125 results about "Mental condition" patented technology

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.

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.

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.

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 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.

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 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.

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

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.

The invention discloses a music therapy control method and system, and belongs to the technical field of physiotherapy therapy, and the method comprises the steps: selecting a proper musical instrument from musical instruments including a Chinese zither, an Erhu, a piano and the like according to the physical and mental conditions of a patient, and through the sound wave stimulation of the musical instruments with specific frequency and rhythm, the excitability of a nervous system can be adjusted, nervous tension can be relieved, and the physical therapy effect can be improved. The sleep quality is improved. For example, the soothing music sound wave can reduce the beta wave activity of the brain and increase the alpha wave and theta wave activity, so that the brain enters a relaxed and focused state, the related nervous system problems such as insomnia and anxiety can be relieved, and the emotion of people can be directly influenced through music of different styles and emotion colors. The happy music can stimulate positive emotions and relieve depressed emotions; and the soothing music can relieve anxiety and nervous mood, so that the mood of people is calm.

Methods and systems for predicting driving performance based on mental states are provided herein. In one example, a vehicle system includes a vehicle computing system including one or more processors and a memory storing instructions that, when executed by the one or more processors, cause the vehicle computing system to adjust one or more vehicle behaviors according to predicted driving performance, wherein the predicted driving performance is determined based on one or more mental states of the driver.

The present invention provides a method for acquiring a value of an autonomic nerve index for evaluating a mental state of a subject, the method being characterized by comprising acquiring the value of the autonomic nerve index of the subject at a first point in time and a second point in time, the autonomic nerve index or an operation value thereof being an index representing the mental state of the subject, the sleep state of the object is different at the first time point and the second time point. Also provided are a method and the like for evaluating the mental state of a subject on the basis of the acquired value of the autonomic nerve index or the calculated value thereof.

A method and a system for analyzing and treating mental conditions of a human subject based on eye tracking are provided herein. The method may include: receiving human subject data associated with a mental or a physical condition related to a human subject; and instructing the human subject, via a user interface, to look at a specific location, while thinking about something associated with the mental or physical condition, wherein the specific location is automatically selected by a computer processor, based on said human subject data.

Systems and methods for implementing an exposure progression that improves an ability of a subject to manage a psychiatric or mental condition of the subject are provided. An exposure progression includes a plurality of categories in a hierarchical order. Each category is associated with one or more experiences, and each experience is associated with a digital reality scene that manifests a challenge. In some embodiments, the hierarchical order is generated or modified dynamically based at least in part on the level of success that a subject has had in one or more challenges, producing an exposure progression that it not only tailored to each subject but also with personalized timing and / or nature of the exposure practice.

The invention relates to a multi-dimensional brain wave detection method, glasses, equipment and a readable storage medium. The multi-dimensional brain wave detection method comprises the following steps: acquiring original acquisition data when a user wears intelligent glasses through a plurality of pieces of detection equipment on the intelligent glasses; calculating the original collection data through a preset calculation formula to obtain target collection data; byte quantization is carried out on the target collection data according to a set numerical value unit through an intelligent algorithm chip, and byte stream data capable of being uploaded is obtained; on the basis of the byte stream data, generating characteristic parameters for judging the concentration, fatigue degree and emotion value of the user; through multi-sensor data collaborative analysis and brain wave data fusion, the problems of mental states and visual health conditions of the user in different states are comprehensively solved.

The invention provides a fatigue detection system. The fatigue detection system comprises an image sensor, a sound sensor, a memory, a database and a processor, wherein the image sensor is used for acquiring a face image of a driver; the sound sensor is used for acquiring sound data of the driver; the processor obtains a fatigue detection result of driving by using the fatigue detection model, extracts fatigue features from the face image according to the fatigue detection result, and matches the fatigue features with the music features by using a cross-modal retrieval algorithm to obtain a music file corresponding to the matched music features. And identifying the voice data by using a voice detection algorithm to obtain a voice identification result, judging the mental state of driving according to the fatigue detection result and the voice identification result, and determining a music file to be played according to the mental state of driving. The fatigue detection system provided by the invention can accurately judge the mental state of the driving driver.

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

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; 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 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.

Systems and methods for neuronavigation in accordance with embodiments of the invention are illustrated. Targeting systems and methods as described herein can generate personalized stimulation targets for the treatment of mental conditions. In many embodiments, direct stimulation of a personalized the stimulation target indirectly impacts a brain structure that is more difficult to reach via the stimulation modality. In various embodiments, the mental condition is major depressive disorder. In a number of embodiments, the mental condition is suicidal ideation.

This application relates to the field of data processing technology, and discloses an orthogonal fusion model of emotion, fatigue, and subjective will, as well as a method for assessing mental state. For the problem of emotion recognition, this application proposes a spatiotemporal entropy feature extraction method, which has good adaptability to small sample EEG data; for the problem of low recognition rate in fatigue state recognition, it proposes a power spectrum normalization feature extraction method for brain functional connectivity, which shows higher accuracy in fatigue state recognition; for the problem of feature fusion of emotion, fatigue, and work will, it proposes a mental state assessment model based on the Taguchi orthogonal method that fuses subjective and objective indicators. Experimental results show that the spatiotemporal entropy feature emotion recognition, the power spectrum recognition fatigue state recognition of brain functional connectivity, and the orthogonal fusion mental state assessment model of subjective and objective indicators proposed in this invention can complete the task of recognizing emotional state, fatigue state, and mental state.