81 results about "Psychologic stress" patented technology

The invention discloses a psychological stress assessment method based on multi-physiological-parameter integration. The method includes: designing a reasonable stimulation program, acquiring four types of electrophysiological signals, namely electrocardiogram signals, electromyographic signals, pulse wave signals and electroencephalogram signals from people suffering psychological stress; extracting affective features of the four types of electrophysiological signals; subjecting the extracted features to feature selection by means of Relief algorithm, genetic algorithm optimization and the like; acquiring related integration functions on the basis of basic probability assignment mass. According to the method, multi-parameter signals are subjected to acquisition, preprocessed, feature selection and psychological stress affective recognition and are integrated; compared to single-parameter classified recognition or multi-parameter data-level or feature-level integration, the method allows data information to be more fully utilized and psychological stress emotions to be more accurately recognized.

An emotion monitoring method for special people includes: acquiring neural physiological information, and acquiring electroencephalogram signal and brain blood oxygen signal; performing signal treatments including signal pretreatment, feature extraction and emotion recognition; determining intervention type, determining recognized emotions, and returning to a start phase to continue monitoring if a user is calm or positive emotionally, or proceeding a next phase if not; performing systematic intervention, namely determining the manner of systematic auxiliary emotion regulation and intervention or remote intervention according to different emotions; and storing data, drawing an emotion periodic table in a certain period, and recording and storing mood fluctuations of a user. By the aid of portable detection of electroencephalogram and brain blood oxygen signals, accurate emotion status is recognized, unhealthy emotions of users and the outside world can be helped and noticed timely, humane placation measures are taken, emotion statuses of the users can be improved, mental state deterioration can be avoided for the users, and nursing burden and physiological pressure of family members of a patient with emotional disorder can also be relieved.

The present invention relates to the field of psychological stress in humans, more particularly the invention relates to the diagnosis of human psychological stress through the use of isoprostanes as a biological marker.

A method and system for measuring psychological stress disclosed. In a first aspect, the method comprises determining R-R intervals from an electrocardiogram (ECG) to calculate a standard deviation of the R-R intervals (SDNN) and determining a stress feature (SF) using the SDNN. In response to reaching a threshold, the method includes performing adaptation to update a probability mass function (PMF). The method includes determining a stress level (SL) using the SF and the updated PMF to continuously measure the psychological stress. In a second aspect, the system comprises a wireless sensor device coupled to a user via at least one electrode, wherein the wireless sensor device includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to carry out the steps of the method.

This invention relates to the use of a quantitative functional MRI (fMRI)—arterial spin-labeling perfusion MRI or absolute T2 mapping MRI or a combination thereof in the non-invasive neuroimaging of a subject's brain in response to stress-inducing psychological stimuli, which can be utilized to predict individual stress reactivity as well as to be used as a human model for testing or optimizing psychopharmacological agents.

The embodiment of the invention discloses a mental regulation method and device which are used for solving the defects caused by evaluating mental pressure in the prior art and improving the reliability of mental regulation. The method disclosed by the embodiment of the invention comprises the following steps: acquiring the electrocardiogram data of a user; carrying out heart rate variability (HRV) analysis on the electrocardiogram data to acquire a pressure parameter of the user; determining a virtual reality scene according to the pressure parameter, wherein the virtual reality scene comprises a three-dimensional image and sound; and displaying the virtual reality scene to guide the user to regulate the mental pressure.

The invention is suitable for the technical field of health control and provides a psychological pressure assessment method and apparatus. The method comprises the steps of collecting sample data, and constructing a feature data matrix, wherein the sample data specifically comprises physiological feature data, psychological feature data such as stress scale and the like, basic information of an individual and the like; performing preliminary assessment on the physiological feature data and the psychological feature data by a fuzzy C-mean algorithm and an ordered weighted arithmetic mean operator to obtain respective classification identification results; performing secondary classification whether the results are benign or not for the classification identification results in which psychological pressure exists according to a decision layer fusion model, and outputting secondary classification results in which the psychological pressure exists; and taking the secondary classification results as statistical model inputs, and obtaining a quantized value of the psychological pressure of the individual according to a pressure system theory model-based Cylinder pressure quantization function. According to the method and the apparatus, graded quantitative assessment of the psychological pressure is realized.

The invention discloses a multi-parameter mental stress assessment method based on an analytical hierarchy method and a device. The method obtains a parameter set of mental stress influential factors through analysis of a frequency domain, a time domain and non-linearity of HRV signals of a testee, and obtains mental stress assessment results of the testee by the analytical hierarchy method and a mental stress assessment model. The device collects electrocardiograph signals of the testee, analyzes and assesses the electrocardiograph signals by the multi-parameter mental stress assessment method based on the analytical hierarchy method, outputs an assessment report and transmits the assessment report outwards. The multi-parameter mental stress assessment method based on the analytical hierarchy method and the invention have the beneficial effect that (1) a mental stress state of the testee is monitored according to changes of HRV physiological parameters of the testee, so influences brought by subjective factors and different cognitive levels of the testees to monitoring results are effectively avoided; and (2) the daily mental stress state of the testee is effectively recorded and analyzed, and key data is stored to remind the testee of self-adjustment and taken for standby application of medical staffs.

The invention discloses a psychological pressure monitoring method and device integrating pulse rate variability and sleep quality. The method comprises the following steps of firstly collecting humanphotoplethysmography pulse signals and acceleration signals to recognize the current motion state; if the recognition result is a motion, discarding the pulse signal data, and if the recognition result is a peace state, first preprocessing the photoplethysmography pulse signals, then, extracting feature parameters of the pre-processed pulse signals to extract multidimensional feature parameters which can be used for measuring human psychological pressure, then inputting the extracted features into a pre-trained classifier, outputting the pressure state index, and finally, combining with recent sleep quality, and assisting the classifier to get the final psychological pressure state. The method and device can reduce the cost and complexity of pressure monitoring, can solve the problem of insufficient characterization ability of feature parameters of a single physiological signal, and at the same time, can greatly reduce the false judgment probability brought by short-range monitoring and ensure the accuracy and feasibility of the psychological pressure monitoring.

Embodiments of the present invention disclose a detection method and a related device of psychological stress states. The method comprises the following steps: collecting electrocardiosignals of subjects to be detected and extracting R waves in the electrocardiosignals; acquiring multiple target RR intervals of the R waves in the electrocardiosignals, and acquiring heart rate variability (HRV) time domain feature parameters, HRV frequency domain feature parameters and HRV nonlinear feature parameters based on the multiple target RR intervals; and inputting the heart rate variability (HRV) time domain feature parameters, HRV frequency domain feature parameters and HRV nonlinear feature parameters into a pressure detection model, and determining the psychological stress states of the subjects to be detected based on the pressure detection model. According to the embodiments, multi-dimensional parameters obtained from the electrocardiosignals can be used to detect the psychological stress states of the subjects, and detection accuracy and stability of the psychological stress states can be improved.

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 a mental stress detecting, tracking and feedback system, which comprises a signal collector, a signal converter, a processor and a display, wherein the signal collector is used for collecting a physiological signal when a human body receives training; the signal converter is used for converting the collected physiological signal into a digital signal; the processor is used for converting the digital signal into a coordinate value; the coordinate value is stored into a memory and is compared and calculated, and the result is outputted to the display; and the display is used for displaying an HRV (high resolution visible) curve and data in real time and is used for displaying a training system. The mental stress detecting, tracking and feedback system disclosed by the invention is convenient for any person to use and carry out self regulation, and the person can train by facing to the display to realize self tracking regulation. According to the reasonable statistics, a testee can know the current mental coordination level, and the self regulation consciousness of the testee is increased.

The invention discloses a system used for psychological decompression. The system comprises a base. An inserting groove is formed in the top of the base. A vertical rod is arranged in the inserting groove. The top end of the vertical rod is connected with a human-shaped rubber doll. Pressure switches and LED colored lamps are embedded into the surface layer of one side of the human-shaped rubber doll. A power source is arranged at the side, far away from the pressure switches, of the human-shaped rubber doll. The power source, the pressure switches and the LED colored lamps form a series circuit. An annular groove is formed in the outer circle of the base. Two mounting cavities are formed in the base. The system used for psychological decompression is simple in structure. By beating the human-shaped rubber doll, the pressure switches are triggered, the circuit is connected, the LED colored lamps give out light, interest of people is increased, the attentions of people are distracted, and the metal stress is relieved. Meanwhile, by adjusting pretightening force of a second spring, constraining force to the vertical rod by a connecting band can be adjusted. After the human-shaped rubber doll is beaten by people, different sorts of counterforce can be achieved, the system is suitable for being used by different crowds, the applicability is improved, and therefore emotions of people can be better released and the metal stress can be better eliminated.

The invention discloses a psychological stress monitoring method, device and system. The method comprises the steps of sampling PPG data in a mode of a sliding window to obtain a waveform sample valueat a preset moment; dividing the waveform sample value to obtain N effective heartbeat waveforms at the preset moment, wherein N is a positive integer; inputting each heartbeat waveform to a trainedmachine learning model to obtain a psychological stress value corresponding to each heartbeat waveform; obtaining the psychological stress value at the preset moment according to the N psychological stress values. Compared with the prior art, the psychological stress monitoring method, device and system have the advantage that the psychological stress value at the preset moment through the machinelearning model is higher in accuracy.

The invention discloses a metal stress assessment method and system based on intelligent wearable equipment. The method comprises the steps: obtaining physiological parameters of a user in a preset period from the intelligent wearable equipment, and judging whether the physiological parameters of the user in the preset period exceed a prestored range of physiological parameters of the user at a normal metal state; and determining that the user has metal stress if the physiological parameters of the user in the preset period exceed the prestored range of physiological parameters of the user at the normal metal state. Through the above mode, the method and system can assess the condition of metal stress of the user, and enable the user to know the condition of metal stress timely.

The invention relates to a method for carrying out psychological guidance through a sport system with a feedback adjustment mechanism, and belongs to the field of the sport mode psychological adjustment. Sport enables the human body to generate matter and a mechanism which stimulate a joy sense, the capacity of the parasympathetic nervous system can also be improved to achieve the aim of relieving the psychological pressure, and the sport is a good psychological adjustment mode. According to the method, a system simulates a sport scene, physiological parameters in the sport process of a psychological adjustment person are detected and compared with an optimal sport state measurement value, the psychological adjustment person is reminded to change the sport state, feedback is carried out in real time, the psychological adjustment person is in the most ideal sport state all the time, and the aim of relieving the psychological pressure is achieved.

The embodiment of the invention provides a cc. The method includes the steps: obtaining a corresponding initial word vector based on text vocabulary and combining an LSTM (Long Short-Term Memory) network layer to obtain a context vector; obtaining a semantic association matrix based on an MHA (Multi-Head Attention) model, and acquiring semantic association degree mapping in combination with a fully connected network layer; generating an attention vector based on semantic association degree mapping and an attention network layer; and combining the context vector and a feedforward fully connected network model, and obtaining a pressure classification vector. The method and device for sensing psychological stress problems use the LSTM network layer, the MHA model, the fully connected networklayer, the attention network layer, and the feedforward fully connected network model to obtain the pressure classification vector, take a large amount of text vocabulary reflecting the psychologicalstate of adolescents as the basis and perform a large amount of data training by a computer to accurately obtain the perceptual results reflecting the psychological stress state of the adolescents, are accurate and effective, and provide a basis for psychological counseling of the adolescents.

The invention discloses an emergency safety pre-control system and method. The system includes: a vibration detector used to generate electric charges by compressing minerals to detect vibrations, and physical therapy for quantitative physical therapy on the human body by detecting the amount of electric charges coat. The advantages of the present invention are: simple structure, including a vibration detector and a physiotherapy jacket. When workers are working in dangerous environments such as mines, tunnels, and buildings, the system can monitor changes in the environment in time. The timely perception of major accidents in the early stage is conducive to the operators to take timely measures to avoid the expansion of the accident, and is also conducive to the timely evacuation and escape of the operators to avoid casualties. When people cannot evacuate safely, this system can purify the water source to ensure the safety of drinking water to maintain the lives of the trapped people, and relieve the psychological pressure of the trapped people through emergency lighting, which is helpful for the trapped people to save themselves and be rescued. In addition to critical situations, during daily operations, this system can provide massage and physical therapy to workers, relieve the damage to workers' health caused by high-intensity work, and prevent the occurrence of occupational diseases.

The invention discloses a breast oppression device and method. The breast oppression device comprises a mechanical arm, an oppression tray assembly, a breast tray, a pressure sensor, a position sensor, a motor, a transmission assembly and a controller. In order to realize a better image effect in X-ray breast DR (digital radiography), breasts are required to be oppressed and are pressed to be thinand spread, X-rays penetrate the breasts with uniform thickness, and the ideal diagnostic image effect is realized. According to the device, the position sensor can be utilized for detecting oppression thickness, the pressure sensor can be utilized for detecting oppression force, detected data is transmitted to the controller to control the motor, in the process of oppressing the breasts, the device can rapidly move when no pressure exists, can realize slowdown movement when contacted with the breasts and keeps pressure when reaching the pressure value, by means of the variable speed, time isgreatly shortened, efficiency is improved, flexible oppression is realized, psychological pressure of an examiner can be avoided, discomfort of a patient is relieved, and the device can be finely adjusted by a fine tuning knob when in place and has a function of rapid emergency release when encountering outage.

The invention discloses an intelligent warehouse sensing device (100). The device is used for monitoring sitting, sleeping and rest information and body physiological information of a detainee in a monitored cabin. The device is characterized by including a lying cushion (1), a piezoelectric sensor and a radar device, wherein the piezoelectric sensor can detect the sitting, sleeping and rest information of the detainee, the radar device can detect the physical and physiological information of the detainee, and the piezoelectric sensor and the radar device are arranged in the lying cushion (1).The device has the following technical effects that the abnormal limb behavior and/or abnormal physiological activities of supervised personnel or detainees are monitored so that an early alarm can be given, a straw shows which way the wind blows, prevention is performed before something happens, and the work pressure and psychological pressure of police officers or supervisors are reduced.