166 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 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.

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.

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.

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.

The invention relates to an ear sound production instrument, a detection method, a medium and computer equipment, and the instrument comprises an ear canal detection probe which is suitable for being inserted into an ear canal of a tested object and forms sealing fit with the wall of the ear canal, and the ear canal detection probe comprises an acoustic output unit which transmits an audio signal to the ear canal, the acoustic input unit is used for receiving a reflected wave of the audio signal in an ear canal; the sound insulation cover is arranged outside the auditory meatus detection probe in a sleeving mode and covers the auditory meatus detection probe and an auditory meatus opening so as to weaken noise and improve the signal-to-noise ratio of reflected waves, otoacoustic emission detection can be carried out without depending on a special sound insulation room environment, and the accuracy and clinical applicability of a detection result are guaranteed.

The utility model discloses an ear canal medicine dropping device, and belongs to the technical field of medical instruments. The utility model solves the problem of limited medication effect caused by the fact that liquid medicine is easy to flow out quickly after the auditory meatus of a patient without self-control force or with poor self-control force is dropped as far as possible in the prior art. The medicine feeding earplug comprises an earplug body, the earplug body comprises a hard tube and a waterproof soft sleeve sleeved on the hard tube, the hard tube and the waterproof soft sleeve are provided with a medicine outlet communicated with the hard tube, a medicine feeding rod is slidably connected in the hard tube, a medicine storage cavity is arranged in the medicine feeding rod, one end of the medicine feeding rod is provided with a medicine inlet communicated with the medicine storage cavity, and the other end of the medicine feeding rod is provided with a medicine outlet communicated with the medicine storage cavity. The other end of the medicine feeding rod is provided with a medicine discharging opening communicated with the medicine storage cavity, and the medicine feeding rod can rotate in the hard pipe to the medicine discharging opening to be communicated with the medicine outlet. According to the ear plug, the ear canal is blocked by the ear plug body, so that the medication effect of dripping medicine in the ear canal of a patient without self-control force or with poor self-control force is improved.

An in-ear device (IED) of a wearable system captures audio data from within the ear canal of a user indicative of the user's heartbeat. The IED when worn occludes the user's ear canal, causing amplification of low frequency sounds due to the occlusion effect, and improving the ability of the acoustic sensor to detect the user's heartbeat sounds. The wearable system classifies the audio data to identify portions of the audio data corresponding to a first heart sound and a second heart sound, which correspond to different portions of the heartbeat of the user. The wearable system estimates a blood pressure level of the user based upon the identified heart sounds.

An ear-wearable device includes receiver that outputs sound into an ear canal of a user in response to an electrical input signal. The device includes one or more electrical components separate from and electrically coupled to the receiver. A processor is configured to perform a measurement process involving sending an audio input signal to the receiver and measuring a set of frequency dependent electrical characteristics of the one or more electrical components in response to the audio input signal. The set of frequency dependent electrical characteristics are input into a machine learning model to determine an output. A classification of the receiver is determined based on the output of the machine learning model. The classification of the receiver is used to set an operational parameter of the ear-wearable device.

The invention relates to the technical field of biosensing, and provides an ear canal built-in sensing system and method. The system comprises a sensing probe which can be placed in an ear canal of a target animal and is used for collecting an electroencephalogram signal and a temperature signal of the target animal; the fixing and energy supply unit is connected with one end, far away from the deep part of the auditory meatus, of the sensing probe, is fixed on the ear of the target animal and is integrated with a thermoelectric power generation unit for converting temperature difference energy between the ear of the target animal and the environment into electric energy; the communication unit is used for transmitting monitoring data; the processing unit is used for receiving and processing the electroencephalogram signal and the temperature signal, and performing anomaly analysis based on a preset discrimination condition to obtain an analysis result; and processing based on the analysis result. According to the auditory meatus built-in sensing system and method provided by the invention, through cooperation of the auditory meatus built-in sensing probe, the thermoelectric power generation unit and the abnormal state triggering type communication, stable and low-power-consumption real-time monitoring and early warning of the physiological state of the target animal are realized.

The application discloses an intelligent electronic otoscope control system and method based on electrical impedance detection, which contains an ear canal impedance signal collection unit, a weak signal conditioning unit, a multi-modal data processing unit, an intelligent analysis and decision unit, a man-machine interaction presentation unit and a closed-loop automatic control unit. A low-power multi-frequency impedance sensor array collects ear canal tissue impedance data at different frequencies, which is processed by the weak signal conditioning unit. The multi-modal data processing unit, combined with an edge computing gateway, completes analog-to-digital conversion and preliminary fusion. The intelligent analysis and decision unit uses an optimized impedance detection algorithm and a multi-dimensional heterogeneous data analysis model to deeply analyze the data, judges the ear health condition, and visualizes the results through the man-machine interaction presentation unit. The closed-loop automatic control unit realizes automatic adjustment of the detection process. The system and method can accurately detect ear health and improve the efficiency and accuracy of ear disease diagnosis.