39 results about "Stimulus frequency" patented technology

The invention discloses a multi-frequency time sequence combined steady-stage visual evoked potential brain-computer interface method. The method comprises the following steps of: putting a measurement electrode on the head of a subject and connecting the measurement electrode with an electroencephalogram amplifier, a computer and a computer screen; and forming n different representation targets by using n stimulus frequencies, wherein n is an integer more than 1; and realizing the representation of the visual targets and the visual feedback of the subject by using the computer screen. The method improves the information transmission rate of the brain-computer interface by constructing a plurality of representation targets from a few stimulus frequencies, has the advantages of multiple representation targets and high specificity of the detection result, can realize communication between the disabled having normal mind but suffering from paralysis of the neuromuscular system and an external apparatus, and is suitable for a normal person on occasions that the limbs are inconvenient to control.

The invention relates to a stimulus frequency otoacoustic emission (SFOAE) tuning curve detection and calibration system, which comprises a computer, a sound card, an acoustic sensor and a preamplifier. A sound card driving system and a test calibration execution system are arranged in the computer. An acoustic sensor position calibration module in the test calibration execution system is used for calibrating the position of the acoustic sensor. An SFOAE Fine Structure detection module is used for extracting SFOAEs within a target stimulus frequency range, and determining optimal stimulus frequency. An SFOAE I/O function detection module is used for extracting a relationship between frequency otoacoustic emissions and stimulus sounds within a stimulus intensity range at the optimal stimulus frequency, and determining an inhibition rule. An SFOAE turning curve detection module is used for extracting the SFOAEs in line with the inhibition rule at the optimal stimulus frequency, and drawing an SFOAE tuning curve. The SFOAEs can be quantitatively detected and analyzed by extracting characteristic signals of the SFOAEs; and the system can be widely applied to audibility detection.

The invention relates to a method and device of an implanted telemetering stimulating system based on wireless power transmission and two-way communication. In the system of the invention, the wireless power transmission and two-way communication implanted telemetering system is used to perform telemetering to the physiological parameters such as blood pressure, electrocardio, temperature and mobility safely and stably for long-term in natural physiological status, an external program is used to control the internal system and perform electrostimulation to and control heart, nervus and muscle in vivo; a wireless power transmission system is used to perform external wireless high-efficiency energy supply to a miniature electronic capsule, physiological signals are transmitted to a signal conditioning and processing module through a signal sensing module for conditioning and emitted by a special ultra-low power consumption launch module, an external receiving system receives the signals, processes the signals and sends the signals to an external computer data analysis system; and an external program control module sends the stimulus signals to the stimulation functional module of an internal miniature electronic capsule system for functional stimulation through a wireless transmitting and receiving module and can also perform external adjustment to stimulus frequency, stimulus amplitude, stimulus period and the like.

A method and apparatus for treatment of neurodegenerative diseases including depression, mild cognitive impairment and dementia. An electrical signal comprising a stimulation frequency is generated and applied transcutaneously to a patient over at least one treatment cycle comprising a plurality of intervals, wherein each interval comprises increasing the stimulation frequency to a high frequency and decreasing the stimulation frequency to a low frequency.

The embodiment of the invention relates to an identity recognition method and device based on brain electrical signals. The method includes the steps of determining a target stimulus frequency sequence, displaying n segments of stimulus signals corresponding to the target stimulus frequency sequence for a to-be-tested user; obtaining n segments of steady sate visual evoked potential (SSVEP) signals generated by the n segments of the stimulus signals; when the similarity between n segments of the SSVEP signals and n segments of preset SSVEP signals is greater than or equal to a threshold value, determining that the identity of the to-be-tested user is correct; if not, determining that the identity of the to-be-tested user is wrong. According to the identity recognition method and device based on the brain electrical signals, identity recognition is conducted through the SSVEP signals; compared with existing brain electrical identity recognition methods, stimulus duration can be shortened, signal features are more stable, an identity recognition system constructed on the basis of the identity recognition method and device is higher in confidentiality and uneasy to duplicate and counterfeit.

The invention relates to an auditory sensitivity detection system based on stimulus frequency otoacoustic emission. The detection system comprises an audio card, an acoustic sensor, a computer and a signal feedback device; an input end of a micro loudspeaker is connected with the audio card, an output end of a micro microphone is connected with the audio card, and the signal feedback device is connected with the computer; an auditory sensitivity comprehensive detection system is arranged in the computer, a test execution system comprises an intensity sensitivity detection module based on SFOAEs and a frequency sensitivity detection module based on SFOAEs, and the intensity sensitivity detection module based on SFOAEs is used for determining auditory intensity threshold values correspondingto corresponding frequency points by detecting stimulus frequency otoacoustic emission detection data at all the frequency points; the frequency sensitivity detection module based on SFOAEs is used for extracting a stimulus frequency otoacoustic emission inhibition tuning curve at a designated frequency point and determining the frequency sensitivity at the designated frequency point.

A circuit for measuring an impedance of a device under test (DUT). The circuit includes: (i) circuitry for generating a stimulus wave at a stimulus frequency; (ii) an amplifier circuit coupled to the DUT to present a response signal from the DUT in response to the stimulus wave; (iii) switching circuitry for selectively coupling, between the stimulus wave and an input to the amplifier, either the DUT, a first calibration impedance, or a second calibration impedance. With the switching functionality, calibrations are performed so to provide a measure of impedance of the DUT in response to the plural calibrations.

A method is described for an auditory prosthesis system to generate electrical stimulation signals to stimulation contacts on an outer surface of an implanted electrode array. An input audio signal having a prominent sensed frequency is pre-processed to produce multiple representative frequency band signals. Each of the frequency band signals is then processed to generate corresponding electric stimulation signals for the stimulation contacts. Each of the electric stimulation signals has an associated stimulation frequency, and for at least one of the electric stimulation signals, the stimulation frequency is varied to maintain an integer ratio between the stimulation frequency and the prominent sensed frequency of the input audio signal.

Use of rTMS having a range of stimuli frequency of 1-100 Hz, with 100-3000 pulses, given at each stimuli-session, and a stimulus intensity of 1-300 Ampere per microseconds, to induce certain electric fields in cells or tissue by the use of pulsed magnetic fields in healthy persons to modulate the proliferation, differentiation and/or migration of neural stem cells or progenitor cells in the adult central nervous system (CNS) especially in the hippocampal formation of dentate gyrus to improve memory and aid in improvement of stress-related syndromes, such as burnout.

A somatosensory touch excitation generator comprises a stepping motor, a set of magnetically-operated mechanisms, a set of guide rail sliding block mechanisms and a constant frequency control unit. The output end of an upper computer of the constant frequency control unit is connected with the input end of a wireless transmitting module. The stimulus frequency is transmitted to the wireless signal transmitting module through the upper computer, and then the data are transmitted through the output end of the wireless transmitting module, received by the input end of a wireless receiving module and transferred to a micro-control module through the output end of the wireless receiving module. The micro-control module generates pulse signals of certain frequency after calculation and controls rotation of magnetic steel of the magnetically-operated mechanisms, and therefore magnets move vertically and generate the touch excitation effect. According to the somatosensory touch excitation generator, accurate and adjustable low frequency touch vibration excitation capable of being felt by the human body is adopted, the power source is stable and reliable, the frequency is accurate and adjustable, wounds brought in the use process can be avoided, and various kinds of accurate frequency somatosensory touch excitation are flexibly provided. The somatosensory touch excitation generator is simple in structural design, high in integration level, low in noise and convenient to carry.

The invention provides a hearing threshold and/or hearing state detection system and method. The detection system comprises a collection and transmission system for transmitting a stimulation signal and collecting an ear canal signal and a hearing threshold analysis and prediction system including a hearing threshold detection module, a conventional test module and/or a hearing state screening module. The hearing threshold detection module determines hearing thresholds corresponding to different stimulation frequencies through a pre-trained network model; the conventional test module adaptively selects a test intensity range through the collection and transmission system and predicts a hearing threshold corresponding to the stimulation frequency point through a pre-trained network model; and the screening module is used for screening the hearing state through the pre-trained network model by the collection and transmission system. The detection result is accurate and the hearing threshold and/or hearing state detection system and method can be suitable for different demand scenes.

The invention relates to the technical field of a system for treating depression based on 3D printing ear molds. The system comprises a nervus auricularis vagi stimulation system, a mobile equipment module, a hospital PC terminal, a maintenance terminal and a cloud server, wherein the nervus auricularis vagi stimulation system comprises a pulse detecting module, a bluetooth module, a state displaymodule, a power supply module, a DC-DC adjustable voltage-increasing voltage-stabilizing module, a first voltage increasing module, a second voltage increasing module, a third voltage increasing module and a data processing module; and the stimulus frequency is 15-30Hz, the output current is 1-10mA ( 250 omega load impedance), the output power is 0.1-0.3VA ( 250 omega load impedance ), the pulsewidth is 0.2ms +/- 30%, and the treatment course is timed to 20-40min. According to the system for treating depression, provided by the invention, stimulus parameters are set, so that data in brain waves and the depression can be well combined for analysis, and the effect of stimulation for treatment is exerted.

The invention discloses an SSVEP electroencephalogram signal recognition method based on MVMD-CCA. The method can decompose an electroencephalogram signal into a plurality of multivariate modulation components, reduces the impact of non-correlated brain activity and artifacts in the electroencephalogram signal, and improves classification precision. The method comprises the following steps: collecting a multichannel SSVEP electroencephalogram signal as an electroencephalogram signal to be recognized; and setting the number K of to-be-decomposed components, constructing a variational problem, solving the variational problem by adopting an ADMM algorithm, and decomposing the electroencephalogram signal to be recognized into K multivariate modulation components; defining a reference signal according to the visual stimulus frequency for inducing the electroencephalogram signal to be recognized; solving a weighted correlation coefficient of the specific stimulus frequency fi; and taking thefrequency corresponding to the maximum weighted correlation coefficient as the inductive stimulus frequency of the electroencephalogram signal to be recognized.

The invention discloses an electrode-skin impedance model parameter identification method based on stimulation frequency response. The method is characterized in that resistance and capacitance parameters of the electrode and finger epidermis, finger dermis and subcutaneous tissue are fully considered, an electrode-skin impedance model based on stimulation frequency response is provided for the first time, an improved sine and cosine algorithm is used for identifying parameters of the electrode-skin impedance model, and an accurate electrode-skin impedance model is obtained.

The invention relates to a visual and auditory combined mixed brain-computer interface method comprising the following steps: placing an electrode on the head of a user, wearing earphones with different stimulation frequencies on left and right ears, presenting a visual motion stimulation unit in front of the user through a computer screen, playing amplitude-modulated sound wave auditory stimulation at the same time, and after visual stimulation and auditory stimulation are formed, enabling a user to focus on target visual stimulation and a target auditory channel, sending a measured electroencephalogram signal to a computer, after filtering and weighted average preprocessing, sending the electroencephalogram signal to a canonical correlation analysis algorithm for online identification, and obtaining a visual stimulation and auditory stimulation identification result and feeding the result back to a computer screen to be presented to the user; visual stimulation and auditory stimulation are adopted at the same time, electroencephalogram signals are obtained from two dimensions, the stability and robustness of brain-computer interface application are improved, and a new thought is developed for improving the brain-computer interface information dimension.

The invention relates to a modularized upper limb stimulation therapeutic apparatus based on a root technology. The modularized upper limb stimulation therapeutic apparatus comprises a therapeutic apparatus body, a vibration stimulation module, a temperature stimulation module, a light tactile stimulation module and an electrical stimulation module, wherein a treatment cavity and a first mounting cavity, which mutually communicate, are arranged in the therapeutic apparatus body; a central shaft is installed in the first mounting cavity; the vibration stimulation module, the temperature stimulation module, the light tactile stimulation module and the electrical stimulation module are fixed to the central shaft; and the stimulation part of each module extends into the treatment cavity. The modularized upper limb stimulation therapeutic apparatus based on the root technology integrates vibration stimulation, temperature stimulation, light tactile stimulation and electrical stimulation modes, stimulation frequency and intensity can be accurately set, an integration degree is high, and the stimulation modes are diversified.