209 results about "Auditory canal" patented technology

A system may include a storage device, configured to store computer-executable instructions. A system may include an ear-bud configured to be positioned within an ear canal of a user, the ear-bud comprising: a speaker, a microphone; and one or more processors in communication with the storage device, wherein the computer-executable instructions, when executed by the one or more processors, cause the one or more processors to: obtain a user hearing profile, obtain an equal-loudness hearing profile, receive audio data from the microphone, and generate a second audio data based on a first sound-pressure level, a second sound-pressure level, a first frequency; and cause the speaker to emit the second audio data within the ear canal of the user, such that the user perceives the audio data as if the user has normal hearing.

The invention belongs to the technical field of hearing testing, and relates to a self-adaptive hearing screening optimization method based on acoustic feature analysis, which comprises the following steps: generating audio data with different signal-to-noise ratios through a constructed audio library, measuring an acoustic transfer function of a user ear canal by using a probe microphone, and generating a personalized acoustic transfer function in combination with a head-related transfer function. Time domain and time frequency features are extracted by means of EEG data, and the auditory reaction ability and the spatial auditory ability of the user are quantified in combination with the spatial positioning features of the binaural simulation microphones; the method comprises the following steps: constructing a multi-modal auditory feature vector, weighting features in combination with a multi-head attention mechanism, predicting the hearing age of a user through a time sequence Transform encoder in combination with the age of the user and a standard threshold value, and evaluating hearing loss according to a prediction result; the individual difference of each user can be accurately adapted, the defect that individual difference and complex environmental noise are neglected in a traditional hearing screening method is overcome, and therefore the accuracy of a screening result is improved.

The invention discloses a digital imaging method of an ear-nose-throat examination endoscope, and relates to the technical field of medical treatment, and the method comprises the following steps: synchronously collecting a white light image, a photoacoustic signal, a stimulated Raman spectrum, pressure sensor data and a physiological signal of a target orifice through a multi-physical field probe; constructing a four-dimensional tensor bound with the anatomical features; based on a vocal cord vibration fundamental frequency harmonic characteristic optimization graph convolutional network, dynamically constructing an adjacent matrix and coupling cross-modal characteristics to generate a submucosal lesion enhanced image; a deformable convolutional network constrained by vocal cord biomechanics is adopted, and the shape of a convolution kernel is dynamically adjusted according to the relation between real-time strain and elastic modulus, so that motion artifacts caused by swallowing actions are inhibited; generating a curvature-driven asymmetric convolution kernel based on ear canal spiral geometry, and executing super-resolution reconstruction in combination with confrontation training of fractal constraint; and fusing the white light image gradient and the pressure gradient field, and outputting a three-dimensional lesion contour consistent with the anatomical structure.

Introduced here are systems and methods to increase accuracy of speech recognition by utilizing multiple sensors placed at multiple speech transmission regions such as a user's lips, throat, ear canal, etc. The various speech transmission regions are better at transmitting certain phonemes, and a sensor placed close to a particular speech transition region can more accurately detect the phoneme transmitted through the particular speech transmission region. For example, a microphone placed close to the lips can better detect labial phonemes such as m, n, p, and b, than a microphone placed close to the throat. Further, disclosed here are ways to reduce energy consumption while performing speech recognition.

The invention provides a compensation method and system for a high-precision space sound scene of an earphone, and is applied to the field of data processing. The preset microphone array is used for capturing the environment sound data in real time, dynamic EQ compensation is carried out according to the environment type, the intelligent earphone is helped to adapt to sound scenes in different environments, the tone quality stability and the environment adaptability are improved, meanwhile, the unique space sound scene of a user is constructed according to the music type and the frequency response, and the user experience is improved. In combination with dynamic EQ compensation, sound effect setting can be adjusted in real time according to the level and type of environmental noise, a user can obtain consistent music experience in different environments, immersion is enhanced, dynamic sound source positioning and sound field reconstruction are carried out based on a head related transmission function, and simulation volume is transmitted into ear canals, so that the user experience is improved. The head movement of the user is tracked in real time, audio rendering is adjusted, the omnibearing surround sound effect can be achieved, and more real and immersive music experience is provided for the user.

The embodiment of the invention discloses an ear canal CT image segmentation method based on improved nn-UNet, and the method comprises the steps: collecting and marking the ear canal CT data of a plurality of patients, and making a data set; preprocessing the data; training on a training set by using a model improved based on nn-UNet, dividing a data set for multiple times by using a five-fold cross validation method, then training and verifying each fold, and storing a training model after training is completed; reasoning and testing the trained model on the test set data which are not seen; post-processing is carried out, and an output result of the model is optimized; and formulating an evaluation scheme to evaluate the prediction result. According to the method, the segmentation efficiency and accuracy can be greatly improved, and subjective deviation and human resource waste possibly generated in the manual segmentation process can be effectively avoided.

The invention provides an otological disease auxiliary diagnosis large model construction method and a large model system, and relates to the technical field of multi-modal learning modeling, and the method comprises the following steps: building four diagnosis sub-models, comprising a hearing loss evaluation model, an auditory meatus and tympanic membrane / middle ear state or lesion evaluation model, an auditory meatus and middle ear structure evaluation model and a medical history and medical record model. The four diagnosis sub-models are trained; the outputs of the four diagnosis sub-models are fused, and a large ear disease clinical diagnosis model is constructed; evaluating and optimizing the performance of the otological disease clinical diagnosis large model; according to the method, multiple sub diagnosis models are fused, multi-source heterogeneous data are used for training, the generalization ability of the model can be improved, the model can adapt to different application scenes, the decision process of the model can be better understood by analyzing the output of each sub diagnosis model, and the credibility of the model is improved.

The invention relates to the technical field of wearable equipment and intelligent audio processing, in particular to an intelligent control method for TWS earphone heart rate detection and earphone function adaptive adjustment, which comprises the following steps: S1, synchronously acquiring an original heart rate signal, a contact pressure signal and a motion acceleration signal; s2, performing real-time baseline correction on the original heart rate signal; s3, the motion acceleration signals are fused to calculate motion interference weight factors, and a multi-modal physiological feature set is generated; s4, outputting a multi-dimensional physiological state vector; s5, matching a predefined adjustment strategy library according to the multi-dimensional physiological state vector; and S6, analyzing the combined control instruction set. According to the TWS earphone, physiological signals are accurately collected through the ear canal composite sensor array, high-precision correction of heart rate detection is achieved in combination with dynamic compensation, feature extraction and physiological state classification, noise reduction, audio equalization and ear canal pressure adjustment parameters are intelligently matched based on an adjustment strategy library, and the TWS earphone can adapt to the physiological state of a user.

The utility model discloses an ear canal sterilizer which comprises a sealing cover, the right side of an inner cavity of the sealing cover is fixedly connected with a fixing seat, the front side of the fixing seat is in threaded connection with a disposable water outlet head, the front side of the disposable water outlet head is fixedly connected with a silica gel hose, the rear side of the sealing cover is provided with a liquid injection assembly, and the liquid injection assembly is fixedly connected with the silica gel hose. The liquid injection assembly comprises a pressing spray head, the bottom end of the pressing spray head is in threaded connection with a liquid medicine bottle, the water outlet end of the liquid medicine bottle communicates with a liquid feeding pipe, and the rear side of the sealing cover is fixedly connected with a butt joint sleeve. Through the arrangement of the liquid injection assembly, disinfection liquid medicine is injected into the inner cavity of the disposable water outlet head, the liquid medicine is injected into the ear canal of a user under the matched use of the silica gel hose, and meanwhile, waste liquid seeping from the ear canal is collected in a centralized manner under the matched use of the sealing cover and the recovery assembly; therefore, the purposes of simple and convenient operation, clean use process and liquid leakage prevention can be achieved.

Utilizing in-canal microphones and other microphones in wearable devices is described. One embodiment is an ear-worn device that includes an in-canal microphone configured to capture sounds in an ear canal and an array of microphones configured to capture external sounds. The ear-worn device may utilize the in-canal microphone to determine if the user is actively speaking. Upon such a determination, the ear-worn device may turn on the array of microphones to capture the user's voice and perform beamforming to focus the array of microphones on the user's mouth. Such speech can then be processed and provided to an artificial intelligence agent. The ear-worn device may switch between using the in-canal microphone and the array of microphones to capture the user's voice depending on environmental noise, the context of the user, and the voice content. The ear-worn device may also blend captures from the in-canal microphone and the array of microphones.

The invention discloses a multi-sleep behavior activity identification method and system in the technical field of acoustic sensing, and aims to solve the optimization problem of the existing multi-sleep behavior activity identification technology. The method comprises the following steps: preprocessing a collected dual-track acoustic signal in an ear canal of a user to obtain a processed dual-track acoustic signal; according to the processed dual-track acoustic signal, sleep behavior event detection and segmentation are carried out based on an adaptive detection and segmentation algorithm of a dynamic threshold, and a sleep event set is obtained; according to the sleep event set, sleep behavior events are classified based on accumulated spectrum power, and a sleep body activity event set and a sleep acoustic activity event set are obtained; according to the sleep body activity event set, based on acoustic attenuation and accumulated spectrum power, performing fine-grained identification of body activity events; and performing multi-dimensional feature extraction according to the sleep acoustic activity event set, and performing fine-grained identification of the acoustic activity events by using the extracted multi-dimensional features.

1. Name of the Design Product: Otoscope. 2. Use of the Design Product: For examining the ear canal. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: 3D View 1.

The invention discloses a multi-unit sound production device, which comprises a plurality of sound production units and a passive sound production module, wherein at least one sound production unit is connected with a resonant cavity through a sound guide tube, and the resonant cavity is further connected to the passive sound production module to form an acoustic excitation path in which the low-frequency-band sound production unit drives the extremely-high-frequency-band passive sound production module; the plurality of sound production units and the passive sound production module are respectively connected to an auditory meatus outlet through respective sound guide tubes; the resonant cavity is arranged to be of a micro-cavity structure so as to be matched with the acoustic impedance of the passive sound production module in a specific extremely high frequency band response range. According to the invention, a cross-band acoustic feedback coupling mechanism is established by introducing a sound guide channel and a resonant cavity structure between the sound production unit and the passive unit, and dynamic regulation and control and frequency response optimization of frequency band sound energy are realized on the premise of not influencing normal output of an original active loudspeaker.

A system may include an external device configured to transmit a first audio data to an ear-bud. A system may include the ear-bud configured to be positioned within an ear canal of a user, the ear-bud comprising: a microphone configured to generate audio data responsive to detecting audio, a storage device, configured to store computer-executable instructions; and one or more processors in communication with the storage device, wherein the computer-executable instructions, when executed by the one or more processors, cause the one or more processors to: receive the first audio data from the external device, receive a second audio data from the microphone, estimate an acoustic environment based on the first audio data and the second audio data, generate a third audio data based on the acoustic environment, and cause a speaker to emit the third audio data.

The invention relates to an otoacoustic emission signal detection system and method, and the system comprises a collection and transmission module which is used for transmitting a stimulation signal and collecting an auditory meatus signal. And the fine structure detection mechanism comprises a DPOAEs fine structure detection module and an SFOAEs fine structure detection module which are respectively used for extracting fine structure information of otoacoustic emission from the auditory meatus signal. The I / O function detection mechanism comprises a DPOAEs I / O function detection module and an SFOAEs I / O function detection module which are respectively used for extracting I / O function information of otoacoustic emission from auditory meatus signals, so that the comprehensive research type otoacoustic emission instrument with a test parameter customizable SFOAEs and DPOAEs multi-test parameter rapid detection function is realized. Comprising a frequency dimension fine structure detection function and an intensity dimension I / O function detection function, and can be suitable for different demand scenes related to otoacoustic emission research and application.

The invention discloses an ear electroencephalogram acquisition sleep monitoring device based on conductive leather and a personalized audio intervention method of the ear electroencephalogram acquisition sleep monitoring device, and aims to solve the problems that existing sleep assisting equipment is poor in wearing comfort and inaccurate in monitoring, and an intervention scheme is lack of personalization. The device comprises preparation of a conductive leather electrode and integration of the conductive leather electrode, an earplug, a loudspeaker and other devices. According to the conductive leather electrode, a conductive polymer (such as poly (3, 4-ethylenedioxythiophene) and a derivative thereof) is combined with natural leather through an in-situ polymerization method to form a flexible electrode material with high biocompatibility. The electrode is combined with an earplug, a loudspeaker and other devices and can be stably attached to the ear canal, and high-signal-to-noise-ratio sleep physiological electric signal (such as myoelectricity, electroencephalogram or electrocardiosignals) collection is achieved. The sleep stage is identified through machine learning, and the loudspeaker module is controlled to play different types of sleep-aiding audios. The core lies in that the device can synchronously evaluate sleep physiological signal changes of a user under different audio stimulation, so that personalized sleep-aiding audios which are most effective for the individual are screened out, and an exclusive scheme library is established. The system has the advantages of being comfortable to wear, high in signal quality, wide in applicability and the like, and can be widely applied to the fields of health monitoring, human-computer interaction, medical diagnosis and the like.

The invention relates to the technical field of self-adaptive spatial audio rendering methods, in particular to a self-adaptive spatial audio rendering method based on head tracking, which comprises the following steps of: S1, acquiring the head orientation of a user based on head tracking equipment, and calculating a current binaural transfer function of the user; s2, based on a deep neural network, training a binaural transfer function for each user according to the user feature information, and generating a personalized binaural transfer function and an audio rendering parameter; s3, inputting spatial audio data, and rendering the spatial audio data into left and right sound channel audio signals; s4, performing audio time delay correction on the rendered left and right sound channel audio signals, and outputting the rendered sound effect; s5, the audio signals are input into the TWS earphone through the ear canal model, spatial audio rendering is completed, and by means of the deep learning model and the optimized signal processing algorithm, high-quality audio output is successfully guaranteed, and meanwhile the millisecond-level response speed is achieved.

An apparatus, including an array of electrodes and an implantable therapeutic substance reservoir, wherein the apparatus is an implantable portion of a cochlear implant, the apparatus is configured so that the therapeutic substance reservoir extends from a location behind an ear canal of a human between a mastoid bone and skin of the human to the cochlea when the apparatus is fully implanted in a recipient, and the reservoir is completely integrated into the implantable portion of the cochlear implant.

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 system and method for heart rhythm detection and reporting are disclosed. This cardiology system includes a biosensor system and a data analysis system. The biosensor system is worn by an individual and includes sensors that detect biosignals including infrasonic signals from the individual. The data analysis system receives the biosignals from the biosensor system, and determines heart rhythms of the individual based upon the biosignals. The system identifies at least some of biosignals as being associated with cardiovascular activity, such as pulse wave signals. Preferably, the biosensor system is an in-ear biosensor system that detects the biosignals via left and right earbuds placed within or at ear canals of the individual. The system can also identify arrhythmias including atrial fibrillation (Afib) arrhythmias from the heart rhythms, report information to health care and safety professionals and update medical records of the individuals.

The utility model relates to the technical field of medical equipment, and discloses an ear cleaning device for pediatrics, which is characterized in that the outer part of a shell is connected with a sliding assembly for sliding in a sliding manner, the bottom of the sliding assembly is rotatably connected with a rotating column, and the bottom of the rotating column is fixedly connected with a clamping device; an illumination assembly for illumination is arranged in the clamping device, a fixing block is fixedly connected to the exterior of the clamping device, a deviation block is fixedly connected to the interior of the shell, the clamping device is ejected out through a sliding assembly, and the deviation block can incline due to the arc-shaped design of the deviation block. According to the utility model, the clamping device can be arranged to shift under the action of the shift block, and the arc-shaped design of the shift block enables the clamping device to automatically adjust the contact angle according to the unique shape of the auditory meatus of a child, so that the discomfort caused by improper angle is reduced, and the safety of the auditory meatus of the child is effectively protected; and meanwhile, through matching of the sliding blocks and the sliding grooves, effective storage can be achieved.

An active noise reduction (ANR) device includes an acoustic transducer, a first sensor, and a second sensor. The acoustic transducer is configured to generate output audio. The first sensor is configured to capture audio originating from an external environment of the ANR device. The second sensor is configured to generate a signal indicative of (1) the audio originating from the external environment and (2) the output audio generated by the acoustic transducer. The output audio generated by the acoustic transducer is modified based on a portion of the signal generated by the second sensor, the portion being attributable to a resonant mode of a user's ear canal.

The utility model provides an ear pus removing device, which belongs to the technical field of pus removing devices and comprises a sleeve, three groups of clamping plates are arranged at one end of the sleeve, knobs are respectively connected with one sides of the three groups of clamping plates through threads, suction pipes are arranged in the three groups of clamping plates, one end of a first water pipe is arranged at the other end of the sleeve, and a negative pressure component is arranged at the other end of the first water pipe. A first sliding groove is formed in the sleeve, a sliding rod is arranged in the first sliding groove, a spring is arranged between the sliding rod and the first sliding groove, a piston is arranged on one side of the sliding rod, a supporting seat is arranged on one side of the sleeve, and a storage assembly is arranged on the supporting seat; through the arrangement of the sliding rod and the piston, the suction force of the pus removing device can be controlled, the situation that the ear canal of a patient is broken due to suction, unnecessary pain and discomfort are caused, and the follow-up treatment difficulty is increased is avoided, through the arrangement of the storage assembly, cotton swabs are placed in the storage assembly, the operation steps of an operation can be reduced, the treatment time is shortened, and the treatment efficiency is improved. And the operation burden of medical staff is also reduced.

A voice intelligibility enhancement system is disclosed comprising at least one in-ear headphone device arranged with an ear canal facing portion and an environment facing portion. The device includes an acoustic path including a vent, the acoustic path coupling an environment-facing portion with an ear canal-facing portion, and an electro-acoustic path including a microphone at the environment-facing portion, a filter, and a speaker at the ear canal-facing portion. The acoustic path is arranged to transmit acoustic sound in a vowel-dominant frequency range, and the electro-acoustic path is arranged to acoustically reproduce a sound signal in a consonant-dominant frequency range and in the vowel-dominant frequency range, and the electro-acoustic path is arranged such that contributions from the acoustic path within the vowel dominant frequency range are compensated by the electro-acoustic path to improve the signal masking ratio. A method for enhancing speech intelligibility is also disclosed.

The utility model relates to the field of medical instruments, in particular to an ear canal foreign matter extraction tool for the otolaryngology department, which can be shaped, and adopts a suction structure for selective suction. Comprising a vertical moldable pipe body, the lower portion of the pipe body is open, the top of the pipe body is in an arc shape, a first through hole is embedded in the top face of the pipe body, second through holes are embedded in the left side and the right side of the first through hole, and plugs are detachably arranged on the first through hole and the second through holes respectively. The bottom of the tube body is fixedly inserted into a sleeve with an upper opening, the side face of the sleeve is communicated with a connecting tube, and the tail end of the connecting tube is connected with a spherical air bag. An auxiliary cleaning piece is further fixedly arranged on the bottom face of the sleeve. The device is easy to operate, convenient to use and suitable for various patients.

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 invention relates to the technical field of medical instruments, in particular to a multipurpose otoscope. The otoscope comprises a handheld part, an otoscope main body, a rotating disc and a plurality of ear speculum bodies, the otoscope main body is connected with the handheld part, a magnifying lens is arranged at the rear end of the otoscope main body, and a light source is arranged in the otoscope main body; the rotating disc is rotatably connected with the handheld part, the rotating disc is provided with a plurality of mounting positions, the plurality of mounting positions are arranged around the axis of the rotating disc at intervals, and each ear speculum is correspondingly mounted in one mounting position; each ear speculum has a contraction state and an extension state; wherein the rotating disc is used for rotating relative to the handheld part, so that one ear speculum directly faces the otoscope main body. According to the multipurpose otoscope, a plurality of ear speculum devices are arranged on the rotating disc, so that the ear speculum devices can be quickly replaced and adjusted, the auditory meatus examination efficiency can be guaranteed, and the situation that the structure is damaged due to repeated plate insertion, consequently, the structure is loosened or an optical axis deviates, and the imaging quality is affected can be avoided.

A method for early diagnosis of autism spectrum disorder (ASD) including determining an ASD risk index, determining an ASD brain index that includes administering at least one auditory brainstem response (ABR) test to an ear canal of a patient, producing a plurality of biomarkers and identifying at least one biomarker of the plurality of biomarkers as a potential ASD biomarker, and determining an ASD likelihood responsive to each of the ASD risk index and ASD brain index.

The invention relates to the technical field of noise deafness susceptibility grading, in particular to a noise deafness susceptibility grading method and system based on a multi-band hearing threshold, and the method comprises the steps: presetting measurement frequency points, generating a measurement frequency point set according to a sequence from high frequency to low frequency, and completing M times of independent measurement for each frequency point; recording a tested subjective response timestamp, and generating a confidence value label; an otoacoustic emission signal in a tested ear canal is collected in real time, a time domain signal with the highest confidence coefficient of a single frequency point is extracted, spectrum features are calculated, and otoacoustic emission joint parameters are constructed. According to the method, the time sequence diffusion rule from high frequency to low and medium frequency hair cell damage can be comprehensively captured, the identification accuracy of potential auditory impairment is remarkably improved, the propagation mechanism from high frequency damage to intermediate frequency can be simulated by constructing the physically constrained spectrum migration operator, and otoacoustic emission time domain-frequency domain joint parameters and physiological indexes are combined, so that the identification accuracy of the potential auditory impairment is improved. And individualized and dynamic injury risk prediction is realized.