EP3288293A1 - Verfahren und einrichtung zur einstellung eines hörhilfegeräts - Google Patents

Verfahren und einrichtung zur einstellung eines hörhilfegeräts Download PDF

Info

Publication number
EP3288293A1
EP3288293A1 EP17187121.3A EP17187121A EP3288293A1 EP 3288293 A1 EP3288293 A1 EP 3288293A1 EP 17187121 A EP17187121 A EP 17187121A EP 3288293 A1 EP3288293 A1 EP 3288293A1
Authority
EP
European Patent Office
Prior art keywords
hearing aid
user
parameters
aid device
hearing
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP17187121.3A
Other languages
German (de)
English (en)
French (fr)
Inventor
Stefan Aschoff
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sivantos Pte Ltd
Original Assignee
Sivantos Pte Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sivantos Pte Ltd filed Critical Sivantos Pte Ltd
Publication of EP3288293A1 publication Critical patent/EP3288293A1/de
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
    • H04R25/50—Customised settings for obtaining desired overall acoustical characteristics
    • H04R25/505—Customised settings for obtaining desired overall acoustical characteristics using digital signal processing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
    • H04R25/30—Monitoring or testing of hearing aids, e.g. functioning, settings, battery power
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
    • H04R25/55—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception using an external connection, either wireless or wired
    • H04R25/558—Remote control, e.g. of amplification, frequency
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
    • H04R25/70—Adaptation of deaf aid to hearing loss, e.g. initial electronic fitting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
    • H04R2225/39—Aspects relating to automatic logging of sound environment parameters and the performance of the hearing aid during use, e.g. histogram logging, or of user selected programs or settings in the hearing aid, e.g. usage logging
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
    • H04R2225/41—Detection or adaptation of hearing aid parameters or programs to listening situation, e.g. pub, forest
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
    • H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
    • H04R2225/55—Communication between hearing aids and external devices via a network for data exchange

Definitions

  • the invention relates to a method for adjusting a hearing aid, i. for user-specific adjustment of parameters of a hearing aid, so that a hearing for the user of the hearing aid optimized hearing is achieved.
  • the invention further relates to a device for carrying out the method.
  • hearing aid device As a “hearing aid device” is generally referred to a portable hearing device, which serves to improve the perception of the sound of a user's ear-borne ambient sound.
  • hearing aids Classically referred to as “hearing aids” subclass of hearing aids is designed to care for the hearing impaired who suffer from hearing loss in the medical sense.
  • different types of hearing aids such as behind-the-ear hearing aids (BTE), hearing aids with external listeners (RIC, Receiver in the Canal), in-the-ear hearing aids (IdO), or also Concha hearing aids or canal hearing aids (ITE, CIC) offered.
  • BTE behind-the-ear hearing aids
  • RIC hearing aids with external listeners
  • IdO in-the-ear hearing aids
  • ITE Concha hearing aids or canal hearing aids
  • the hearing aids listed by way of example are worn on the outer ear or in the ear canal.
  • bone conduction hearing aids, implantable or vibrotactile hearing aids
  • Such hearing aids are also referred to as “Personal Sound Amplification Products” or “Personal Sound Amplification Devices” (in short: “PSAD”). These hearing aids are not intended to compensate for hearing loss. Rather, such Hearing aids are specifically used to support and improve normal human hearing in specific listening situations.
  • PSAD can be used to assist hunters in the hunt, or even in the observation of birds or bats, to better perceive animal sounds and other animal-generated sounds.
  • PSADs are being developed which allow for improved speech and / or speech comprehension of a hearing-impaired person in difficult conditions, e.g. in "cocktail party” situations, or for sports reporters who want to make calls in a stadium.
  • Yet another application of PSAD is aimed at violinists who want to dampen the spectral pure violin tones during their exercises in order to reduce the continuous burden of their hearing.
  • All types of hearing aids typically include an input transducer, an amplifier, and an output transducer as essential components.
  • an input transducer is usually an acousto-electrical converter, such as a microphone and / or an electromagnetic receiver, such as an induction coil used.
  • the output transducer is usually implemented as an electroacoustic transducer, for example as a miniature speaker, or as an electromechanical transducer, such as a bone conduction receiver.
  • the amplifier is usually integrated in a signal processing device.
  • Hearing aids are equipped by the respective manufacturers with very extensive processing mechanisms for acoustic signal processing.
  • the extensive details of various signal processing properties such as amplification, (dynamic) compression, directional microphone, the increase of the spectral range of speech, the feedback suppression and the suppression of noise (for example, inherent noise of the Microphones or wind noise) adjustable.
  • the parameterizability of modern hearing aids has often reached several thousand parameters in a complexity range that is comparable with the complexity of large medical devices such as computed tomography or magnetic resonance tomographs.
  • the majority of these parameters can be adjusted in a meaningful way only by the manufacturer of the hearing.
  • the parameter settings can decisively influence the hearing sense of the user (ie the hearing quality perceived by the wearer of the respective hearing aid). Only a small proportion of the parameter values, such as, for example, the gain or a sound scale for emphasizing high and / or low tones, are understandable and reasonably adjustable for average users.
  • the user-specific attitude (also: adaptation) of the hearing aid takes over a trained audiologist or "HCP" (Hearing Care Professional), who based on his training concepts of acoustic signal processing such as amplification, dynamic compression, directivity index (in German "directivity index” - a measure, how strong the directivity of the microphones of a hearing system are), noise reduction or feedback suppression knows.
  • HCP Hearing Care Professional
  • the HCP iteratively alters hearing aid parameter values to find a user-tuned parameter setting.
  • the user often can not gain a comprehensive or (for his entire living environment) representative hearing impression in the context of a fitting session. Because the acoustic environment during a fitting session can not represent a variety of situations from the life of the hearing aid wearer. It is also well-known that hearing-impaired people do not have to get used to a new hearing system for weeks, since the brain gradually loses its ability to understand speech over time, as a result of hearing loss. For this reason alone, several consecutive fitting sessions are usually needed to make appropriate adjustments since the user has to learn to deal with restored hearing only bit by bit.
  • the mere restoration or improvement of the hearing is often not the sole criterion for setting the parameters of a hearing aid. It is also important to many users that the effort they put into understanding language is as small as possible. Which parameter setting minimizes the listening effort of an individual user can currently only be found out for a longer period of time.
  • the manufacturer now produces calculation algorithms that modify the settings of the signal processing properties according to the listening request.
  • Such computational algorithms may well be designed to take into account individual characteristics of the user: e.g. the gain is to be increased, the optimum increment of this increase may be greater for persons with mild hearing loss than for those with a severe hearing loss; because the latter is only a lesser extent between the hearing threshold and the discomfort threshold available.
  • calculation algorithms are now supplied to the HCPs with an adaptation software so that they can execute the calculation algorithms as part of a fitting session.
  • the HCP selects in the fitting software the hearing request that it receives from its patient and executes the corresponding calculation algorithm.
  • the calculation algorithms are used by the audiologist to pre-adjust the parameters.
  • the parameters calculated by the respective calculation algorithm are then corrected by the audiologist only if necessary.
  • the audiologist can incorporate his professional experience or his own "differential diagnosis", ie his immediate impressions for the benefit of his patient.
  • the invention is therefore based on the object to enable an effective, but still associated with relatively little effort setting a hearing aid.
  • the feature "as a function of the listening request" is implemented in a preferred embodiment of the method in that the listening request or the desired listening class is recorded as data entry in the archived data record - the user database contains in this case records for all given listening requests or listening desire classes. Alternatively, a separate user database is maintained for each listening request or listening desire class, whereby these user databases the data records are assigned "as a function of the listening request".
  • the feature "as a function of the feedback” is implemented in a preferred embodiment of the method such that the feedback (eg in the form of a binary, multilevel or continuous evaluation) is included as a data entry in the archived data record - in this case the user database contains records for positive and negative feedback.
  • the feedback eg in the form of a binary, multilevel or continuous evaluation
  • the user database contains records for positive and negative feedback.
  • only data records with positive feedback are archived in the user database - data records with the respective other feedback are discarded in the latter case as a function of the feedback.
  • the HG parameters are manually corrected by the user or by an acoustician (audiologist). At the later time, it is preferably determined for detecting the feedback whether the modified HG parameters calculated by the calculation algorithm were taken over unchanged on the hearing aid device or corrected manually. In the case of manual post-corrections, the post-corrected HG parameters are additionally archived in the user database record.
  • the data records contained in the user database are subjected to a cluster analysis in order to determine whether the data records disintegrate into clusters which can be distinguished from one another statistically as a function of the listening request and the feedback and with respect to a subgroup of the HG parameters and personal data. If such a clustering is detected, a modified or supplemented rule for the calculation algorithm which takes account of this clustering is generated, in particular automatically.
  • a case distinction for the calculation algorithm is generated, in particular automatically again the varying parameter changes, depending on one or more of the personal data, are predefined for one or more of the HG parameters.
  • the case-specific changes of the calculation algorithm are preferably determined by averaging over or by (linear or non-linear) adaptation (fitting) to a subset of the data records contained in the user database, which reflects the determined clustering. For example, if it has been found in cluster analysis that Italian-speaking users with statistical significance to a particular listening preference prefer other parameter changes than suggested by the existing calculation algorithm, a new case distinction will be added to the calculation algorithm for Italian-speaking users and non-Italian-speaking users.
  • the properties of the calculation algorithm for the first case i.e., Italian-speaking users
  • the calculation algorithm e.g. using the Levenberg-Marquardt method, to which archived records of Italian-speaking users are "fitted”.
  • the second case i.e., for non-Italian speaking users
  • the previous properties of the calculation algorithm are e.g. keep unchanged.
  • the case distinction is preferably implemented in a higher-level forecasting algorithm which selects the respective associated sub-algorithm as a function of the HG parameters and / or personal data relevant for the case distinction.
  • a plurality of sub-algorithms are selected and executed in parallel, the respective results of which are then averaged (weighted or unweighted).
  • the personal data processed and archived in the course of proceedings should preferably include information on hearing loss, age, sex, gender, language skills (eg main language and, optionally, multilingual and / or foreign language proficiency), nationality , to diseases and / or disabilities of the user.
  • language skills eg main language and, optionally, multilingual and / or foreign language proficiency
  • nationality to diseases and / or disabilities of the user.
  • the HG parameters acquired, determined and archived in the course of the method preferably comprise information on frequency-dependent amplification factors, on compression, on noise suppression (in particular on the strength and frequency-dependent properties of noise suppression), on the directional characteristic of the microphone contained in the hearing aid or on the contained in the hearing aid microphones for applying a feedback suppression (in particular to the strength of the feedback suppression) and / or to a classification of listening situations.
  • the method is not limited to the personal data and HG parameters mentioned. Rather, a multiplicity of further personal data and HG parameters (from the beginning or successively in the course of carrying out the procedure) can be included in the method.
  • the user database is preferably set up so that data records already archived without restructuring the user database can be expanded by further HG parameters and / or personal data, and that new data records can be archived which have an extended set of HG parameters compared to the already archived data records. or personal data.
  • the alternative HG parameters are not determined from the one most similar archived data record, but from a number of similar data sets, wherein the averaged HG parameters of these similar archived data records are averaged.
  • a number of archived data records of other users are selected from the user database which, taking into account the listening request, the personal data and the previous HG parameters, come closest to the corresponding data of the user.
  • the (weighted or re-weighted) averages of the changed HG parameters of these selected archived data records are determined as alternative HG parameters for the user.
  • only archived data records with positive feedback or possibly with successful manual post-corrections are preferably taken into account.
  • the device according to the invention is generally set up to carry out the method described above, in particular in one of the described embodiments.
  • the embodiments of the method described above thus each find their correspondence in corresponding embodiments of the device.
  • the configuration unit can be designed as a hardware device in the context of the invention, for example as a dedicated handheld device for programming the hearing aid.
  • the configuration unit is a software module, for example in the form of an app, which expires on an electronic module
  • Data processing device of the user eg, a computer, smart phone or tablet
  • the hardware of the data processing device such as a Bluetooth transceiver, for data transmission connection setup with the hearing aid uses.
  • the (first) execution environment for executing the calculation algorithm is in particular a so-called middleware, i. a software platform that is installed on the operating system of a computer or other programmatic device and on which the calculation algorithm is executable.
  • the first runtime environment is in particular in the configuration unit, e.g. the above-described smartphone app integrated.
  • the (second) execution environment for executing the evaluation algorithm is implemented in particular on a central server, preferably in a cloud data center.
  • This second runtime environment may also be a middleware within the scope of the invention.
  • the evaluation algorithm runs directly on the server, so that the (second) runtime environment is formed by the operating system of the server.
  • the evaluation algorithm is preferably set up to subject the data records contained in the user database for generating the changed or supplemented rule for the calculation algorithm to the cluster analysis described above.
  • the smartphone 7 is - as well as the hearing aid 4 and the user 5 - not part of the device 1. Rather, the smartphone 7, the hearing aid 4 and the user 5 only interact with the above components of the device 1.
  • These components of the device. 1 are preferably (such as the database server 2 with the user database 3, the server 9 with the second runtime environment 10 and the server 11 with the software repository 12) installed in a cloud data center or distributed to multiple data centers of a cloud or from there ( for example, the app 6 with the first runtime environment 8 and the algorithms B, S and W are provided for download to the smartphone 7.
  • the server 9 is connected to the database server 2 and the server 11, eg via a cloud-internal data transmission network are several of the in Fig. 1 illustrated components of the device 1 also integrated into larger units. For example, the servers 2, 9 and 11 can also be combined in one unit.
  • the smartphone 7 is connected to the server 9 and the software repository 12 via the Internet.
  • a number of calculation algorithms B are stored in the software repository 12, as well as an associated prognosis algorithm S, an associated prognosis algorithm W and an associated evaluation algorithm A.
  • Fig. 1 is an example of two listening requests such a set of associated algorithms B, S, W and A shown, wherein the associated algorithms B, S, W and A are each shown one above the other.
  • the software repository 12 each contains such a set of algorithms B, S, W and A for a plurality of listening wishes H.
  • a common prediction algorithm S a common prediction algorithm W
  • a common prediction algorithm W can also be provided for all listening requests H and / or a common evaluation algorithm A.
  • several of the calculation algorithms B can be combined in an alternative embodiment of the invention to a superordinate (hearing-desire-specific or hearing-desire-spanning) calculation algorithm B.
  • the user 5 first downloads the app 6 from the software repository 12 to the smartphone 7.
  • the app 6 uses a Bluetooth receiver of the smartphone 7 to connect to the hearing aid 4 of the user 5 data transmission technology and possibly the user 5, the HG parameters of the hearing aid 4 (or preferably a selected subset of these HG parameters) by interaction to change with the app 6 via the smartphone 7.
  • the user 5 expresses a hearing desire H by interacting with the app 6 via the smartphone 7, by selecting his from a list given by the app 6 Problem corresponding entry selects.
  • the app 6 then loads the previous HG parameters PB as well as the personal data PD of the user 5 from the hearing aid 4. Furthermore, it loads the hearing algorithm H corresponding prognostic algorithm S from the software repository 12 and brings this forecasting algorithm S in the runtime environment. 8 for execution.
  • the forecasting algorithm S analyzes the previous HG parameters PB and the personal data PD of the user 4 and suggests to the user 5 on this basis the most suitable calculation algorithm B (from the group of the calculation algorithms B assigned to the listening request H) in accordance with internal specifications.
  • the user 5 can now confirm the proposed calculation algorithm B or another by interaction with the app 6 via the smartphone 7 select the calculation algorithm B associated with the listening request H.
  • the confirmed or selected calculation algorithm B is downloaded by the app 6 from the software repository 12 and executed in the runtime environment 8.
  • the calculation algorithm B calculates changed HG parameters PG based on the previous HG parameters PB and the personal data PD of the user 4. These changed HG parameters PG are then applied to the hearing aid 4 by the app 6 using the Bluetooth receiver of the smartphone 7.
  • the app 6 also downloads the forecasting algorithm W corresponding to the listening request H from the software repository 12 and executes this forecasting algorithm W in the execution environment 8.
  • the prediction algorithm W calculates an optimal repeat scheme according to internal specifications, the information about a repetition number for the repeated execution of the used calculation algorithm B and the optimal waiting time between the repetitions.
  • the determined repetition number can also be zero in the individual case.
  • the prediction algorithm W also automatically initiates the repeated execution of the used calculation algorithm B according to the determined repetition scheme or at least reminds the user 5 of the execution of the calculation algorithm B according to this repetition scheme.
  • the user 5 can manually correct the HG parameters of the hearing aid 4 by interacting with the app 6 via the smartphone 7. Furthermore, the user 5 can cancel the execution of the forecasting algorithm W prematurely. After performing the recommended retry scheme, or when the user 5 aborts execution of the prediction algorithm W, the app 6 prompts the user 5 via the smartphone 7 for a response time R given by the prediction algorithm W depending on the calculation algorithm B used , The waiting time can be canceled by the user 5.
  • the feedback R contains a binary indication as to whether the user 5 wants to accept the HG parameter PG changed by the calculation algorithm B (positive feedback) or reject (negative feedback). If the user 5 rejects the changed HG parameters PG, and if the user 5 has manually corrected the HG parameters manually since the first time the calculation algorithm B was performed, the app 6, in interaction with the user 5, retains the post-corrected HG parameters P Hearing aid 4 either at or restores the previous HG parameters PB.
  • the server 9 downloads the evaluation algorithm A corresponding to the listening request H from the software repository 12 and executes this evaluation algorithm W in the runtime environment 10.
  • the evaluation algorithm A is subdivided into two sub-algorithms, which can basically be executed independently of one another and which are therefore implemented in separate embodiments of the device 1 as separate algorithms.
  • a first sub-algorithm of the evaluation algorithm A searches the user database 3 as a function of the listening request H for archived records D of other users with positive feedback R ', the personal data PD of the user 5 and the previous HG parameters PB of the hearing aid 4 come to the next. From a certain number (eg ten) of the data sets D found thereby, which have the greatest similarity to the data of the user 5, the first subalgorithm forms mean values of the changed HG parameters PG 'and transmits these mean values as alternative HG parameters PA to the app 6.
  • the alternative HG parameters PA are then loaded using the Bluetooth receiver of the smartphone 7 on the hearing aid 4, if the user 5 accepts the acquisition.
  • the second sub-algorithm (also: adaptation algorithm) of the evaluation algorithm A subjects the records of other users of a cluster analysis archived in the user database 3.
  • it is in particular checked whether the distribution of the values of certain modified or post-corrected HG parameters (in particular for the same type of feedback R ') over certain personal data PD' and / or other HG parameters (in particular the previous HG parameters PB ') falls into statistically distinguishable clusters (accumulations). If such a cluster is found in this case, the second sub-algorithm automatically creates a new calculation algorithm B for the relevant listening request by re-integrating the variables of the existing calculation algorithm B using an optimization method (Fit) With respect to those archived records D that make up the found cluster.
  • Fit optimization method
  • the newly created calculation algorithm B feeds the evaluation algorithm A into the software repository 12 as a change CB.
  • the evaluation algorithm A inserts a new case distinction into the prediction algorithm S with a change CS, so that the prognosis algorithm S now proposes the newly created calculation algorithm B for personal data PD and / or HG parameters which correspond to the determined cluster.
  • the evaluation algorithm A also adjusts the prognosis algorithm W with a change CW, so that this prognosis algorithm W proposes suitable repetition numbers and waiting times for the calculation algorithm B.
  • the execution of the adaptation algorithm (ie of the second sub-algorithm of the evaluation algorithm) is preferably also triggered by other events (triggers), e.g. by the expiration of a certain period of time, by the user database 3 having grown by a predetermined number of data records D, by manual action, etc.
  • the entire software repository 12 (but without the evaluation algorithms A) is always delivered to the runtime environment 8.
  • the user 5 can thus perform the algorithm-based calculation of the changed HG parameters also offline, namely, when the smartphone 7 has no connection to the Internet.
  • the transmission of user data and user actions in the user database 3 takes place in this case delayed, when the smartphone 7 again has an Internet connection.
  • parameter changes can also be archived and analyzed by which the changed or post-corrected HG parameters PG, PK differ from the previous HG parameters PB.
  • a calculation algorithm is stored, which slightly raises the gain in the frequency range between 1 kHz and 4 kHz. Many users use this calculation algorithm. Some of these users are still doing a post-correction on the gain controllers. The executions of the use and also the post-corrections are stored in the user database 3.
  • the matching algorithm which is set up for the calculation algorithm "boosting in the frequency range of 1 kHz and 4 kHz", is activated. He examines the existing data sets D for connections. First, the post-corrections appear to be insignificant: there are post-corrections, but they give an inconsistent picture.
  • the picture arises because the variance (variance) in the post-corrections is comparatively small compared to the mean value of the post-corrections.
  • This example is based on the fact that the dominant frequencies in the French language are between 1 kHz and 2 kHz, whereas the dominant frequencies in Italian are between 2 kHz and 4 kHz.
  • a calculation algorithm B oriented to this listening request is designed such that it changes a large number of HG parameters of the hearing aid device 4 in each case slightly.
  • the calculation algorithm works universally, that is to say in the case of same for every user.
  • the default parameter changes have been made so small that a simple calculation algorithm will only slightly change noise that is visible as "needle-shaped" peaks in the time scale of the volume.
  • the adaptation algorithm therefore adapts the prediction algorithm W to suggest to the minor hearing-impaired with a hearing loss of more than 60 dB in the high-frequency range to execute the calculation algorithm B 3-fold.
  • the prediction algorithm S suggests the first calculation algorithm B by default. Many users try out the effect of the two calculation algorithms and then choose one of them. The selection of which calculation algorithm B is now used is stored with the listening request H in the patient history of the user database 3.
  • the adaptation algorithm analyzes the selection of accumulated accumulated cases of this hearing request H.
  • the analysis provides the result that the majority of Chinese native speakers prefer the second B calculation algorithm to the first one.
  • the adaptation algorithm then alters the prediction algorithm S in such a way that the second calculation algorithm B is proposed as default to users with a native Chinese language.
  • the forecasting algorithm S uses a table in which relative frequencies of the selections are entered.
  • the adaptation algorithm expands the table such that a differentiation by native language is now inserted.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Otolaryngology (AREA)
  • Neurosurgery (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
EP17187121.3A 2016-08-25 2017-08-21 Verfahren und einrichtung zur einstellung eines hörhilfegeräts Withdrawn EP3288293A1 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102016216054.0A DE102016216054A1 (de) 2016-08-25 2016-08-25 Verfahren und Einrichtung zur Einstellung eines Hörhilfegeräts

Publications (1)

Publication Number Publication Date
EP3288293A1 true EP3288293A1 (de) 2018-02-28

Family

ID=59677152

Family Applications (1)

Application Number Title Priority Date Filing Date
EP17187121.3A Withdrawn EP3288293A1 (de) 2016-08-25 2017-08-21 Verfahren und einrichtung zur einstellung eines hörhilfegeräts

Country Status (4)

Country Link
US (1) US20180063653A1 (zh)
EP (1) EP3288293A1 (zh)
CN (1) CN107786930A (zh)
DE (1) DE102016216054A1 (zh)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220279296A1 (en) * 2021-02-26 2022-09-01 Team Ip Holdings, Llc System and method for interactive mobile fitting of hearing aids

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10687155B1 (en) * 2019-08-14 2020-06-16 Mimi Hearing Technologies GmbH Systems and methods for providing personalized audio replay on a plurality of consumer devices
WO2019195866A1 (en) * 2018-04-11 2019-10-17 Two Pi Gmbh Method for enhancing the configuration of a hearing aid device of a user
DK3649792T3 (da) * 2018-06-08 2022-06-20 Sivantos Pte Ltd Fremgangsmåde til overførsel af en bearbejdningstilstand i en audiologisk tilpasningsapplikation til et høreapparat
CN110830899A (zh) * 2018-08-10 2020-02-21 元健大和直贩事业股份有限公司 云端听力服务中心的互联调整方法
EP3614695A1 (en) * 2018-08-22 2020-02-26 Oticon A/s A hearing instrument system and a method performed in such system
US11330377B2 (en) 2019-08-14 2022-05-10 Mimi Hearing Technologies GmbH Systems and methods for fitting a sound processing algorithm in a 2D space using interlinked parameters
EP3783920A1 (en) * 2019-08-23 2021-02-24 Sonova AG Method for controlling a sound output of a hearing device
DE102019216100A1 (de) * 2019-10-18 2021-04-22 Sivantos Pte. Ltd. Verfahren zum Betrieb eines Hörgeräts sowie Hörgerät
DE102019219908B4 (de) * 2019-12-17 2023-12-07 Sivantos Pte. Ltd. Verfahren zur fotografischen Erfassung eines Ohrs
US11601765B2 (en) * 2019-12-20 2023-03-07 Sivantos Pte. Ltd. Method for adapting a hearing instrument and hearing system therefor
DE102020202915B4 (de) * 2020-03-06 2022-05-05 Sivantos Pte. Ltd. Verfahren zur Übertragung eines Hörgeräteeinstelldatensatzes von einem ersten Hörgerät auf ein zweites Hörgerät, Hörgerätesystem und Hörgerät
DE102020209050B4 (de) * 2020-07-20 2022-05-25 Sivantos Pte. Ltd. Verfahren zum Betrieb eines Hörsystems, Hörsystem, Hörgerät
DE102020214914A1 (de) 2020-11-27 2022-06-02 Sivantos Pte. Ltd. Verfahren zur Unterstützung eines Nutzers eines Hörgerätes, Hörgerät und Computerprogrammprodukt
CN112686295B (zh) * 2020-12-28 2021-08-24 南京工程学院 一种个性化听力损失建模方法
EP4289145A1 (en) * 2021-02-04 2023-12-13 Widex A/S Method of operating an in situ fitting system and an in situ fitting system
CN116156402B (zh) * 2023-04-20 2023-07-21 深圳市英唐数码科技有限公司 基于环境状态监测的助听设备智能响应方法、系统及介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0681411A1 (de) * 1994-05-06 1995-11-08 Siemens Audiologische Technik GmbH Programmierbares Hörgerät
EP2426953A1 (en) * 2010-04-19 2012-03-07 Panasonic Corporation Hearing aid fitting device
EP2549397A1 (en) * 2012-07-02 2013-01-23 Oticon A/s Method for customizing a hearing aid
US20130202123A1 (en) * 2011-03-31 2013-08-08 Makoto Nishizaki Hearing aid adjustment device, hearing aid adjustment method, and program for hearing aid adjustment

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2046073B1 (en) * 2007-10-03 2017-03-08 Oticon A/S Hearing aid system with feedback arrangement to predict and cancel acoustic feedback, method and use
DE102011006471B4 (de) * 2011-03-31 2013-08-08 Siemens Medical Instruments Pte. Ltd. Hörhilfegerät sowie Hörgerätesystem mit einem Richtmikrofonsystem sowie Verfahren zum Einstellen eines Richtmikrofons bei einem Hörhilfegerät
CN105764018B (zh) * 2016-04-21 2019-07-09 天津大学 一种基于智能终端的自主验配助听器系统及其方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0681411A1 (de) * 1994-05-06 1995-11-08 Siemens Audiologische Technik GmbH Programmierbares Hörgerät
EP2426953A1 (en) * 2010-04-19 2012-03-07 Panasonic Corporation Hearing aid fitting device
US20130202123A1 (en) * 2011-03-31 2013-08-08 Makoto Nishizaki Hearing aid adjustment device, hearing aid adjustment method, and program for hearing aid adjustment
EP2549397A1 (en) * 2012-07-02 2013-01-23 Oticon A/s Method for customizing a hearing aid

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20220279296A1 (en) * 2021-02-26 2022-09-01 Team Ip Holdings, Llc System and method for interactive mobile fitting of hearing aids
US11622216B2 (en) * 2021-02-26 2023-04-04 Team Ip Holdings, Llc System and method for interactive mobile fitting of hearing aids

Also Published As

Publication number Publication date
US20180063653A1 (en) 2018-03-01
CN107786930A (zh) 2018-03-09
DE102016216054A1 (de) 2018-03-01

Similar Documents

Publication Publication Date Title
EP3288293A1 (de) Verfahren und einrichtung zur einstellung eines hörhilfegeräts
DE60222813T2 (de) Hörgerät und methode für das erhöhen von redeverständlichkeit
EP3451705B1 (de) Verfahren und vorrichtung zum schnellen erkennen der eigenen stimme
EP2306756B1 (de) Verfahren zur Feinanpassung eines Hörhilfegerätes sowie Hörhilfegerät
DE102016209329B4 (de) Verfahren zur automatisierten Ermittlung von Parameterwerten für ein Hörhilfegerät
DE102018216667B3 (de) Verfahren zur Verarbeitung von Mikrofonsignalen in einem Hörsystem sowie Hörsystem
EP3840418A1 (de) Verfahren zur anpassung eines hörinstruments und zugehöriges hörsystem
EP1898669A2 (de) Geschlechtsspezifische Hörgeräteanpassung
DE102018202429B3 (de) Verfahren zur Anpassung von Parametern eines Hörsystems
DE102009043775A1 (de) Verfahren zum Einstellen einer Hörvorrichtung anhand eines emotionalen Zustandes und entsprechende Hörvorrichtung
EP1453358B1 (de) Vorrichtung und Verfahren zur Einstellung eines Hörgeräts
EP2302952B1 (de) Selbstanpassung eines Hörhilfegerätes
EP2172062B1 (de) Verfahren zum anpassen eines hörgeräts mit hilfe eines perzeptiven modells
EP3873108A1 (de) Hörsystem mit mindestens einem im oder am ohr des nutzers getragenen hörinstrument sowie verfahren zum betrieb eines solchen hörsystems
EP2239963B1 (de) Verfahren und Hörvorrichtung zum Einstellen eines Hörgeräts mit in einer externen Einheit aufgezeichneten Daten
DE102019203786A1 (de) Hörgerätesystem
DE102006015497B4 (de) Audiosystem und Verfahren sowie Computerprogramm und Datenträger der das Computerprogramm enthält zur Anpassung der Übertragungsfunktion eines Audiosystems mittels Sprachsteuerung
DE102012203349B4 (de) Verfahren zum Anpassen einer Hörvorrichtung anhand des Sensory Memory und Anpassvorrichtung
DE102016207936A1 (de) Verfahren zum Betrieb eines Hörgeräts
WO2011103934A1 (de) Verfahren zum trainieren des sprachverstehens und trainingsvorrichtung
EP3944635B1 (de) Verfahren zum betrieb eines hörsystems, hörsystem, hörgerät
DE102022200810B3 (de) Verfahren für ein Hörsystem zur Anpassung einer Mehrzahl an Signalverarbeitungsparametern eines Hörinstrumentes des Hörsystems
WO2024104945A1 (de) Verfahren zum betrieb eines hörgeräts sowie hörgerät
DE102023200008A1 (de) Verfahren zum Betrieb eines Hörgeräts
WO2024051971A1 (de) Verfahren zur anpassung einer hörvorrichtung

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION HAS BEEN PUBLISHED

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20180829