420results about "Audiometering" patented technology

The invention relates to a hearing threshold prediction method based on frequency sweep OAEs and a deep learning model, and the method comprises the steps: employing a frequency sweep stimulation signal normal form with a unified mode to extract an SFOAEs signal and a DPOAEs signal, the stimulation sound normal form of the SFOAEs signal is a four-segment frequency sweep signal, and the stimulation sound normal form of the DPOAEs signal is a single-segment frequency sweep signal. And carrying out interference signal filtering on a residual signal of the single DPOAEs signal or the SFOAEs signal through a tracking filter with a dynamically changed zero pole so as to extract frequency sweep OAEs spectrum information. And constructing a data set of a deep learning model based on the sweep frequency OAEs spectrum information, and training and evaluating the deep learning model to obtain a hearing threshold prediction model. And calling the hearing threshold prediction model to perform hearing threshold prediction on the SFOAEs signals and the DPOAEs signals under different test intensities, and outputting hearing thresholds corresponding to the frequencies, thereby ensuring the accuracy of diagnosing the hearing loss degree.

The invention relates to the technical field of medical data processing, in particular to a data analysis and processing system based on clinical hearing detection, and aims to solve the problems that dynamic characteristics of auditory nerve response cannot be systematically described, high-dimensional multi-modal feature vectors cannot be constructed, and the data analysis and processing efficiency is low in the prior art. A stable and reliable input basis cannot be provided for intelligent classification, anomaly detection and individualized analysis, and the sensitivity and specificity of hearing state recognition are reduced; the multi-dimensional hearing feature extraction module fuses time domain, frequency domain and non-linear complexity analysis methods, systematically depicts dynamic features of auditory nerve response, constructs a high-dimensional multi-modal feature vector by integrating three-dimensional features, remarkably improves sensitivity and specificity of hearing state recognition, and improves the accuracy of hearing state recognition. The feature representation method provides a stable and reliable input basis for subsequent intelligent classification, anomaly detection and individualized analysis.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and / or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

The invention relates to a method for testing a participant's ability to accurately detect speech under background noise, comprising: (a) audibly presenting a series of 2-bit numbers, 3-bit numbers, 4-bit numbers and / or 5-bit numbers in a random or fixed order to a participant's first ear at a fixed or varying signal-to-noise ratio (SNR) in a quiet or noisy environment, (b) audibly presenting a series of 2-bit numbers, 3-bit numbers, 4-bit numbers and / or 5-bit numbers in a random or fixed order to the second ear of the participant at a fixed or random signal-to-noise ratio (SNR) in a quiet or noisy environment, where the numbers are presented in the native language of the participant or the fluent language of the participant, (c) recording the numbers or sequence of numbers correctly recognized by the participant, and (c) storing the recorded numbers or sequence of numbers at the second ear of the participant. And (d) calculating a score as a function of the percentage of the number or sequence of numbers correctly replicated by the subject, or as a function of the sound intensity difference between the speech and noise required to achieve the correct recognition of 50% sequence of numbers. The invention also relates to a device and a method for measuring the digital recognition capability related to hearing loss, and to a computer-implemented method for evaluating the speech recognition capability of a participant.

The invention is suitable for the technical field of intelligent equipment, and provides a hearing loss risk assessment method and system, intelligent equipment and a storage medium, and the method comprises the steps: a near-ear wearable device collects an audio signal through a configured acoustic sensor, carries out the sound source classification marking of the audio signal based on a current working mode, and carries out the sound source classification marking of the audio signal; and according to a set time interval or a trigger condition, counting a signal intensity mean value of each sound source type audio signal, sending a sound source classification mark and the counted signal intensity mean value to a cloud server corresponding to the user, and indicating the cloud server to carry out hearing loss risk assessment on the user according to the sound source classification mark and the counted signal intensity mean value. The hearing loss risk assessment method and device can effectively improve the convenience, accuracy and universality of hearing loss risk assessment.

The invention belongs to the field of biological medicine research and development, discloses a method and a system for collecting and analyzing auditory electrophysiological data of experimental animals, and is particularly suitable for non-human primates. The method comprises the following steps: delivering a drug to a middle ear cavity through an external auditory canal, and synchronously recording auditory electrophysiological data before and after drug administration; aBR and DPOAE multi-mode detection is adopted, and the frequency range of 4 kHz to 32 kHz is covered; setting anesthesia depth and three-electrode positioning to reduce interference; optimizing the signal-to-noise ratio through noise suppression and dynamic signal superposition; an auditory threshold database is constructed, and a machine learning model is combined to judge an injured part. The system integrates a multi-modal stimulation module, a minimally invasive drug delivery device and a data analysis platform, and supports cross-species data compatibility. The accuracy of otology medicine research is remarkably improved, the surgical operation risk is avoided, and the method is suitable for gene therapy, ototoxicity screening and other scenes.

The invention relates to the technical field of crossing of medical instruments and artificial intelligence, and provides a hearing threshold detection method based on multi-mode hearing electrophysiological signal fusion. Comprising stimulation frequency otoacoustic emission and auditory brainstem response induced by sweep frequency stimulation sound, distortion product otoacoustic emission induced by dual-tone stimulation and middle ear sound immittance / reflection signals, and a multi-task deep learning model is constructed to perform fusion analysis on the signals. According to the method, accurate quantitative regression prediction of hearing thresholds with any frequency resolution and automatic classification and discrimination of hearing loss properties are synchronously realized, the problems of single evaluation dimension and insufficient complex hearing loss analysis ability in the prior art are effectively solved, the comprehensiveness, accuracy and clinical operation efficiency of objective hearing evaluation are remarkably improved, and the method is suitable for popularization and application. And an innovative system solution is provided for fine diagnosis of the auditory function.

An earpiece is configured for providing audiometric testing. The earpiece includes an earpiece housing, an intelligent control system disposed within the earpiece housing, at least one transducer operatively connected to the intelligent control, and at least one speaker operatively connected to the intelligent control. The earpiece is configured to perform audiometric testing of a user by reproducing sounds at the at least one transducer and receiving user feedback regarding the sounds to provide audiometric test data.

The embodiment of the invention discloses a tinnitus detection method based on an electroencephalogram level. The tinnitus detection method comprises the following steps: preselecting a preliminary frequency range of a tinnitus patient; extracting a plurality of frequency points in the initial frequency range according to a set frequency interval, and generating a plurality of narrow-band pure tone signals by taking each frequency point as a center; performing tinnitus matching on the patient by using the plurality of narrow-band pure tone signals to obtain initial tinnitus frequency and intensity; according to the hearing loss degree of the patient, a target narrow-band pure tone signal covering the initial tinnitus frequency and notch signals on the two sides of a center frequency point of the target narrow-band pure tone signal are used for conducting a sound giving test on the patient; and determining the final tinnitus frequency according to the electroencephalogram response of the patient under the sound supply test. According to the embodiment, the tinnitus detection accuracy is improved.

The invention relates to the technical field of health data processing, in particular to an intelligent health data processing method and device and a storage medium, and the method comprises the steps: collecting the pure tone hearing threshold of a user under a standard frequency table, constructing a pure tone audiometry map of the user, extracting the hearing threshold features of the user, constructing the hearing sensitive state index of the user, and obtaining the hearing sensitive state index of the user; then determining a basic hearing state of the user; collecting health data of the user in real time; calibrating an otoacoustic emission amplitude and an ABR wave V amplitude of the user; constructing a peripheral-central function coupling index of the user; and constructing an occult hearing loss model based on the peripheral-central function coupling index and the hearing processing disorder index of the user so as to output the occult hearing loss state of the user, and performing hearing health early warning on the user by integrating the occult hearing loss state of the user and the basic hearing state. According to the invention, the efficiency of health data processing is effectively improved.

The invention relates to a hearing threshold prediction system and method based on a sweep frequency SFOAE fine structure, and the system comprises a collection and transmission module which is used for transmitting a stimulation signal and collecting an ear canal signal. The hearing threshold value analysis and prediction mechanism comprises a hearing threshold value detection module used for detecting sweep frequency SFOAE data under each stimulation intensity based on the input stimulation intensity of a set range, constructing an SFOAE signal fine structure, extracting the SFOAE signal fine structure formed by the SFOAE signals of all the stimulation intensities under each stimulation intensity, and outputting the SFOAE signal fine structure; and calling the pre-trained network model to predict the hearing threshold. And the hearing screening module is used for detecting sweep frequency SFOAE data under the selected stimulation intensity based on the adaptively selected stimulation intensity, constructing an SFOAE signal fine structure, extracting the SFOAE signal fine structure formed by all the SFOAE signals under the selected stimulation frequency, and calling a pre-trained network model to carry out hearing screening.

The invention discloses a multi-mode hearing function analysis system for prognosis evaluation of sudden deafness, which relates to the technical field of auditory rehabilitation engineering, and comprises an echo modeling module, a pseudo peak tracking module, a resonance correction module, a beat reconstruction module and a steady-state peak elimination module, and establishing a time-frequency phase-locked observation baseline, calibrating a complete echo path difference between the ear canal and the transducer, and generating echo topology priori. Echo topology reference is constructed, false peak tracking, resonance elimination and beat reconstruction mechanisms are combined, high-frequency false peak interference is accurately recognized and weakened, acoustic response authenticity is improved, auditory assessment precision is improved through a closed-loop regulation strategy, and sudden deafness prognosis judgment and rehabilitation intervention are effectively supported.

A method for performing a hearing assessment procedure includes: performing a computational prediction of a hearing loss at at least one frequency different from one or more given frequencies for which a hearing loss indication is obtained by measurement, selecting a configuration for performing the hearing assessment procedure using at least the predicted hearing loss at the at least one frequency.

The invention relates to the technical field of biostatistics, and discloses a noise language frequency hearing impairment prediction system based on a GEE model and genetic characteristics, and the system comprises a data collection module which collects follow-up visit data of a worker; the data processing module is used for generating a standardized modeling data set; the feature screening module is used for screening features through a statistical learning method to obtain a key feature subset; the time-varying interaction module is used for constructing a generalized estimation equation model and outputting regression coefficient estimation; the risk prediction module outputs the risk probability and the risk layering result of the individual; the decision support module is used for generating hearing protection suggestions of the individuals; according to the method, the generalized estimation equation model is constructed to process follow-up data of occupational noise exposure workers, so that the accuracy and the stability of language frequency hearing loss risk prediction are improved, a basis is provided for formulating a personalized hearing protection scheme and recommending a proper hearing protection device, and the method is suitable for popularization and application. And the transformation of occupational hearing loss from passive treatment to active prevention is facilitated.

Disclosed is a method for characterising tinnitus in a subject using functional near-infrared spectroscopy (fNIRS). The method comprises receiving data comprising fNIRS signals indicative of cortical activity in one or more regions of the subject's brain at a processing device. The received data is processed using the processor device by inputting one or more feature values into a model, where the feature values include one or more features of the received data. The model is configured to provide one or more classification results based on the one or more feature values, the classification results being indicative of at least one characteristic of tinnitus in the subject. Also disclosed is a system for applying the disclosed method.

Systems and methods for the diagnosis and treatment of developmental delay and / or disorders in children for the purpose of early diagnosis and treatment of children to promote the development of at least one of fine motor skills, gross motor skills, sound articulation and sound discrimination skills, receptive language, expressive language, phonological awareness, phonological processing to prevent reading failure, academic underachievement, color blindness, attention issues and social emotional dysregulation. The systems and methods resulting in the generation of a referral of the individual for services in areas where the evaluation results were deficient to promote at least one of fine motor skills, gross motor skills, sound articulation, and sound discrimination skills.

First audio content at a first frequency is output alternately with second audio content at a second frequency different from the first. An audio signal indicating otoacoustic emission is received in response. The first and second audio content may be pure tones, and may be non-overlapping in time separated by gaps less than 100 ms. The second frequency may be 1.15-1.3 times the first. A microphone 330 may receive an input indication distortion product otoacoustic emissions. The audio content may be output by a single loudspeaker 325. The health of the subject’s ear may be determined. Further audio content may be determined and output.

The utility model relates to the field of otoacoustic screening equipment, in particular to an otoacoustic screening instrument probe based on wireless transmission, which comprises an otoacoustic screening instrument probe body, an indicating lamp and an otoacoustic collector, and the bottom of the otoacoustic screening instrument probe body is provided with an accommodating cavity for accommodating a battery; a clamping device is arranged on the inner wall of the containing cavity, an outer clamping seat is arranged on the outer side of the battery, and the outer clamping seat is arranged on the inner wall of the containing cavity through the clamping device; the indicating lamp and the otoacoustic collector are arranged on the two sides of the otoacoustic screening instrument probe body respectively. A positive electrode contact communication point and a negative electrode contact communication point are arranged at the bottom of the otoacoustic screening instrument probe body, the positive electrode contact communication point and the negative electrode contact communication point are both connected with the otoacoustic collector and the indicating lamp, and when the battery is clamped in place, the positive electrode and the negative electrode of the battery are connected with the positive electrode contact communication point and the negative electrode contact communication point respectively.

A method and device for treating tinnitus and / or hearing impairment of a user at bedtime includes providing an audio stimulus to the user using a parametric array speaker. Some embodiments treat tinnitus by removing a frequency notch corresponding to the user's tinnitus frequencies from the audio signal. The audio signal may be ambient sound detected by a microphone, or may be a prerecorded file which may comprise noise or other audio such as audiobooks or music. Some embodiments combine treatment of tinnitus or hearing impairment with treatment for apnea, hypopnea or snoring.

The utility model provides a multifunctional tuning fork device for ear-nose-throat head and neck surgery, and relates to the technical field of medical instruments, the multifunctional tuning fork device mainly comprises a tuning fork, a connecting rod assembly and a hammer, the tuning fork is Y-shaped, the connecting rod assembly is fixedly arranged at the non-bifurcated end, the hammer is arranged at the tail end of the connecting rod assembly, and the connecting rod assembly is connected with the hammer. The connecting rod assembly comprises a connecting rod, a first handle and a second handle which are arranged in sequence, one end of the connecting rod is fixedly connected with the tuning fork, the opposite end of the connecting rod is detachably connected with one end of the first handle, the opposite end of the first handle is detachably connected with one end of the second handle, and a sound hammer is fixedly arranged at the opposite end of the second handle; according to the tuning fork device, when the tuning fork device is not used, the second handle and the first handle are connected together, so that forgetting to carry the tuning fork can be prevented, when the tuning fork device is used, the second handle and the first handle are detached, the tuning fork and the hammer are used in an impact mode, and a doctor can use the tuning fork device conveniently.

The utility model discloses an auxiliary shaping pillow suitable for infant objective hearing test, which comprises a bottom cushion and a shaping cushion, the section shape of the shaping cushion can be limited by an arc, the bottom cushion and the shaping cushion are detachably connected through a zipper, an adjusting part is arranged on the shaping cushion and comprises a plurality of supporting bodies which are hinged with each other, and the supporting bodies are connected with the bottom cushion through a zipper. Every two adjacent supporting bodies can rotate relative to each other. After the infant lies flat, the arc-shaped shaping cushion can be well attached to the head of the infant, so that the limiting effect is achieved, the bending degree of the shaping pillow can be changed by rotating the supporting body, and the shaping pillow is suitable for infants with different head shapes and sizes.

The invention discloses a nerve regulation and control treatment method, system and device and a medium, and the method comprises the steps: designing a nerve regulation and control investigation and inquiry template, evaluating the nerve state of a patient, and generating an evaluation report; carrying out sound treatment technology applicability screening on the patient; selecting a plurality of sections of universal biological natural sound noise, providing the universal biological natural sound noise to the patient passing the applicability screening of the sound treatment technology for audition, and selecting the universal biological natural sound noise with a relatively high adaptability threshold as an initial nerve regulation treatment audio; carrying out hearing test, generating debugging parameters, debugging the initial treatment audio, and generating recommended nerve regulation treatment audio; and performing nerve regulation treatment on the patient based on the recommended nerve regulation treatment audio, and checking the treatment effect. According to the invention, a series of hearing tests are carried out on the patient, the debugged recommended nerve regulation treatment audio is generated for patients with different symptom types, and the nerve regulation treatment effect is effectively improved.

An auditory enhancement method, an auditory enhancement system, a readable storage medium, and a computer device are provided. The auditory enhancement method includes extracting frequency points in initial audio data and fusing each of the frequency points with a test short-time audio having different intensities to obtain test audio data; creating an auditory test environment for a user, playing the test audio data to the user in the auditory test environment, and collecting test results fed back by the user; obtaining identity information of the user, and inputting the identity information and the test results into an auditory test mathematical model to obtain auditory compensation values corresponding to the frequency points in the test audio data; and generating auditory gain values corresponding to the auditory compensation values according to the auditory compensation values, and enabling the user to enhance auditory sensitivity according to the auditory gain values.

The application discloses a kind of multidimensional timbre perception space model modeling method based on electroencephalogram characteristics, which comprises the following steps: collecting a variety of musical instrument single timbre samples and pretreating;To timbre sample, extract acoustic time-frequency domain feature, and extract psychological perception feature by behavior psychology experiment;Multiple musical instrument timbre samples are used as auditory stimulus to carry out electroencephalogram experiment, and corresponding event-related potential ERP signal is extracted as electroencephalogram feature;The dissimilarity of different timbre characteristics is represented by the Euclidean distance of different timbre points;The distance between different timbre points is calculated;According to the Euclidean distance matrix between sample timbre points, a low-dimensional space with mutually orthogonal dimensions is fitted, the dissimilarity of timbre feature vector is transformed into low-dimensional space, the timbre feature vector is directly mapped into low-dimensional space, a point set is formed, and the similarity and dissimilarity of each musical instrument timbre are directly displayed.The application represents the mapping relationship between acoustic characteristics, psychological perception characteristics and electroencephalogram characteristics.

A computerized method for hearing tests includes: displaying a training video to a subject to be tested on a mobile device; conducting a hearing test on a subject using the mobile device to control an audiometer that wirelessly communicates with the mobile device, the audiometer being separate from the mobile device and including a tone generator that electronically communicates with a headset worn by the subject; displaying the results of the hearing test on the mobile device; electronically comparing the results of the hearing test with a baseline test for the subject; displaying a hearing deviation notification on the mobile device if the results of the hearing test differ from the baseline test by a predetermined threshold; and receiving an electronic acknowledgment from the subject via the mobile device that the subject has viewed the training video, the results of the hearing test, and, if applicable, the hearing deviation notification.

The invention relates to a method for creating an audiogram of a test person by means of a hearing instrument (1), in which a sound signal (22) is received by a first electro-acoustic input transducer (10) of the hearing instrument (1) in an ear canal (4) of the test person, which ear canal is at least partially closed by the hearing instrument (1), and a first input signal (24) is generated therefrom, a test sound (32) is generated by an electro-acoustic output transducer (18) of the hearing instrument (1) and is output into an ear canal (4) of the test person, which ear canal is at least partially closed by the hearing instrument (1), and wherein the hearing threshold of the test person at the at least one test frequency is determined on the basis of a reaction of the test person to the test sound (32) and by means of the first input signal (24).

The application discloses a hearing detection method and device, electronic equipment and a storage medium. The hearing detection method comprises the following steps: outputting test audio of a target frequency point at an initial volume; in response to a user operation, adjusting the playing volume of the test audio based on a volume adjustment relationship corresponding to the target frequency point, wherein the volume adjustment relationship is determined based on an equal loudness curve; and in response to a first confirmation instruction, determining the current playing volume of the test audio and taking the current playing volume as the hearing threshold value corresponding to the target frequency point. The method can realize rapid detection of user hearing.

A system (100) includes a listening device (105) with a processor (110), memory (112), speaker driver (120), and microphone (130) for determining hearing loss. The memory includes processor-executed instructions (155) for carrying out steps including transmitting an ultrasound tone to a user of the listening device (105); measuring length of an ear canal of the user after receiving a reflected ultrasound signal; transmitting an audible sound to the user of the listening device; transmitting an ultrasound tone to the user of the listening device (105) and measuring length of an ear canal of the user after receiving a reflected ultrasound signal; comparing the measurement of the length of the ear canal before and after the audible sound transmission; and if there is no change or minimal change in the length, notifying the user of hearing loss or controlling the listening device to limit sound level.

Presented herein are techniques for measuring an evoked response to stimulation. One or more electrical stimulation signals are delivered to first ear of a recipient via a first hearing device implanted at the first ear of the recipient. One or more evoked potential evoked by the one or more electrical stimulation signals are measured with a second hearing device implanted at a second ear of the recipient.

An audiometry test method comprising the following steps:Simultaneous application of a test sound to an ear (210) with a test intensity, and of a masking sound, with a masking intensity, to a contralateral ear (220) to mask the test sound,the process being characterized in that it comprises the following steps:Repeat the following steps:Determining a current Rinne,Determining that the current Rinne is compatible, if there is a current intensity, such that if the masking intensity is equal to the current intensity and the Rinne of the (210) or contralateral (220) ear is equal to the current Rinne, then the test sound is not perceived by the contralateral ear (220) and the masking sound does not prevent the perception of the test sound by the ear (210),Determining masking intensity from maximum compatible current Rinne.