75 results about "Audiogram" patented technology

A method for fitting a hearing instrument comprises placing the hearing instrument in situ includes receiving an audiogram of the user, determining a target gain for the hearing instrument as a function of the audiogram, exposing a reference sensor located adjacent the hearing instrument to an external speech signal, measuring an external sound pressure level (SPL) via the reference sensor, exposing a probe sensor coupled to the inside of the ear to the output of the hearing instrument while the hearing instrument is in situ, measuring an internal sound pressure level (“SPL”) inside the ear of the user via the probe sensor, determining an offset gain as a function of the external SPL, the target gain and the internal SPL, and automatically adjusting a gain of the hearing instrument according to the offset gain. A system for automatically fitting a hearing impaired person with a digital hearing aid in situ includes a digital hearing aid, a reference volume sensor, a probe sensor, a sound mapping module and a parameter control module.

A method and device for automatically assessing loss of hearing sensitivity and compression (recruitment) with user defined frequency resolution by means of extrapolated DPOAE I/O functions and ABRs as well as for automatically fitting hearing aids without any cooperation of the subject tested using a device having a display screen attached to a handheld device generating and collecting otoacoustic emission signals and brain stem response signals into a programmed with a clinical audiogram with fitting parameters for hearing aids calculated on the basis of assessed hearing threshold and compression and identifying the type of hearing required for the individual.

A method and device for automatically assessing loss of hearing sensitivity and compression (recruitment) with user defined frequency resolution by means of extrapolated DPOAE I/O functions and ABRs as well as for automatically fitting hearing aids without any cooperation of the subject tested using a device having a display screen attached to a handheld device generating and collecting otoacoustic emission signals and brain stem response signals into a programmed with a clinical audiogram with fitting parameters for hearing aids calculated on the basis of assessed hearing threshold and compression and identifying the type of hearing required for the individual.

A method for fitting a hearing aid (1) comprises the steps of recording the audiogram of the hearing aid user (6), selecting a fitting setting, using the hearing aid (1) for a period of time, and logging data representing information on the sound environment in which the hearing aid is being used. The method comprises the steps of providing a computer based questionnaire on a first computer (2), said questionnaire comprising questions directed to the hearing aid users subjective experience with using the hearing aid, correlating questionnaire data with logged data, and selecting and, implementing a new hearing aid setting into the hearing aid. The invention further provides a method for optimizing the function of a hearing aid, and a computer program product.

A system and method for using a telephone to reconfigure or readjust the performance characteristics of a hearing aid or to check whether a user has a hearing problem. The telephone is used to generate one or more frequency tests covering the audible spectrum using a DSP contained in the phone, an external computer and/or a hearing aid. The keypad of the phone or keyboard of an attached computer is used as a feedback mechanism. The generated frequencies can be used to test the hearing of a user and the quality (or fit) of a hearing aid while being worn by the user. A local memory may be used to store the results of the tests for future reference or for transmission over the network for analysis at a later time. Once the hearing response of a user wearing the hearing aid has been measured, an updated compensation configuration (audiogram) can be downloaded into the hearing aid via an infra-red link, via a physical connection or a direct audio transmission from the telephone to the DSP in the hearing aid.

A system and method for data acquisition and processing is described which can audio data form the basis of new and improved business and consumer services. Audio datagrams such as short duration audio-recordings made from radio or television broadcasts or from a CD player or an MP3 player or the like are captured using a microphone associated with a multimedia computer or mobile phone or PDA or fixed line device and processed to create a digital audiogram dataset which may be subsequently transmitted to a data processing server which comprises a music and or audio archive. A server receives and processes the digital audiogram dataset to enhance the captured audio data and convert it into a suitable format which matches the format of the audio data stored in the server archive. A search engine processes the received digital audiogram and attempts to match the captured audio data with data stored in the archive. When a successful match is made between the audio datagram such as with a genuine piece of music by a recognised artist, a message is sent back to the device which initiated the audio capture and transmission process, or to an email address registered to the device, indicating the name of the artist and the name of the song and details where the music or recorded broadcast can be obtained. The audio datagram capture-and-search process may form part of a service profile for a mobile subscriber and it may be directly linked with a mobile payment transaction service so that the subscriber may order and buy a copy of the music or broadcast directly.

Provided is a method of automatically fitting a hearing aid. The method includes the steps of entering an audiogram of a test subject, defining criterion gains and SSPLs according to the test subject's audiogram in each test frequency band, generating 70dB SPL long term speech spectrum noise, and measuring the gains and SSPLs of the amplified sound in front of test subject's eardrum using the probe tube microphone, comparing the measured gains and SSPLs with the criterion gains and SSPLs and if the measured gains and SSPLs are less than the criterion gains and SSPLs, increasing the gain and SSPL of the hearing aid and repeating measurement, and if the measured gains and SSPLs becomes equal to the criterion gains and SSPLs, setting the gains and SSPLs of the hearing aid at that time as an actual gain and/or SSPL of the hearing aid and saving the automatic fitting device.

The invention discloses a wide dynamic compression method of a digital hearing aid based on sound pressure level segmentation, wherein the wide dynamic compression method comprises the following steps: framing a voice signal, and filtering the framed signal through a 16-channelnonuniform spaced 6-order IIR decomposition filter bank; then, calculating the sound pressure levels of the voice signals of the channels, and obtaining a hearing compensation curve of a patient in combination with an audiogram of the patient; carrying out channel-separated hearing compensation on the patient according to the hearing compensation curve, integrating compensated multichannel signals to obtain a compensated useful signal, and providing the useful signal for the patient. The wide dynamic compression method disclosed by the invention has the beneficial effects that, the sound pressure level is thinned in 8 segments to obtain more accurate input/output curves; and the 6-order IIR decomposition synthesis filter bank conforming to human hearing characteristics can be used for obtaining a compensation gain value better conforming to the actual demand of the patient.

The invention discloses a BP-artificial-neural-network-based intelligent matching algorithm for a digital hearing aid. On the basis of a BP artificial neural network, a network is trained by using lots of training data to obtain a satisfactory mature network; and the network is corrected by using a self-built formula model, thereby obtaining a mature intelligent matching algorithm. On the basis of the genetic algorithm principle, an initial weight value and a threshold of a BP artificial neural network are optimized; the BP neural network is trained by using an existing audiogram and a spectrum gain response as raining data; and the network is corrected based on a matching formula model to obtain a mature BP artificial neural network to replace the existing matching prescription formula, so that parameters like all channel gains, the maximum sound output, the compression rate, and the compression inflection point of the digital hearing aid can be obtained.

Disclosed is an equalization apparatus and method based on audiogram. The equalization method includes the steps of a) outputting a reference sound having reference frequency and intensity for approximate assumption of auditory threshold, b) determining a start sound corresponding to an assumed value of the auditory threshold while calling a sound having intensity different from a prior sound at a sound source memory depending on whether a user has received an answering signal in response to the reference sound, c) outputting a first test sound whose intensity is controlled at a value set prior to the start sound, having the reference frequency, d) calling a test sound having intensity and frequency different from the prior sound at the sound source memory depending on whether the user has received the answering signal, e) storing data on reception of the answering signal of the user in response to the test sound, f) repeating the steps d) to e), g) determining the auditory threshold per previously set fiequency band using the reception data of the answering signal, and h) performing equalization depending on the auditory threshold per the determined frequency.

An audiogram classification system is provided. The classification system includes categories for configuration, severity, site of lesion and/or symmetry of an audiogram. A set of rules can be provided for selecting the categories, wherein the set of rules ignore one or more local irregularities on an audiogram and have been validated to maximize agreement with judges.

A hearing device including a signal processing device for processing an input signal and generating an output signal and a modeling device in which a perceptive model is implemented, in order to generate a psycho-acoustic value for controlling the signal processing device, is provided. Data mapping of the hearing loss, in particular audiogram data, are input into the modeling device and the perceptive model determines the psycho-acoustic value for controlling the signal processing device based on the data from the data mapping and the output signal.

A system includes a first device for neural stimulation of a patient's ipsilateral ear and a second hearing stimulation device, wherein the stimulation mode of the second stimulation device is different from that of the first stimulation device. The system further includes a fitting device for adjusting the first stimulation device and the second stimulation device. The fitting device includes a graphical user interface configured to present an acoustic level audiogram representation of aided acoustic and electric behavioral values for the first and second stimulation devices.

The invention relates to a hearing evaluation detection system, and the system a hearing test module, a sound field detecting module, a speech evaluation module and an upper computer. The hearing testmodule uses single-frequency sinusoidal sound for sound generation, and determines the minimum sound at various frequencies that can be heard by an ear, so as to understand the hearing loss at each frequency, and draw an audiogram, and judge the degree and nature of the deafness according to the audiogram. The speech evaluation module is used for performing the speech test of a vocabulary to understand the hearing state of a patient, and performs the discrimination and diagnosis of the hearing loss status and characteristics. The sound field detecting module is configured to determine a soundfield hearing threshold level of a bare ear and a hearing threshold level after a functional gain. The upper computer is used for controlling the hearing test module, the speech evaluation module andthe sound field detecting module, and performs the integration and preservation of the detection data result, in order to obtain a hearing evaluation test result. The economic investment of the system is low, and the accuracy of the hearing damage evaluation test result is improved, the beneficiary personnel are expanded, and the society is benefited.

The method makes it possible to extend functional possibilities, and to increase sound quality and the intelligibility of speech in mobile telephone apparatuses and communication systems for hearing-impaired subscribers. The mentioned technical result is achieved in that, in the method, personalized audio signals (A) for hearing-impaired users are generated on the basis of attributes thereof received from audiograms - frequency characteristics of the hearing of the hearing-impaired user stored in a database on the server of the communications network and linked to the telephone numbers of hearing-impaired users. A is processed on the server in a broadband frequency range on the basis of attributes of the hearing of the hearing-impaired user, the power of the processed audio signals is adjusted according to the attributes of the hearing-impaired user, and the adjusted personalized audio signals are transmitted from the communication server to the telephone apparatuses of the hearing-impaired users. The communications network used is a cellular network, and the telephone apparatus used is a mobile telephone apparatus (MTA). A mode which combines the function of a mobile telephone and of a hearing device is implemented.

There is provided a method for determining a noise exposure level associated as the cause of an observed evolution of hearing acuity of an individual of known gender. The method comprises the following steps: 1) providing a first audiogram of the individual measured at age X and a second audiogram of the individual measured at age Y; 2) inputting the individual's gender, age X, and a time period equal to Y−X in a statistical hearing threshold levels evolution prediction formula; 3) calculating projected hearing loss audiograms specific to each of a plurality of possible noise level exposure values, using the prediction formula; 4) comparing a pattern of each calculated projected audiogram with a pattern the second audiogram; 5) selecting the projected audiogram that best fits the second audiogram; and 6) assuming that the noise exposure level value associated with the selected projected audiogram is the noise exposure value that caused the evolution of hearing acuity observed between the first and the second audiograms. There is also provided systems for performing the method and methods for providing services to clients or enabling users regarding determination of real ear noise exposure values.

The provision of an individually adapted hearing aid for a patient is intended to be effected more quickly. A method is therefore provided by which, firstly, hearing loss data, in particular an audiogram, are generated by a person skilled in the art for example an ENT specialist, and the hearing loss data are transmitted to a manufacturer. Using a perceptive model based on the hearing loss data, the manufacturer selects a hearing aid and matches the hearing aid to the patient by means of the perceptive model. Finally, the manufacturer delivers the adapted hearing aid directly or indirectly to the patient. Due to the simplified workflow during the adaptation, the waiting times for the provision of the hearing aid are reduced for the patient.

The invention belongs to the technical field of medical treatment and particularly relates to a method for generating hearing loss treatment sounds and a hearing loss treatment system. The method forgenerating the hearing loss treatment sounds and the hearing loss treatment system aim at achieving the technical purpose of achieving a good treatment effect on patients suffering from tinnitus. According to the adopted technical scheme, the method for generating the hearing loss treatment sounds includes the steps that S101, a tinnitus occurrence frequency region of a patient is collected; S102,a pure tone threshold audiogram of the patient is obtained; S103, the tinnitus occurrence frequency region and the pure tone threshold audiogram are compared and tested, and then central frequenciesof the treatment sounds are obtained; S104, on the basis of the central frequencies of the treatment sounds, multiple frequency point sounds are selected upwards and downwards to form stimulation sounds including the central frequencies; S105, the frequency point sounds including the stimulation sounds are modulated to synthesize the treatment sounds. The method for generating the hearing loss treatment sounds and the hearing loss treatment system are applicable to the field of hearing loss treatment.

A method of method of acoustic screening for processing hearing loss patients utilizes a computing device connected to an audio output device to administer a hearing loss exam to a patient, display an audiogram of their hearing loss to the patient, and attempt to gently guide the patient into undergoing treatment for hearing loss. A correction algorithm is produced from the audiometric data in order to present the patient with comparison scenarios from typical day-to-day sounds with and without being modified by the correction algorithm.

The invention discloses an interactive self-fitting method for an intelligent hearing aid, and the method comprises the following steps: 1, a hearing impaired patient listening to test voice emitted by the hearing aid for five-stage evaluation, and forming a hearing aid sound quality evaluation index; 2, forming a feature sequence according to the 11-dimensional audiogram, the 3-dimensional personalized information and the voice evaluation of the patient, and then calculating the similarity between the feature sequence and the feature sequence in the fitting historical database; 3, designing a value function of parameter adjustment, and calculating the value of a parameter adjustment strategy, so that the value of each parameter adjustment is maximized; 4, constructing a neural network, and obtaining the weight of the neural network; and 5, inputting the test voice frequency spectrum, the voice evaluation, the patient personality information and three continuous groups of historical parameter adjustment strategies into the neural network, and regenerating the test voice to the hearing impaired patient for evaluation. The subjective and objective voice evaluation method is comprehensively considered, the deep learning network is combined, cognition and personal factors are integrated into the hearing aid design, and the application prospect is good.

A system is disclosed for configuring a hearing device. The system comprises an audiogram processing component arranged to process image data indicative of an image of an audiogram associated with a person so as to produce audiogram data indicative of the audiogram, and a hearing device configuration component arranged to produce hearing device configuration data based on the audiogram data. The configuration data is indicative of configuration settings for a hearing device that will cause the hearing device to assist the hearing of the person.