120 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 Multisensory Simulation System comprises systems including: an Omni-Directional Treadmill (ODT), a Gravity Modification System (GMS), a Motion and gesture Tracking System (MTS), a Data Analytics System (DAS), a Visual Stimulation System (VSS), an Auditory Stimulation System (AUSS), an Operator Interface System (OIS), a User Harness System (UHS), a Tactile Stimulation System (TSS), an Atmospheric Simulation System (ATSS), a Neurological Stimulation System (NSS), an Olfactory Stimulation System (OSS), a Gustatory System Stimulation System (GSS), a User Monitoring System (UMS), a Controller, a Game Engine System (GES), database, a Communication Unit (CU), a User Safety System (USS), and a communication bus.

Non-pharmaceutical systems and methods of treating the symptoms of fibromyalgia are described. The method includes administering a therapeutically effective amount of a sensory stimulus to a person, wherein the sensory stimulus includes one or more visual stimuli and one or more auditory stimuli.

The invention provides a virtual reality multi-sensory stimulation virtual reality system for a stroke laboratory mouse, which relates to the technical field of medical experiments and comprises a treadmill, a treadmill adjusting component, a weight reduction system, a visual system, an auditory stimulation system, a tactile stimulation system, an olfactory stimulation system, a reward and punishment system, an information acquisition system and a main control system. According to the invention, by designing the weight reduction system, the movement of the experimental mouse is adjusted, the virtual reality multi-sensory stimulation experiment of the stroke experimental mouse which cannot support 100% of the weight of the mouse can be realized, and a visual system, an auditory stimulation system, a tactile stimulation system, an olfactory stimulation system and a reward and punishment system are matched; post-stroke nerve remodeling and motion mode reconstruction are promoted through multi-sensory-channel stimulation, and an important foundation is laid for the next step that virtual reality is used for human body rehabilitation training.

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 relates to the technical field of rehabilitation training, and particularly discloses a method, system and device for assisting walking training through visual and auditory stimulation. Visual and auditory data is generated by means of auxiliary training equipment to guide a user to walk and train, parameters are adjusted according to the body state of the user, limb coordination characteristics and muscle group coordination characteristics are obtained according to the multiple pieces of joint movement track information, gait parameters are calculated according to the limb coordination characteristics and the muscle group coordination characteristics, and the gait training accuracy is improved. The method comprises the following steps: acquiring accurate limb gait information, then judging whether the limb gait information meets a preset condition or not, if not, generating posture auxiliary information according to an analysis result, adjusting own parameters of auxiliary training equipment according to the posture auxiliary information, and re-acquiring joint movement track information; if yes, equipment parameters are fixed, a complete and scientific home rehabilitation training system is formed, and it is ensured that training is stable and coherent.

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 invention relates to a mixed brain-computer interface method combined with visual and auditory weak implicit stimulation, which is technically characterized by comprising the following steps of: determining a video stimulation interface, the number of visual stimulation targets and visual stimulation attributes, and realizing a visual weak implicit stimulation function in a high-frequency flickering mode of a peripheral visual field; the left and right ears apply binaural frequency division low sound pressure level auditory stimulation signals to realize an auditory weak implicit stimulation function; simultaneously performing visual ambiguity stimulation and auditory ambiguity stimulation, and selectively paying attention to the auditory stimulation of the left ear or the right ear to complete a mixed paradigm task; and extracting steady-state visual evoked potential features and auditory steady-state response features of the electroencephalogram signals of the user and carrying out identification and classification while visual weak implicit stimulation and auditory weak implicit stimulation are carried out, and generating a coding instruction. According to the method, a visual weak-implicit stimulation mode and an auditory weak-implicit stimulation mode are combined, two electroencephalogram signals are used for coding at the same time, the naturalness and friendly degree of man-machine interaction are improved, and meanwhile more targets can be coded with less frequency.

The invention relates to a device (20) for calming at least one animal (2) in a vehicle (1), comprising at least one monitoring unit (8) for monitoring the animal (2) in the vehicle (1) and at least one output device (10) for outputting at least one stimulus signal (11), wherein the monitoring unit (8) is configured to detect the state of the animal (2) and to create a calming program based on the detected state data, wherein, depending on the calming program, the output device (10) can be activated autonomously and outputs at least one visual stimulus signal (11, 11.3) and / or one olfactory stimulus signal (11, 11.1) and / or one auditory stimulus signal (11, 11.2) in an area surrounding the animal (2).

The invention discloses a multivariable neural decoding method based on OPM-MEG and RSA, and belongs to the technical field of biomedical engineering. The method comprises the following steps: acquiring resting state structural MRI data and an OPM-MEG scanning image for joint registration; playing auditory stimulation, completing OPM-MEG data acquisition, and preprocessing the data to obtain segmented data; averaging different test times of the same auditory stimulation on a segment data level, constructing a neural response mode vector, and calculating the Pearson correlation of all possible pairwise stimulation pairs at time points to obtain a representation similarity matrix and a neural response mode similarity average result; determining time points with differences one by one; a sequence of source activation times for each subject is estimated, and activation regions are determined using T-tests. According to the method, the decoding representation process of the brain can be disclosed by calculating the distance of the neural reaction mode in the representation space, so that the response mode of the brain under a specific task or condition can be comprehensively understood.

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.

The present invention discloses a VR fusion online brain-controlled flight simulation driving system, the system comprising: a flight instruction VR excitation module, an electroencephalogram signal acquisition and processing module, an electroencephalogram signal classification module and a VR flight simulation driving module. The flight instruction VR excitation module provides VR visual excitation and stereo auditory excitation to excite users to imagine flight instructions; the electroencephalogram acquisition and processing module collects electroencephalogram signals when users imagine flight instructions and processes them; the electroencephalogram signal classification module constructs an electroencephalogram signal classifier by extracting the features of the electroencephalogram signal data set in the training phase, and uses the classifier to classify the electroencephalogram signals of users in the online brain control phase, and sends the classification results to the VR flight simulation driving module; the VR flight simulation driving module converts the received classification results into flight instructions for VR flight simulation, and sends the flight attitude to the flight instruction VR excitation module.

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.

A driver assistance apparatus to be applied to a vehicle is configured to present behavior stability of the vehicle through auditory stimulation to a driver who drives the vehicle. The driver assistance apparatus: acquires data on sensitivity of the driver to a change in a reproduction method; selects an audio source data item to be reproduced, from among audio source data items, depending on the sensitivity of the driver; determines the behavior stability, based on a change in a behavior of the vehicle; reproduces the audio source data item by a normal reproduction way when the behavior stability is higher than a predetermined criterion; and reproduces the audio source data item by another reproduction way different from the normal reproduction way when the behavior stability is lower than the predetermined criterion.

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.

The invention relates to the technical field of neurodegenerative disease treatment equipment, in particular to an integrated non-invasive AD treatment monitoring system. Comprising an AD treatment helmet, a physiotherapy wheelchair and a remote terminal. The helmet comprises a helmet main body, a photoacoustic stimulation unit, a transcranial magnetic therapy module and a Doppler ultrasonic probe; the photoacoustic stimulation unit comprises a visual stimulation module and an auditory stimulation earphone; the transcranial magnetic therapy module comprises six magnetic therapy heads distributed at different positions of the helmet; the physiotherapy wheelchair is provided with a seat, a massager, a touch display screen, a computer host, a heart blood monitoring assembly and an adjusting button. The massagers correspond to the cervical vertebra and the lumbar vertebra in position, and phototherapy lamp beads are arranged on the massagers. The heart blood monitoring assembly monitors the cardiovascular state of the patient in real time; the adjusting button is used for adjusting the intensity of the phototherapy lamp beads; and the remote terminal is connected with the computer host in a wireless or wired connection mode. The system has the advantages that the system integration is high; and real-time monitoring and comprehensive treatment are realized by combining photo-thermal massage, visual sense, auditory sense, transcranial magnetic stimulation and the like.

A method and system for rehabilitation of a patient having a physical impairment by providing repetitive motion therapy is disclosed. The system is configured to receive biomechanical data from the patient regarding repetitive movements of the patient performed using a first and second side of the body, respectively, and select, based on the data, an entrainment side according to which repetitive motion therapy is provided. The system further performs repetitive motion therapy by: providing the patient auditory stimulus comprising beat signals output at respective beat times; receiving time-stamped biomechanical data for repetitive movements performed by the patient using the entrainment side in relation to the respective beat times of the beat signals; calculating an entrainment potential for the entrainment side by comparing a timing of the repetitive movements to the timing of the beat signals; and modifying the auditory stimulus as a function of the calculated entrainment potential.

The invention discloses an abnormal gait intervention correction method and device based on rhythmic auditory stimulation, electronic equipment and a medium, and relates to the technical field of intelligent medical treatment. The method comprises the steps that when abnormal gait intervention treatment is conducted on a target object according to rhythmic audio, inertial data of the two feet of the target object are collected in real time; taking the first preset duration as a time interval, calculating a temporary gait cycle rhythm according to the inertial data in each first preset duration, and obtaining a plurality of temporary gait cycle rhythms; a second preset time length is used as a time interval, a real-time gait cycle rhythm is calculated based on the at least two temporary gait cycle rhythms according to the second preset time length, and the second preset time length is larger than the first preset time length; and dynamically adjusting the rhythm of the rhythm audio according to the rhythm of the real-time gait cycle, and performing rehabilitation treatment on abnormal gaits based on the rhythm of the adjusted rhythm audio. According to the scheme, the rhythm of the audio can be scientifically, accurately and reasonably set, and the intervention effect of abnormal gaits can be improved.