75 results about "Psychological stress" patented technology

A method of changing psychological stress indices by evaluating manifestations of physiological change in the human voice wherein the utterances of a subject under examination are formatted as electrical signals and processed to alter selected characteristics which have been found to change with psycho-physiological state changes, such that the resultant output data signals are perceptually unchanged yet display none of the undesired physiological response characteristics. Apparatus for performing changes of this type includes a data input port, means for spectral alteration and a data output port.

The invention discloses a method for classifying individual differences in psychological stress assessment. The method includes steps of 1, designing an effective experimental scheme for inducing psychological stress in laboratories and creating a stimulation material library for psychological stress materials; 2, acquiring psychological stress data of sEMGs (surface electromyographic signals); 3, preprocessing the raw data; 4, extracting and processing psychological stress characteristics of the sEMGs; 5, classifying psychological stress assessment by the aid of a classifier of an improved support vector machine. The method has the advantages that the psychological stress data are acquired via the simple and feasible experimental scheme, so that researchers can deeply understand psychological stress on the basis of careful analysis on mass data, and the method is beneficial to understanding emotional behavior of human; psychological stress assessment and research implemented by the method on the basis of the psychological signals have objective characteristics as compared with a self-assessment mode implemented by the aid of questionnaires and the like, accordingly, the method is wide in application range and favorable for psychological stress and health research.

The invention discloses a method and system for predict psychological stress state. The neural network model is constructed by using the deep belief network in deep learning. The structure of the deeplearning model is determined automatically by genetic algorithm, and the psychological stress state of users is predicted automatically according to the pre-trained model, so as to realize the automatic prediction of the user's psychological stress.

The invention provides a psychological intervention method and device based on man-machine interaction in a psychological stress state. The method comprises the steps of obtaining interaction data ofa tested person in a psychological stress state, wherein the interaction data comprises tested person behavior data, physiological data, emotional state data and cognitive data; performing structuredanalysis on the interaction data based on a preset rule to obtain the psychological health degree of the tested person; according to the psychological health degree, adopting different psychological intervention schemes for the tested person. According to the invention, interaction data of a tested person in a psychological stress state is obtained; the psychological health condition of the testedperson is obtained by analyzing the interaction data on the basis of the preset rule, different intervention schemes are adopted according to the psychological trauma degree, and scientific, standard, systematic and convenient psychological services are provided for the public through the combination of human-computer interaction, psychological principles and psychological consultation technologies.

The invention relates to a psychological pressure parameter monitoring system and method. The system comprises a sensing device and a terminal communicated with the sensing device. The sensing device is arranged in an article which is used for making contact with a testee. According to the psychological pressure parameter monitoring system and method, a fiber bragg grating sensing module of the sensing device is used for sensing an optical signal corresponding to the testee, an optical receiving module is used for converting the optical signal into an original electric signal, the original electric signal is sent to the terminal communicated with the sensing module, the terminal conducts analysis according to the received original electric signal, and psychological pressure data corresponding to the testee are obtained. In the process, the sensing device is arranged on the article which is used for making contact with the testee, and therefore the sensing device does not make direct contact with the human body, the testee does not realize the psychological stress of being tested, and the psychological fluctuation and discomfort brought to the testee in the testing process are avoided.

The invention relates to the technical field of psychology, and discloses a hypnotic device for relieving psychological stress. The hypnotic device comprises a base, wherein a counterweight block is fixedly arranged at the bottom of the base; a driving cylinder is fixedly arranged at the top of the base; a supporting rod is fixedly arranged at the top of the driving cylinder; a movable rod is movably arranged at the top of the supporting rod; a fixed block is fixedly arranged at the top of the movable rod; a fixed shaft is fixedly arranged between the inner walls of the left side and the rightside of the fixed block; a movable ring sleeves the outer side of the fixed shaft; a fixed rod is fixedly arranged at the bottom of the movable ring; and a sleeve rod sleeves the bottom of the fixedrod. According to the hypnotic device for relieving psychological stress for psychology, the effect of adjusting the radian of a pendulum is achieved by changing the distance between the fixed rod anda limiting ring, and the whole adjusting process is simple, so that an effect of better relieving tension is achieved. The hypnotic device is more convenient to use, and an automatic counting and frequency display screen is added on the back of the base, so that measurement is convenient. A USB data interface is added, so that data can be conveniently exported.

The invention discloses a psychological stress evaluation method based on fusion of an electrocardiosignal and an electromyographic signal, and belongs to the technical field of psychological stress analysis. The method aims at solving the problems that existing psychological stress evaluation more emphasizes subjectivity of a subject, and the stress state of the subject cannot be objectively reflected through physiological or behavioral characteristics. The method comprises the steps of acquiring an electrocardiogram physiological parameter and an electromyographic physiological parameter; acquiring all to-be-recognized characteristics of the electrocardiogram physiological parameter and the electromyographic physiological parameter; fusing all the to-be-recognized characteristics througha random forest characteristic importance measurement method algorithm, and allocating weights in a stress recognition model to obtain a final stress recognition model; acquiring and processing the electrocardiosignal and a surface electromyographic signal of the subject to obtain to-be-tested characteristics of the subject; and inputting the to-be-tested characteristics of the subject into the final stress recognition model to obtain the current psychological stress level of the subject. The method is used for testing the psychological stress state of the subject.

A psychological stress index measuring system and its analysis method comprise a pulse generator, a transmission-based photo sensor, a signal converter & amplifier, a filter and a processing platform. At first, the transmission-based photo sensor fixed on a user depends on a light transmitting mechanism to detect analog SpO2 (oxyhemoglobin saturation by pulse oximetry) signals. Then, it will be processed and transformed to digital signals and further exported to the processing platform for extraction of PPGA & HBI. Finally, it will pass a median filter, normalization, and development of Psychological Stress Index which is based on the normalized PPGA & HBI as one convenient method to evaluate psychological health.

The invention relates to an animal chronic fear stress meter based on a danger method, and aims at effectively solving the problem that an existing chronic fear psychological stress animal mold has relatively high body stimulation such as electric shock. According to the technical scheme, a speed reducer is fixedly arranged at the bottom of a bracket; a runner and a turntable are connected with each other through a rotating shaft and then are fixedly arranged at the top end of the bracket by a rotating shaft sleeve; the rotating shaft of the speed reducer is connected with the runner at the top end of the bracket by a motor belt; a box body is in a flat double-disk shape; one side of the box body is completely blocked, and is fixedly arranged on the turntable; a through hole is formed in the center of the other side of the box body; and a plurality of steps are arranged on the inner wall of a circular ring part between the disks on two sides of the box body at equal intervals. The animal chronic fear stress meter is simple and convenient to operate and high in practicability; animals can be in a danger continuously to generate fear psychological stress; meanwhile, relatively high body stimulation such as electric shock is avoided; and thus, the animal chronic fear stress meter is an innovation in the chronic fear psychological stress animal mold.

The multifunctional chair comprises a supporting base, a massage chair installed on the supporting base and an annular cabin arranged around the massage chair, an annular guide rail is arranged on the inner wall of the annular cabin, a display system is connected to the annular guide rail in a sliding mode, and a driving system is arranged at the top in the annular cabin. The driving system drives the display system to rotate by 360 degrees along the annular guide rail, a left supporting armrest and a right supporting armrest are installed on the two sides of the massage chair respectively, a monitoring system used for detecting physiological parameters of the human body is arranged on the left supporting armrest, and a control system used for opening and closing control is arranged on the right supporting armrest. The physiological parameter data of the user can be detected through the monitoring system, the multi-dimensional psychological emotion evaluation function is achieved in combination with the facial expression image data, the psychological evaluation accuracy is guaranteed, meanwhile, an immersive psychological relaxation environment is created through the annular cabin, and the psychological stress of the user can be relieved.

The present invention discloses a method for detecting psychological stress based on EEG signals. The method comprises three parts of an EEG signal acquisition device, a special EEG signal analysis system and a psychological stress level module. A working principle is as follows: 1, brain wave signals of a wearer collected by using the EEG signal acquisition device are transmitted to the special EEG signal analysis system in real time; 2, the EEG signals are decoded and preprocessed and EEG signal power spectrum density characteristics of different psychological stress grades in a database arecalculated and extracted to establish a psychological stress EEG database; 3, a random forest algorithm is applied to establish a machine learning model to classify and train psychological stress oncharacteristic values of the different EEG signals; and 4, judging the psychological stress grades of the EEG signals transmitted from the EEG signal acquisition device according to a grading model. Adesign is conducted based on data characteristics of the EEG signals, a data model of the EEG signal characteristics corresponding to different psychological stress levels is established, and psychological stress of the wearer of the EEG signal acquisition device can be judged in real time.

The invention specifically discloses an immersive anti-stress psychological training system and method based on a VR technology. The system comprises the following modules: a man-machine interaction module, a login module, a scene simulation module, a signal acquisition module and a processing module, wherein the man-machine interaction module comprises a first PC terminal, a VR head-mounted display and an operation handle, and a user enters a training system through the first PC terminal and the VR head-mounted display; the login module is used for performing login after the information and identity of the user are identified and verified; the scene simulation module comprises an interference training scene and a pressure training scene; the signal acquisition module is used for acquiring and sending human body physiological information and lower limb joint movement information in a training process; and the processing module is used for fusing the information sent by the signal acquisition module so as to calculate and output a psychological assessment result of the user in real time. The invention provides the immersive anti-stress psychological training system and method based on the VR technology, and aims to solve the problems of long user training period, high time cost, single training form, weak interactivity and generally low application efficiency in an existing psychological training method.

The embodiments of the invention provide a multi-modal fusion method and device for psychological stress detection. The multi-modal fusion method is based on an attention-enhanced feature matrix of physiological data->text, physiological data->pictures, text->physiological data, text->pictures, pictures->physiological data and pictures->text, based on a feedforward fully-connected neural network,a fusion feature matrix of the text, the pictures and the physiological data is obtained; then based on importance weights of the text, the pictures, and the physiological data and the fusion featurematrix of the text, the pictures and the physiological data, a fusion representation matrix of three modes is obtained; and finally, based on the fusion representation matrix of the three modes and the feedforward fully-connected network, a pressure classification vector reflecting the psychological stress problem is obtained. By merging text picture data and physiological related data, not only the deficiencies caused by the subjectivity of text and picture data are compensated, but also certain inherent problems of physiological related data are solved.

The invention discloses an athlete psychological stress assessment method and system based on a convolution and recurrent neural network. The method comprises the following steps: S1, establishing a psychological stress data set based on heartbeat change of an athlete; s2, constructing and training a psychological stress monitoring model based on the psychological stress data set, wherein the psychological stress monitoring model comprises a convolutional network layer and a cyclic network layer; and S3, predicting a psychological pressure grade result of the athlete according to the psychological pressure monitoring model. The electrocardiosignal features can be automatically extracted through the convolutional neural network and the recurrent neural network, and the limitation of manual feature extraction of a traditional method is overcome to a certain extent.

The invention provides a multi-modal fusion psychological stress analysis method, which comprises the following steps of: segmenting a long audio / video into a short audio / video with a face and voice, and framing the short audio / video to obtain an image sequence and a voice signal; performing facial feature extraction on the image sequence to obtain a facial frame sequence; applying an optical flow method to extract optical flows from adjacent frames of the face frame sequence to obtain an optical flow sequence; fusing a face frame sequence and the optical flow sequence, and performing linear mapping to obtain a face embedding vector; extracting a region of interest from the image sequence to obtain a sequence of interest, and performing linear mapping to obtain a physiological signal embedding vector; extracting basic acoustic characteristics of the voice signal by taking a frame as a unit, and performing linear mapping to obtain an acoustic embedded vector; extracting emotional features from the voice signal and the image sequence; fusing the features according to the time sequence of the frame sequence to obtain a spatio-temporal feature vector; and inputting the spatio-temporal feature vectors into a model, and performing softmax classification to obtain a psychological stress level.

The invention discloses a self-adaptive virtual reality intervention system based on user background and emotion and an implementation method thereof. An emotional state driven self-adaptive VR system is achieved by researching the association relationship among the social attributes of subjects, stress environment characteristics, VR scene object materials and decompression effects and combining a GAN network and a PCG technology. The intervention system comprises a real-time emotion recognition module, an emotion VR knowledge graph model module and a self-adaptive VR generation module. According to the method, the GAN and the PCG are combined to generate the VR, and the content can be continuously generated according to the program before the experiment is started or when the experiment is carried out, so that the manpower and the time can be saved, and the content of the VR scene can be more diversified and is not limited to a VR material library. The background and the emotion of the user are used as input, and specific stimulation content generation is provided for the individual user through the generation network, so that more accurate psychological stress training is formed, and interaction between user experience and a scene is promoted.

The invention belongs to the technical field of psychological stress management, and discloses a psychological stress management ability detection system and method, and the psychological stress management ability detection system comprises a psychological survey module, a main control module, a psychological diagnosis module, a psychological judgment module, a psychological test module, a psychological evaluation module, a psychological report generation module and a display module. The psychological state of a test individual is judged to be the psychological state corresponding to elementsin a psychological state set of a current training set by the psychological judgment module; therefore, the psychological state of the test individual can be accurately judged; meanwhile, a final testscore is adjusted or obtained through the psychological test module according to psychological cognitive parameters when the tested object answers each question or psychological cognitive parameterswhen the tested object answers each option of each question; and the psychological test can be performed on the tested object objectively, and the accuracy of a psychological test result can be improved.

The invention discloses a psychological stress evaluation model processing method and related equipment. The method is applied to terminal equipment; the method is characterized in that by using historical behavior data of a user, a psychological pressure evaluation model of a user is corrected, so that the corrected psychological pressure model better conforms to the relationship between the psychological value of the user and the physiological parameters of the user, the matching degree between the psychological pressure model of the user and the user is improved, and the relationship between the psychological pressure value of the user and the physiological parameters is accurately reflected. The method comprises the steps of obtaining historical behavior data of a user; obtaining a first psychological pressure evaluation model of the user; generating a second psychological pressure evaluation model of the user according to the historical behavior data and the first psychological pressure evaluation model, wherein the first psychological pressure evaluation model is a psychological pressure evaluation model before correction, the second psychological pressure evaluation model isa psychological pressure evaluation model after correction, and the psychological pressure evaluation model is a model reflecting the relationship between psychological pressure values and physiological parameters.

An insulin device configured to control insulin dispensing based on insulin sensitivity. The insulin device includes a processor configured to receive insulin dosing schedule information, psychological stress level data, and body mass index (BMI) data; a sensor configured to generate a blood glucose level measurement. The sensor is calibrated as a function of the psychological stress level data and the BMI data and the processor is configured to monitor and detect changes of the blood glucose level measurement that are determined to have occurred as a function of changes of the psychological stress level data, and identify a time when the BMI data counteracts a detected change in the blood glucose level measurement. The insulin device also includes an insulin dispensing valve controlled by the processor to change the insulin dosing schedule information in accordance with the counteracting BMI data.

The invention discloses a catharsis device for relieving psychological pressure. The catharsis device comprises a pile body, a control box, a base and a striking device, the control box is arranged at the bottom of the pile body, the base is located below the control box, a connecting base is arranged between the control box and the base, the pile body is sleeved with a latex leather sheath, a plurality of identification keys are arranged on the latex leather sheath, a loudspeaker is arranged on the control box, a rotary table is arranged at the top end of the control box and driven by a rotary motor arranged in the rotary table, and the top end of the rotary table is fixedly connected with the bottom end of the pile body. The pressure reducing device has the beneficial effects that the pressure reducing effect is provided by hitting the human-shaped pile body, cooperative assistance of sound can be provided while hitting is conducted, the pressure reducing efficiency is improved, through the rotating structure design of the pile body, the device can have certain interaction performance, and the boring feeling caused by long-term use is avoided; and by changing the color of light in the striking process, the visual striking effect is improved, the whole device has visual, auditory and tactile common interaction, and the pressure reduction effect is improved.

The invention discloses a psychological stress state evaluation system based on biochemical indexes, which comprises a biochemical index detection system, a normal index acquisition system, a stress state grading judgment system and a suggestion conclusion generation system, and is characterized in that the biochemical index detection system is used for detecting a plurality of biochemical indexes of a detected person; a normal index acquisition system is used for acquiring standardized biochemical index data of a group in which a testee is located; a plurality of pressure state levels are arranged in the pressure state grading judgment system; a suggestion conclusion generation system is divided into the corresponding pressure state levels according to the biochemical index data of the testee. The psychological stress of the testee is evaluated through the biochemical indexes, and the result is not easily influenced by subjective factors of the testee, so that the psychological health state of the testee can be judged more accurately, the psychological stress condition of the human body can be evaluated, the psychological stress of the user and the level of the psychological stress can be found in time, measures can be taken in time, and the user experience is improved. The overall evaluation and analysis on the psychological stress state of the group are facilitated.

The invention relates to the technical field of psychological counseling, and discloses an on-line psychological counseling device, system and method convenient for insomnia, the psychological counseling device comprises a controller, a monitoring belt and a data connecting line, and two groups of flexible first pressure sensors and a group of second pressure sensors are laid in the monitoring belt. The monitoring belts are independently placed above a mattress and below a bed sheet, the monitoring belts are respectively connected with a control module in the controller through external data lines, the controller is located beside a person going to bed, and the control module in the controller judges whether the user goes to bed or not according to the first pressure sensors on the monitoring belts. The first pressure sensor and the second pressure sensor are attached to the interior of the monitoring belt to collect pressure signals of a user on the monitoring belt in real time, the sensors can detect extremely weak vibration signals, and the controller analyzes breathing and heartbeat data and body movement data of the user in real time; and analyzing the sleep cycle state and the psychological stress state value of the user through an algorithm.

The invention relates to a bacterium of the species Lacticaseibacillus paracasei (formerly known as Lactobacillus paracasei) and compositions comprising a bacterium of the species Lacticaseibacillus paracasei for use in alleviating the psychological and / or physiological response to psychosocial and / or psychological stress and promoting mental and overall wellbeing, in a mammal. The invention further relates to bacterium of the species Lacticaseibacillus paracasei and compositions comprising a bacterium of the species Lacticaseibacillus paracasei for use in preventing and / or treating a symptom affecting mental health and promoting mental and overall well-being, in a mammal. The invention further relates to methods and uses of said bacterium and / or compositions.

The invention provides a method and an automatic device for applying, intervening and recording human psychological stress, and the method comprises the steps: applying the superposed stimulation of urging sound and warning sound when a subject carries out the mirror scanning operation by using the principle of a mirror scanning experiment; in this way, the psychological stress of the testee can be applied and intervened; meanwhile, behavior characteristics of the testee during the mirror scanning operation are recorded, wherein the behavior characteristics comprise time points and times of mirror scanning errors, duration time of each mirror scanning error, time points and times of mirror scanning correctness, and duration time of each mirror scanning correctness; meanwhile, various indexes such as blood pressure, heart rate, respiratory rate, electrocardiogram, electroencephalogram and facial expression change of the testee can be selectively measured; the information is converted into data to be recorded; various data are calculated through an algorithm to obtain various numerical values and curves so as to quantitatively express and record indexes such as the intensity, the continuity and the adjusting ability of psychological stress of a testee in the microscopic scanning period.

The invention provides a psychological stress detection method and device based on transfer learning. The method comprises the following steps: acquiring a multi-modal physiological signal of a user and preprocessing the multi-modal physiological signal; inputting the preprocessed multi-modal physiological signal of the user to a pressure detection migration model to obtain a pressure level of the user output by the pressure detection migration model; wherein the pressure detection migration model comprises a feature extractor and a pressure classifier, the pressure detection migration model is obtained by adversarial training with a domain discriminator, the feature extractor is used for extracting depth features and fusing the depth features with artificial time-frequency domain features, and the pressure classifier is used for classifying pressure levels of a user; the domain discriminator is used for discriminating whether the sample data belongs to a source domain or a target domain. According to the method, pressure detection knowledge suitable for large-scale crowds is migrated to at least quantity of target group pressure detection tasks, and a more convenient and accurate solution is provided for establishing personalized models of different groups.

The invention discloses a mental stress detection method based on heart rate and social media micro-blog and belongs to the technical field of life stress detection. In the invention, mental stress detection is carried out, on the basis of the heart rate and social media micro-blog, in the manner of: firstly, acquiring a heart rate from an electrocardiosignal; according to the Poisson probabilitymodel, detecting and recognizing an abnormal microblogging (stress / excitement) zone from the micro-blog; then correlating every heart rate abnormal zone with the abnormal microblogging zone in time-synchronized and highly-matched manner; finally on the basis of the matching result, determining whether the heart rate abnormal zone belongs to stress zone or excitement zone, and the stress source event or positive event, which cause the abnormal zone. The analysis make everybody to be aware of influence on health from stress caused by threat, damage or challenge, so that everybody can have a natural mental status to deal with the stress or calm down from the stress source event. For the first time, the mental stress detection is achieved on the basis of the heart rate and social media micro-blog.

An insulin device configured to control insulin dispensing based on insulin sensitivity. The insulin device includes a processor configured to receive insulin dosing schedule information, psychological stress level data, and body mass index (BMI) data; a sensor configured to generate a blood glucose level measurement. The sensor is calibrated as a function of the psychological stress level data and the BMI data and the processor is configured to monitor and detect changes of the blood glucose level measurement that are determined to have occurred as a function of changes of the psychological stress level data, and identify a time when the BMI data counteracts a detected change in the blood glucose level measurement. The insulin device also includes an insulin dispensing valve controlled by the processor to change the insulin dosing schedule information in accordance with the counteracting BMI data.

The invention discloses a method for selecting subjects, majors and jobs according to characters of middle school students. The method comprises the following steps: 1, analyzing and judging self characters; sequentially finding out a character vocabulary of a user, a parent with opposite sex and a parent with same sex in a real psychological state from strong, lively, stable and follow-up character expressions through filling of a character testing unit I; 2, respectively finding out a character vocabulary of a user in a real psychological state, a normal psychological state and a stress psychological state through filling of a character test unit II; and 3, a character classification unit: confirming the character combination of the user, and completing character self-cognition. The invention relates to the technical field of evaluation, is customized based on the character difference of middle school students, can construct the personality recognition feeling of the middle school students through the efficiency obtained by the test result, strengthens the primary and secondary consciousness of the characters of the middle school students, and facilitates the better making of career planning (subject selection, major selection and job selection) of the career planning of the middle school students.