin B5, Vitamin B6, Vitamin B12, citicoline sodium, calcium pyruvate, and L-tyrosine, wherein said therapeutically effective amount promotes wakefulness by providing molecular support for glycolysis, Krebs cycle reactions, and electron transport chain (ETC) activity. The composition can further include Vitamin C and caffeine.

The present disclosure relates to methods and system for acquiring and analyzing biosignals or physiological signals of a person sitting in a vehicle and predicting (in real-time) time-varying attention, engagement level or alertness level using the biosignals. The biosignals may be acquired using one or more clusters of electrodes together with a wearable user device or from a sensing device that is embedded in the seat of the vehicle. In some embodiments, the biosignals may be utilized to predict restedness level of the subject, to monitor or predict physiological state of the subject, to detect a distress situation and to adapt a vehicle control accordingly. In some other embodiments, the biosignals can be transformed into communication, for example, speech signals or instructions for the vehicle. One or more actions may be triggered based on the analysis of the biosignals including engaging the person, generating alerts, or adapting the vehicle control.

The invention discloses a dynamic brain network analysis system for a sleep deprivation injury alertness attention mechanism, and relates to the technical field of medical image processing and analysis. The method comprises the following steps: collecting data of a sober-up state and after 24 hours of sleep deprivation of a subject; a dynamic graph theory method is adopted, dynamic brain network analysis is carried out on resting state functional magnetic resonance data, and brain network changes in a waking state and a sleep deprivation state are studied; the method specifically comprises the steps of collecting fMRI and mental movement alertness task data of a subject in different states, preprocessing image data, calculating a static function connection matrix, and analyzing time-varying function connection by using a sliding window technology; through modular analysis and a time co-occurrence matrix, time flexibility, space-time diversity and normalization centrality are calculated, dynamic space-time characteristics of a brain region are evaluated, and dynamic influences of sleep deprivation on a brain network are compared by using a statistical method.

This disclosure provides compositions and methods for improving human cognitive function, mood, and / or arousal. In one embodiment, the method comprises administering an edible composition to a person in need of improvement in condition, the composition comprising a combination of gamma-aminobutyric acid and caffeine. The edible composition has a weight ratio of total gamma-aminobutyric acid to total caffeine of about 1:50 to about 10:1.

To provide an arousal level measurement method that identifies the occurrence order of specific ocular and pupillary movements that appear with a decrease in arousal, and determines the arousal level.SOLUTION: An arousal level measurement method measures changes in eye movement and pupil diameter by performing ocular and pupillary measurements, detects, as an ocular alertness index (Ocular Alertness Index) for evaluating arousal, a shortening of intersaccadic intervals (Frequent saccade), a decrease in peak saccadic velocity (Slow saccade), slow fluctuations in eye position (Slow eye movement), and the co-occurrence (Div-mio) of divergence contrary to the near reflex (Divergence) and miosis (Miosis), and evaluates the decrease level of arousal on the basis of the occurrence order of the ocular alertness indices.SELECTED DRAWING: Figure 14