164 results about "Mental condition" patented technology

An image processing framework for multi-class classifying a subject into cognitive normal, mild cognitive impairment and Alzheimer's disease (AD) conditions is developed. In one realization of the framework, an AD_Net model, which is an attention-enhanced convolution neural network (CNN) formed by embedding a Convolutional Block Attention Module (CBAM) into a CNN having a Visual Geometry Group 19 (VGG19) architecture, processes an image volume of the subject's brain to generate a plurality of AD_Net feature maps and a first plurality of scores that predict respective likelihoods of the three conditions. To enhance the prediction accuracy, a multilayer perception model formed with a plurality of fully connected layers processes the plurality of AD_Net feature maps and a plurality of influencing factors of AD, such as age, gender, geriatric depression scale score, Mini-Mental State Examination score and clinical dementia rating score, to generate a second plurality of scores that predict the respective likelihoods.

Disclosed herein are system, method, and device embodiments for determining the mental state of a driver using gaze tracking and object detection. Specifically, an Advanced Driver Assistance System may determine if the driver's gaze is associated with spatial locations of objects of interest in the surrounding environment. The surrounding environment may be represented with a 360-degree, three-dimensional model generated by the external-facing cameras and other sensors. The driver's gaze direction may be represented by a heatmap derived based on the driver's eye movements. Whether or not the driver's gaze is associated with a spatial location of an object may be used as evidence about the driver's mental state. The system may perform appropriate actions based on the mental state including generating alerts, engaging mechanical systems, and adjusting parameters in ancillary safety systems to increase or decrease tolerance. The mental state may be tracked throughout a driving session and stored in a driver profile.

The invention discloses a transcranial electrical stimulation control method and system for regulating mental fatigue, and belongs to the technical field of mental state regulation. The system comprises an EEG collecting and processing module and an electrical stimulation module which are in wireless communication to form a closed loop. The EEG collecting and processing module collects a forehead lobe three-lead EEG signal, after preprocessing (baseline drift and high-frequency interference are removed through FIR filtering, and eye movement artifacts are removed through combination of wavelet transform and Kalman filtering), the mental fatigue state is classified through an onboard lightweight convolutional neural network (CNN) algorithm, and a control command is generated; the electrical stimulation module receives the command, generates bipolar pulse width modulation transcranial direct current stimulation (tPWMDCs) current, and stimulates the prefrontal lobe. Local low-power-consumption reasoning of EEG signals is achieved, tPWMDCs avoid skin injury, a closed-loop system dynamically adapts to individual differences, portability, safety and accuracy are achieved, and the system is suitable for driving, office and other scenes.

The invention relates to the technical field of mental state monitoring, in particular to a mental state real-time monitoring system based on intelligent wearable equipment, which comprises a physiological signal analysis module, a voice data analysis module, a mental fluctuation evaluation module, a fatigue boundary judgment module and a mental state analysis module. According to the method, by extracting key physiological and voice signal features, the activity stability of the neural signal and the autonomic nervous system of an individual can be more accurately judged, the stability of the physiological signal is effectively evaluated, and by calculating the fluctuation trend of the mental state and combining physiological and voice data, the accuracy of the physiological signal is improved. Real-time changes of emotion fluctuation and mental load of an individual can be captured more comprehensively, so that mental state monitoring is more comprehensive and accurate, real-time evaluation of mental fatigue is performed according to physiological and voice signal changes, a more objective fatigue judgment basis is provided, the accuracy of mental health state evaluation is enhanced, and the mental health state evaluation efficiency is improved. And more accurate mental health state information is provided for individuals.

A computerized train driver behavioral analysis system for the automated analysis of behavioral characteristics of drivers of railway trains based on target and keypoint detection. A train operation status and position analysis portion monitors train position, speed, and acceleration. A standardized driver practice analysis portion compares actual driver behaviors and actions to standardized driver behaviors and actions. A driver mental state analysis portion automatically detects a driver's face with a human face detection model with automated target keypoint detection to detect predetermined keypoints to produce an electronic human face box and performs a computer analysis of eye and mouth statuses and makes an automated electronic determination whether the eyes and mouth are open or closed. The system thus produces a computerized judgment regarding behavioral characteristics of drivers based on the train operation status and position analysis, standardized driver practice analysis, and driver mental state analysis portions.

The invention discloses a multi-modal person mental state recognition method based on cross-modal synchronization and adaptive decision making. The method comprises the following steps: step 1, detecting and cutting an obtained face video, and extracting visual modal features of a cut image through a visual feature extraction module; 2, performing audio feature extraction on the original audio through an audio feature extraction module to obtain audio modal features; 3, the visual modal features and the audio modal features are synchronously fused through an audio and video cross-modal synchronization and audio and video feature extraction module; and step 4, adaptively fusing classification results of the first three module paths through an adaptive decision fusion module, simulating a collective perception and decision process, and finally obtaining a final mental state classification result. According to the invention, corresponding personnel mental states can be respectively obtained for different induction sources.

A method of adjusting mental state includes acquiring video data of a first individual, identifying a first set of features based on image, audio, and text data extracted from the video data, predicting a baseline mental state for the first individual based on the first set of features, identifying a target mental state, and simulating a predicted path from the baseline mental state to the target mental state. The predicted path is simulated using a multidimensional mental state model, a plurality of actions, and a computer-implemented machine learning model. The predicted path comprises one or more actions of the plurality of actions and corresponding changes to at least one of first and second dimensions of the multidimensional mental state model. The one or more actions of the predicted path are output to a second individual and are performable to adjust the baseline mental state of the first individual.

Disclosed are a method and a system for mental state perception and a computer-readable storage medium. The method includes: acquiring image sequences with timestamps and millimeter-wave radar raw data with timestamps; preprocessing the image sequences and the millimeter-wave radar raw data; analyzing the head region image sequences to obtain head vibration signal features; calculating face region image sequences obtained from preprocessing by using a remote photovolumetric pulse wave recording method to obtain a first heart rate; analyzing the original millimeter-wave radar data sequence to obtain a second heart rate and a breathing rate; fusing the first heart rate, the second heart rate and the breathing rate to obtain a fused heart rate and breathing rate; performing feature extraction on facial change information by a Transformer-like network; establishing a non-contact multi-modal mental perception model for prediction to obtain a predicted result of the mental state.

The invention discloses an intelligent seat adjusting method, device and equipment based on voiceprint recognition and a medium, and the method comprises the steps: obtaining human body sound source information collected by a sound wave analyzer, judging whether the human body sound source information meets voiceprint collection conditions or not, and if yes, sending a voiceprint collection instruction to obtain voiceprint information, performing adjustment necessity analysis on the voiceprint information to obtain voiceprint analysis information, and performing combined analysis on the voiceprint analysis information and the human body sound source information through an analysis rule to obtain seat dynamic adjustment strategy information; and generating a human body-seat coordination degree adjustment instruction according to the seat dynamic adjustment strategy information, and sending the human body-seat coordination degree adjustment instruction to the driving optimization assembly to adjust the height of the seat. According to the intelligent seat adjusting method, accurate recognition of the identity and the mental state of the user can be achieved by deeply mining the voiceprint features, intelligent adjustment of the seat in combination with the voiceprint analysis information and the mental state is achieved, the accuracy and the intelligent degree of seat adjustment are improved, and the use feeling of the user is improved.

In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for identifying a value of a heart rate variability metric that indicates a variation in a heart waveform of a patient; identifying a value of a brain activity metric that indicates a type of electrical activity represented by a brain waveform of the patient; providing values for a collection of metrics to a computational model, the values for the collection of metrics including the value for the heart rate variability metric and the value for the brain activity metric; and receiving, from the computational model as a result of having provided the values for the collection of metrics to the computational model, an indication of mental state of the patient.

Provided are systems, methods, computer-readable media, and techniques for assessing a mental condition, including: (A) obtaining, from a first source, first input data corresponding to a patient; (B) obtaining, from a second source, second input data corresponding to the patient; (C) analyzing the first input data and the second input data using one or more machine learning models to generate a plurality of patient scores for at least two mental conditions for the patient; (D) generating at least two patient scorecards (e.g., clinical rating scales) for the patient based at least in part on the plurality of patient scores, wherein each patient scorecard of the at least two patient scorecards corresponds to at least one of the at least two mental conditions, and wherein each patient scorecard of the at least two patient scorecards is at least partially complete; and (E) outputting or storing the at least two patient scorecards.

The invention relates to the technical field of brain-computer interaction, in particular to a patient mental state assessment system for a clinician, which comprises a semantic manifold calibration module, a state trajectory projection module, a geometric curvature resolving module and an emotion transformation quantification module. According to the method, electroencephalogram data are collected and deeply analyzed, high-dimensional neural activity characteristics are converted into a visual three-dimensional state track in combination with titer and awakening degree information, continuous dynamic monitoring of the mental state of a patient is achieved, then the emotion conversion process is quantitatively analyzed according to the geometric curvature change rate of the state track, and therefore the mental state of the patient can be rapidly and accurately monitored. According to the method, rapid emotion fluctuation which is difficult to perceive in a traditional evaluation mode can be accurately recognized and marked, objective and fine data support is provided for clinical diagnosis, and the accuracy and instantaneity of mental state evaluation are remarkably improved.

To periodically and easily evaluate ADL of a user in a nursing care office.SOLUTION: An evaluation support system for supporting an evaluation of a physical function or a cognitive function necessary for a person to autonomously perform a living motion, or an evaluation of a mental state of a person or an ability necessary for a person to perform a social activity, wherein a plurality of types of images graphically representing scales of the evaluation are selected for each type of living motion performed by a person to be evaluated, and a sum of numerical values corresponding to the scales of the images selected for each type of living motion is used as an evaluation value.SELECTED DRAWING: Figure 2

The invention provides a crane operating handle safety monitoring method and system. The method comprises the following steps: creating a safety monitoring object; setting monitoring nodes; acquiring handle operation habit data; obtaining mental state data of the driver; analyzing the fatigue state of the driver; setting a dynamic threshold value of handle operation; analyzing whether the handle operation habit data exceeds a threshold value or not by utilizing an HMM; and analyzing the judgment result in combination with the mental state data of the driver, and judging whether an abnormal condition exists or not. By establishing a comprehensive handle safety monitoring system, intelligent monitoring of handle operation is achieved, the problem of false alarm in handle operation safety monitoring is effectively solved by combining the mental state of a driver while the grip strength, the moving speed and the displacement of the handle are considered, the intelligent level and safety of handle safety monitoring are remarkably improved, and the safety of the handle operation is improved. And a more stable and reliable operation environment is provided for the operation of the crane handle.

The invention discloses an information data processing system based on brain wave signals, and particularly relates to the field of medical signal processing and brain science application, and the system comprises a data importing and filtering module which supports the input of an original electroencephalogram file and carries out band-pass filtering on the original electroencephalogram file; the bad track detection module is used for automatically detecting and marking bad tracks based on a local outlier factor algorithm, and comparing local density differences between each channel and surrounding channels; the artifact suppression module is used for correcting non-engraving plate transient artifacts in the electroencephalogram; the data restoration and interpolation module is used for carrying out interpolation on the detected bad track and restoring the overall channel layout; the frequency band and ratio characteristic module is used for calculating energy, relative power and ratio of delta, theta, alpha, SMR, beta and betaH frequency bands; the spectrum-space-time characterization module is used for constructing the features into two-dimensional tensors; and the judgment module is used for outputting the mental state category and the attention score. The mental state can be identified based on the juvenile electroencephalogram.

To provide a mental care system that resolves mental health issues as early as possible, ideally before they become serious illnesses. [Solution] The present invention is a mental care system comprising: a reception unit that receives journaling input from a user; a storage device that stores the journaling input made by the user to the reception unit in chronological order in association with the user so that only the user can access it; and an AI diagnostic unit that uses AI to diagnose the user's mental state based on the journaling input stored in the storage device.

A method for treating a mental disorder in a subject, comprising the step of normalizing the expression of both DRD1 and DRD5 belonging to the DRD1-like family of the subject to a preset standard level. The DRD1 / 5 level and expression can be increased or decreased bidirectionally by targeting the upstream promoter sequence of DRD1 / 5. The promoter activity of DRD1 / 5 can be attenuated by using antipsychotic drugs that directly target the DRD1 / 5 promoter. The antipsychotic drugs used are typical and / or atypical antipsychotic drugs such as haloperidol, risperidone, clozapine, and cariprazine. This treatment is also useful for subjects in whom the constitutive expression of the DRD1 / 5 gene is impaired. This method can be used to treat schizophrenia, autism, depression, mania, and bipolar disorder by normalizing the DRD1 / 5 expression level. The promoter gene sequencing of DRD1 and / or DRD5 can also be used for quantitative mental health screening by comparing with a standard sequence database.

The utility model discloses a decompressing ring toy capable of rotating around a finger, which relates to the technical field of decompressing toys and comprises a base and a ball arranged on the base, a semicircular plate is arranged on one side, far away from the ball, of the base, and a round hole for sleeving an early finger is formed in the middle of the semicircular plate; a plurality of semicircular grooves are formed in the end face, provided with the balls, of the base, the balls are placed in the semicircular grooves respectively, and the balls are matched with the semicircular grooves in a universal rotating mode. The finger ring can be conveniently worn on a finger through the round hole in the semicircular plate, so that a user can conveniently play the finger ring; through the cooperation of the semicircular grooves and the balls, one or more balls can be rotated at will, pressure is effectively relieved, and the mood is delighted; the face can be massaged and played by pressing the balls on the face to roll. The utility model has the advantages of simple structural design, convenience in wearing and various playing methods, and can effectively relieve pressure, reduce the generation of negative emotion and effectively adjust the emotion and mental state.

A heart rate measurement and mental state detection system and a heart rate measurement and mental state detection method for measuring heart interbeat interval and detecting a direction of attention of an individual engaged in an activity are disclosed. The heart rate measurement and mental state detection and method are configured to instantaneously detect and measure focused attention of an individual during a pre-action phase before the individual performs an action involved in an activity while the individual engages in the activity.

The present invention discloses a method and system for controlling a vehicle assisted driving function based on myoelectric induction. The method includes the following steps: obtaining the physiological signals of the driver through a myoelectric bracelet; obtaining the mental state of the driver during driving according to the obtained physiological signals of the driver; and controlling and executing different assisted driving strategies according to the obtained mental state of the driver. The method for controlling a vehicle assisted driving function based on myoelectric induction provided by this application obtains the physiological signals of the driver through myoelectric induction, and controls and executes different assisted driving strategies according to the obtained physiological signals, and can flexibly adjust according to the actual feelings of the driver, so that the performance of the assisted driving function meets the expectations of the driver, bringing a satisfactory control experience to the driver.

The embodiment of the invention provides a multi-sensory music sound sensing terminal and system. The multi-sensory music sound sensing terminal and system can enable a human body to obtain audios and vibration stimulation matched with the audios through multi-sensory music. The system comprises a music player and a multi-sensory music sound sensing terminal. The multi-sensory music sound sensing terminal comprises a receiving unit used for receiving a multi-sensory music signal, and the multi-sensory music signal comprises an audio signal and a vibration signal; the vibration unit is used for generating vibration; the sound equipment is used for playing the audio signal; a housing; and the receiving unit, the vibration unit and the sound equipment are arranged in the shell. According to the sound sensing system, when multi-sense music is played, a spatial music field and corresponding sound wave vibration can be formed, the music enters the brain through an auditory system to influence the mental state of the human body, and the sound wave vibration can enter the human body through touch to influence the physiological state and function of the human body; therefore, the effect of pertinently and comprehensively conditioning and preserving the health of the human body can be achieved.

The application provides a data processing method and device, electronic equipment and storage medium. The mental state features of a test subject are extracted from interview record data of the test subject, the interview record data including at least two of video data, audio data and text data recorded during an interview process. Then, mental state features corresponding to the same mental state category are fused to obtain fused mental state features. Based on the fused mental state features, data classification processing based on a set classification label is performed on the interview record data to determine the data type to which the interview record data belongs. The set classification label includes a plurality of set interview record data types, and different interview record data types correspond to different mental states. The application classifies the interview record data by means of multi-modal information such as audio, video and text of the test subject, and can quickly and accurately classify the interview record data.

A medical tool is described for supporting an individual suffering from a mental condition or disorder characterized by auditory psychosis symptoms. The tool can assist in training the individual to distinguish between an acute auditory psychosis episode and ambient sounds. The tool can monitor for a non-audio input by a patient, where the input represents an indication that the patient is hearing sounds potentially symptomatic of psychosis. A microphone can monitor ambient sounds, which are tested against a threshold to determine and whether an auditory psychosis episode may be occurring.

The embodiment of the invention discloses an information determination method, and the method comprises the steps: determining the event development time of a to-be-arranged doctor based on the popularity and fatigue degree of the to-be-screened doctor; wherein the to-be-screened doctors comprise the to-be-arranged doctors, and the popularity degree represents the popularity degree of the to-be-screened doctors; the fatigue degree represents the fatigue degree of the physical and / or mental state of the to-be-screened doctor. The embodiment of the invention further discloses an information determination device and equipment, a computer readable storage medium and a computer program product.

Disclosed are sensors that measure various both biological conditions and mental conditions of the trainer and on the user and adds an immersion controller into the user's system that essentially uses the exercise devices as actuators that are adjusted in order to keep both the user's physiological state and mental state tracking the trainer's physiological state and mental state.

Computer device for evaluating mental state of a person

The present invention relates to the technical field of acupuncture treatment, and in particular to a novel acupuncture treatment method based on a combination of multiple acupoints for adjusting body shape, adjusting qi, and treating spirit. The method comprises the following steps: determining the patient's body distorted shape through inspection and palpation; selecting corresponding adjusting muscles according to the distorted shape, using fine needles to stimulate the muscles, and restoring muscle strength and elasticity; performing pulse diagnosis according to the decoction pulse method to determine the specific situation of the patient's qi disorder; selecting corresponding qi regulating acupoints according to the pulse diagnosis results, and using fine needles for acupuncture and pulse adjustment; selecting corresponding treating spirit acupoints by observing the patient's mental state, and using fine needles for acupuncture and treating spirit; continuously monitoring the changes in the patient's morphology, qi and mental state, and adjusting the acupuncture scheme according to the changes. The present invention proposes a novel acupuncture treatment method based on a combination of multiple acupoints for adjusting body shape, adjusting qi, and treating spirit, aiming to simplify the operation process, improve the standardization of treatment, and maintain or enhance the treatment effect.

Provided is a system suitable for assisting professional athletes.　This sports assistance system 1 comprises a database that stores condition data 31 relating to the bodily and / or mental conditions of athletes and training data 32 relating to training performed by the athletes. This system 1, using the data in the database 1, displays a time-series change of exercise loads, a time-series change of physical and mental conditions, and a time-series change of injury risks for an entire team and for individual athletes in a manner that allows comparison. The system 1 comprises an athlete model, and the athlete model models the entire team or the individual athletes, and the athlete model simulates the effects and influence of planned training on the entire team or the individual athletes. The athlete model also provides advice for improving training, condition, performance, and lifestyle to the entire team or to the individual athletes.

The present invention relates to a head cover for electrical stimulation, comprising a head cover connected to the front of the original head of a car seat, and characterized in that it also includes an electrode portion capable of covering the temporal lobe area of ​​the driver's head, an electrode fixing portion connected to the head cover and connected to the electrode portion to fix the electrode portion, and a steering wheel having two flexible pole pieces respectively connected to the left and right ends of the steering wheel and an embedded chip. Compared with the existing technology, the present invention has the advantage that when the driver holds both sides of the steering wheel body, both palms need to simultaneously contact the flexible pole pieces on both sides for a certain period of time or more, and the duration needs to be manually set. The electrocardiogram detection module inside the embedded chip converts the electrical signal transmitted by the flexible pole piece into the required electrocardiogram signal. The electrocardiogram signal is input into a neural network module to judge the mental state, such as anxiety or non-anxiety, and then outputs an alternating current signal, such as 40Hz, to the electrode portion to relieve the driver's mood.

This application provides a bed rail extender, relating to the field of bed safety technology. It includes an extended protective section, installed at the gap between the foot of the bed and the bed rail to prevent falls. The extended protective section includes a bottom support rod and a top support rod located above the bottom support rod. A first fixing seat is installed on one side of the bottom of the top support rod. A first protective rod is hinged between the first fixing seat and the bottom support rod, and several second protective rods are hinged between the top support rod and the bottom support rod. This application, through the designed extended protective section installed at the gap between the foot of the bed and the bed rail, increases the protective area of ​​the bed rail, reducing the risk of patients falling out of bed. It provides more comprehensive safety protection, especially for infants, patients with poor mental state, and patients with limited mobility.