88 results about "Auditory stimulation" patented technology

The present disclosure describes systems, devices, and methods of benefiting a cognitive state or function of a brain of a subject. The systems can include a portable system comprising a single headset device to be worn by a subject, comprising a pair of glasses configured to provide a visual stimulus to the subject, and a pair of supra-aural headphones configured to provide an auditory stimulus to the subject.

The invention belongs to the field of brain-computer interfaces, and particularly relates to a decision-making brain-computer method and device based on virtual reality induction, which combines two psychological decision-making tasks of auditory stimulation and visual stimulation and utilizes virtual reality equipment to create a decision-making brain-computer interface normal form of panoramic interaction, so that a subject can fit a scene facing a decision in reality to the greatest extent, and the accuracy of decision making is improved. The sensory motor cortex is effectively activated, and cooperative activation of the cognitive-motor neural network is induced; a decision interaction feedback link is added to enhance a decision stimulation effect and a cranial nerve feedback mechanism by analyzing related characteristics P300, power spectral density and brain network function connection quantity of the acquired electroencephalogram signals during normal form execution decision reaction. Compared with the prior art, the method has the advantages that immersive audio-visual stimulation and task interaction feedback are brought into a decision-making brain-computer interface for the first time, and a new scheme with neural rehabilitation and human-computer interaction functions is provided for neural feedback training of cognitive functions.

The invention discloses a method and device for distinguishing different subtypes of attention deficit hyperactivity disorder, and the method comprises the steps: setting visual stimulation information and auditory stimulation information, the visual stimulation information comprises visual letter information and visual square position information, and the auditory stimulation information comprises auditory letter pronunciation information and auditory digital pronunciation information; generating a stimulation strategy according to the visual stimulation information and the auditory stimulation information; performing visual and auditory stimulation processing according to the stimulation strategy to obtain a correct rate, average correct response time and a comprehensive score; and according to the correct rate, the average correct reaction time and the comprehensive score, carrying out attention deficit hyperactivity disorder subtype distinguishing treatment to obtain a subtype distinguishing result. According to the method, different subtypes of attention deficit hyperactivity disorder are distinguished, and the accuracy and efficiency are improved. The method can be widely applied to the technical field of behavioral data analysis.

The invention discloses a system and method for performing cranial nerve stimulation based on olfaction, hearing and synchronous magnetomotive stimulation, and the system comprises a magnetic therapy bearing main body which is a magnetic therapy helmet, serves as a basic bearing structure of the system, and is used for installing all functional assemblies, providing magnetic therapy physical auxiliary stimulation, and achieving the cooperation of magnetic therapy and multi-mode stimulation; the olfactory stimulation subsystem is used for providing olfactory stimulation with precise regulation and control; the auditory stimulation subsystem is used for providing personalized audio stimulation; the magnetomotive stimulation subsystem is used for providing magnetomotive stimulation; the nerve stimulation cooperation subsystem is used for planning multi-mode stimulation as a whole and achieving regulation and control. Through the synergistic effect of olfactory stimulation, auditory stimulation and magnetomotive stimulation, three major neural pathways of olfactory, auditory and somatosensory can be activated at the same time, multi-dimensional nerve resonance is formed, the brain wave synchronization degree is remarkably improved, and the adjuvant therapy effect on Alzheimer's disease, cognitive impairment and other diseases is superior to that of single-mode stimulation.

The invention discloses a polarization-based multichannel fNIRS auditory stimulation detection system, which comprises a signal generator module, a light source and detector module, an amplifier module, a voltage-current module, a power supply module, a data acquisition module and an intelligent terminal, the light source and detector module generates two emergent light sources with different wavelengths to a to-be-detected area according to the current signal with the carrier wave, and receives second polarized light and third polarized light reflected by the to-be-detected area; the amplifier module amplifies and converts the second polarized light and the third polarized light into voltage signals; the intelligent terminal is used for calculating the blood oxygen concentration change through the electric signal. According to the invention, the interference of reflected light and noise of surface tissues on blood oxygen concentration signals of a brain area is reduced.

The invention discloses a method for detecting interpersonal nerve synchronization under audio-visual stimulation, which comprises the following steps of: designing a double-person super-scanning experiment normal form, collecting double-person electroencephalogram signals, and constructing a database of visual stimulation and auditory stimulation; preprocessing the data in the database to obtain electroencephalogram signals of four different frequency bands delta, theta, alpha and beta, extracting the electroencephalogram signals of the alpha frequency band, segmenting the electroencephalogram signals, and calculating a correlation ISC value between subjects of each segment; an intra-brain network and an inter-brain network are constructed by constructing a functional connection matrix, and the similarity of the intra-brain network and the global efficiency of the inter-brain network are calculated, so that the cooperation and synchronization degree between neural activities of subjects under visual stimulation and auditory stimulation is effectively evaluated. The invention further discloses a system for detecting interpersonal nerve synchronization under audiovisual stimulation. According to the method, the difference of subjects is reduced by standardizing experimental conditions, and the influence of single sensory stimulation on an intracerebral network activation mode is studied.

A method for predicting a development level difference of language and communication capability normality of a healthy infant or toddler. The method comprises obtaining electroencephalogram (EEG) or magnetoencephalogram (MEG) waveform data of a healthy infant or toddler caused by external auditory stimulus; obtaining, from the EEG or MEG waveform data, quantitative data that represents measurement index data of a central nervous system caused by the external auditory stimulus; and using a data set to train a machine learning classifier, so as to obtain a prediction result. Further provided are a relevant tool and an integrated system.

The invention provides a child burn dressing change pain management method and system based on tactile and auditory stimulation. The method comprises the following steps: constructing a personalized pain management model, and collecting multi-modal data of a patient; and extracting fusion multi-modal data features, and generating tactile and auditory stimulation parameters by using a reinforcement learning model after obtaining fusion features. And the parameters are applied to touch and hearing devices, and personalized stimulation is synchronously applied during dressing change. Cooperative regulation and control of tactile and auditory stimulation are realized by means of multi-modal data fusion and reinforcement learning models, that is, time domain, emotion and electroencephalogram features are deeply fused to generate fusion features, and tactile and auditory parameter joint action vectors are generated through an Actor network based on the fusion features. Through multi-mode information interaction, the tactile stimulation inhibits wound pain signal conduction, the auditory stimulation adjusts amygdaloid nucleus emotional response, the analgesia efficiency is improved through cooperation of the tactile stimulation and the auditory stimulation, and the tolerance threshold value of children to single stimulation is reduced.

The invention discloses a cognitive function intervention method and system based on multi-mode space-time dynamic decoding biological feedback, and belongs to the technical field of artificial intelligence algorithms and noninvasive nerve regulation. According to the method, brain nerve activity signals and autonomic nerve cooperation signals are captured in real time, the signals are subjected to standardization processing by adopting a multi-modal signal cascade preprocessing algorithm, and cognitive feature extraction of fusion signals and dynamic distribution of multi-modal signal feature weights are realized in combination with a circulating double-flow self-encoding model; and thus, the individual cognitive state is accurately evaluated. And based on the evaluated cognitive state, dynamically identifying and quantifying into self-perceived visual and auditory stimuli, and constructing an iterative closed-loop feedback cognitive nerve plasticity regulation loop to realize individualized targeted regulation of the cognitive function. The method is suitable for non-invasive individualized intervention of the cognitive function of the Parkinson's disease patient, and has remarkable clinical application potential and social value.

The application discloses a semantic context-related auditory brain-computer interface consciousness detection system, uses a brain-computer interface and a deep learning technology to carry out consciousness detection, designs a speech context-related auditory brain-computer interface paradigm, through using animal sounds as auditory stimulation, adds a semantic context related to the stimulation to improve the attention of a subject to the paradigm, thereby improving the quality of an event-related potential induced by the paradigm and improving the performance of the brain-computer interface. Through improvement of an EEG-Inception model for feature extraction and classification, the EEG-Inception model can extract more effective electroencephalogram signal features and also has a better classification effect under a small sample size. Through innovation and improvement of the brain-computer interface paradigm and a detection and classification algorithm, the application improves the performance of the auditory brain-computer interface and solves the problem that some patients with consciousness disorders cannot use a visual brain-computer interface for consciousness detection because they cannot control eye movement.

The present invention relates to the field of rehabilitation training technology, and specifically discloses a method, system, and device for visual and auditory stimulation-assisted walking training. The present invention generates visual and auditory data with the help of auxiliary training equipment to guide the user's walking training, adjusts parameters according to the user's physical condition, obtains limb coordination characteristics and muscle group coordination characteristics based on multiple joint motion trajectory information, and calculates gait parameters based on the limb coordination characteristics and muscle group coordination characteristics to obtain accurate limb gait information. Then, it is determined whether the limb gait information meets preset conditions. If not, posture auxiliary information is generated based on the analysis results, and the parameters of the auxiliary training equipment itself are adjusted according to the posture auxiliary information, and the joint motion trajectory information is re-acquired; if it meets the conditions, the equipment parameters are fixed to form a complete and scientific home rehabilitation training system to ensure stable and coherent training.

A cognitive assessment and stimulation method and a robotic platform for hippotherapy that comprises a structure comprising at least a high torque servomotor, and an articulated mechanism that simulates the horse's head, at least two load cells placed on the articulated mechanism of the structure, for controlling direction and speed, at least one seat module, that comprises at least one inertial sensor of posture intended to be placed on the patient to determine his / her posture, and one or more load cells placed on the seat to determine the load distribution thereon; and at least two pressure sensors for speed control and that further comprises a temperature control module, which allows temperature control, a visual stimulation sub-module and / or an auditory stimulation sub-module, a crane type module coupled to a harness comprising some stirrups which allow the transfer of the patient and also providing control of weight on the platform and give security to the patient, avoiding the risk of falling.

Disclosed technology includes a sensory prosthesis configured to automatically select a broadcast channel based on a comparison with a signal from a sensor of the sensory prosthesis. In an example, a sound processor automatically connects to an appropriate wireless broadcast audio channel by comparing the sound the sound processor receives on a microphone with the audio the sound processor receives from each of the wireless broadcast channels that the sound processor can receive. If the sound processor finds a match between the sound from the microphone and the sound from a broadcast, then the sound processor automatically selects the matching wireless broadcast channel. The sound processor then provides auditory stimulation to the recipient based on the selected broadcast channel.

An attention attracting system includes HMI devices that are mounted on a subject vehicle; and an attention attracting device that transmits, to a driver, a possibility of contact between the subject vehicle and an object through the HMI devices. The attention attracting device includes a processor that identifies a risk position at which the contact occurs and a risk level of the contact, estimates a degree of fatigue of the driver, and transmits the risk position and the risk level to the driver. The processor selects an HMI device to be used in accordance with the degree of fatigue of the driver, provides a tactile stimulus or an auditory stimulus to the driver through a tactile HMI device or an auditory HMI device at a remarkableness level corresponding to height of the risk level, and transmits visual information to the driver through a visual HMI device.

An acoustic aural development system. A medical device is worn by an infant while the infant is in a neonatal intensive care unit (NICU) and is in communication with an acoustic processing station. The device and station protect the child's hearing by active acoustic filtering, while, at the same time, provides aural stimulation for development. Acoustic filtering is done at the acoustic processing station to reduce power and electronics required by the wearable medical device.

A method and device for stimulating cerebrospinal fluid flow is disclosed. The method may include acquiring an electroencephalography (EEG) signal from a human subject, predicting a target feature of the EEG based on the EEG signal, and playing an auditory stimulus to coincide with the target feature of the EEG learned by a neural network. The target feature may include a peak of a slow wave. The method may include using a recurrent neural network to predict the target feature for a human subject.

To provide a method and system for recommending and composing emotional music.SOLUTION: A method includes identifying a listener's current emotional state and a target emotional state, and generating an audio stream that is a music playlist to be presented to a user as auditory stimulation with an intention of producing a controlled trajectory of the listener's emotional state from the current state to the target state. The audio stream is generated by a machine learning system trained using data from the listener and / or other users indicating effectiveness of specific audio segments having specific features in producing a desired emotional trajectory, and is updated based on changes in an emotional state induced in the listener after exposure to the auditory stimulation. The machine learning system acquires, over time, a robust interpretation of a relationship between music and human emotion, and composes, masters, and / or adapts music configured to induce specific emotional responses in listeners.SELECTED DRAWING: Figure 17A

The present invention discloses a multivariate neural decoding method based on OPM-MEG and RSA, which belongs to the field of biomedical engineering technology. The method comprises: obtaining resting-state structural MRI data and OPM-MEG scan images for joint registration; playing auditory stimulation and completing OPM-MEG data acquisition, preprocessing the data, and obtaining segmented data; averaging different trials of the same auditory stimulation at the segmented data level and constructing a neural response pattern vector, calculating the Pearson correlation of all possible pairwise stimulus pairs at each time point, obtaining a representation similarity matrix and an average result of the neural response pattern similarity; determining the time points with differences at each time point; estimating the source activation time series of each subject, and determining the activation area using a T-test. The present invention can reveal the decoding representation process of the brain by calculating the distance of the neural response pattern in the representation space, thereby more comprehensively understanding the response pattern of the brain under specific tasks or conditions.

Provided are an integrated tinnitus system for stimulating heterogeneous sensory organs through a user terminal, and an integrated tinnitus therapy method using same. The method may comprise the steps of: measuring a tinnitus frequency of a user; generating a vibration stimulation signal frequency having the same frequency as the tinnitus frequency, and an auditory stimulation signal frequency having the same frequency as the tinnitus frequency; transmitting the vibration stimulation signal and the auditory stimulation signal to the user; and storing tinnitus therapy information including durations of the vibration stimulation signal and the auditory stimulation signal received by the user.

The invention relates to a brain function assessment method, device and equipment, a storage medium and a program product, and the method comprises the steps that a stimulation signal set is sent to a testee, and the stimulation signal set comprises at least one of a somatosensory stimulation signal set, an auditory stimulation signal set, a visual stimulation signal set, a language stimulation signal set, a motion stimulation signal set and a cognitive stimulation signal set; collecting brain function signals of the testee during the period of sending the stimulation signal set to the testee; and evaluating the brain function of the testee according to the brain function signal of the testee and the standard brain function signal.

An audio output system comprising: an audio output device configured to output sound content for auditory stimulation of infants and young children; a user device configured to control the audio output device; and a server connected to the user device and the audio output device through communication networks, respectively, and configured to provide a service environment for controlling the audio output device to the user device, wherein the audio output device includes an audio output station including a sound figure corresponding to the sound content and a docking space to which the sound figure is docked, and configured to recognize the sound figure docked to the docking space and to output the sound content corresponding to the recognized sound figure, wherein the service environment includes a function of changing the sound content corresponding to the sound figure, and wherein the server is configured to receive a request to change the sound content corresponding to the sound figure from the user device and to process the request to change the sound content corresponding to the sound figure in consideration of a state of the audio output device.

The present invention discloses a method and system for rehabilitating a patient with a limb disability by providing repetitive motion therapy. The system is configured to receive biomechanical data from the patient regarding repetitive movements performed using a first side and a second side of the body, respectively, and select an entrainment side based on the data to provide the repetitive motion therapy. The system further performs the repetitive motion therapy by: providing auditory stimulation to the patient, the auditory stimulation including a beat signal output at corresponding beat times; receiving time-stamped biomechanical data of repetitive movements performed by the patient using the entrainment side associated with the corresponding beat times of the beat signal; calculating an entrainment potential of the entrainment side by comparing the timing of the repetitive movements with the timing of the beat signal; and modifying the auditory stimulation based on the calculated entrainment potential.

The invention provides an implantable brain-ear collaborative interface microsystem, an implantable component and a hearing enhancement method, the system comprises the implantable component and an in-vitro component, the implantable component collects a neural signal indicating a visual attention direction in a brain and receives an auditory stimulation instruction from the in-vitro component, and the auditory stimulation instruction is sent to the in-vitro component. The pulse electrical stimulation signal is converted into a pulse electrical stimulation signal to stimulate a cochlea; the in-vitro assembly collects a plurality of sound source signals in an environment where a user is located, receives a neural signal sent by the implantable assembly, determines a target visual direction according to the neural signal, enhances a sound source in a corresponding direction, encodes an enhanced audio into an auditory stimulation instruction, and returns the auditory stimulation instruction to the implantable assembly. According to the method and the device, a technical path for guiding auditory signal processing according to visual attention related neural signals is realized, so that the generation of auditory stimulation is associated with a spatial direction concerned by a user.

The present application relates to the field of virtual reality, in particular to a lung rehabilitation nursing psychological counseling method and system based on virtual reality. The method collects the chest and abdominal girth change signal of the patient, calculates the respiratory flow rate curve through band pass filtering and peak detection algorithm, identifies the inspiration starting point, expiration starting point and breath holding starting point on the respiratory flow rate curve as the respiratory phase turning point. The digital phase-locked loop mechanism is introduced, the respiratory phase turning point is taken as the reference clock signal, the actual presentation time of the virtual visual and auditory stimulation is taken as the output signal of the voltage-controlled oscillator, the rendering pipeline delay of the visual and auditory generation component is adjusted through closed-loop feedback, so that the phase delay of the virtual visual and auditory stimulation is constantly within the preset neuromuscular response threshold. The present application eliminates the phase lag and drift phenomenon between the audio-visual guide signal and the real breathing action of the patient, and enhances the neural drive synchronization of the diaphragm and auxiliary respiratory muscles under the rhythmic audio-visual stimulation.

The present disclosure describes systems, devices, and methods of benefiting a cognitive state or function of a brain of a subject. The systems can include a portable system comprising a single headset device to be worn by a subject, comprising a pair of glasses configured to provide a visual stimulus to the subject, and a pair of supra-aural headphones configured to provide an auditory stimulus to the subject.

This invention relates to the field of signal recognition technology, specifically to a method and system for recognizing neurophysiological signal patterns in the language development of premature infants. The method includes acquiring initial neurophysiological response information and auditory stimulation parameters collected during auditory stimulation of the premature infant; extracting language development feature information; determining the neural response state of the premature infant to the current stimulus based on the language development feature information; adjusting the auditory stimulation parameters according to the neural response state to obtain adjusted auditory stimulation parameters; using the adjusted auditory stimulation parameters to provide further auditory stimulation to the premature infant, determining the adjusted neurophysiological response information; and recognizing the neural development of language in the premature infant based on the adjusted neurophysiological response information to obtain the neural recognition result of language development in the premature infant. The purpose of this invention is to solve the problem of inaccurate assessments due to biases in the existing technology for evaluating the language abilities of premature infants.

The embodiment of the invention provides a personnel cognitive competence evaluation method based on nerve regulation, edge computing equipment and a medium, in the personnel cognitive competence evaluation method based on nerve regulation, the edge computing equipment obtains a behavior performance score of a user through target presentation, memory interval and quantity feedback; according to the target frequency, visual stimulation and auditory stimulation are conducted on the user, and electroencephalogram signals of the user are collected. And then, the edge computing device processes the electroencephalogram signal to obtain the power spectral density of the electroencephalogram signal, so that the wave power of a target frequency band can be obtained according to the power spectral density, and the cognitive ability score of the user can be obtained according to the behavior performance score of the user and the wave power of the target frequency band. Therefore, the cognitive ability of the user can be evaluated, and the method can integrate the behavior performance and the electroencephalogram signal of the user to scientifically reflect the memory and cognitive state of the user.

The embodiment of the present disclosure provides a non-invasive brain-computer interface system based on earphone real-time electroencephalogram monitoring-auditory stimulation, and relates to the technical field of neural engineering. The system comprises an in-ear earphone device and an external control device. The in-ear earphone device is used for collecting the brain wave signals of a user, transmitting the brain wave signals to the external control device, generating a sound stimulation signal based on a sound stimulation trigger instruction, and delivering the sound stimulation signal to the ear of the user for sound stimulation. The external control device is used for detecting whether there is a characteristic sharp-slow wave signal corresponding to absence epilepsy attack in the brain wave signals. When the characteristic sharp-slow wave signal corresponding to the absence epilepsy attack is detected, the target sharp-slow wave of the brain wave signals is extracted, a sound stimulation trigger instruction is generated based on the sharp wave component of the target sharp-slow wave, and the stimulation trigger instruction is transmitted to the in-ear earphone device. Real-time and accurate monitoring and non-invasive closed-loop intervention of absence epilepsy attack can be realized, the system has high safety, and is portable and comfortable.