EP0814635A1 - Prothèse auditive - Google Patents

Prothèse auditive Download PDF

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Publication number
EP0814635A1
EP0814635A1 EP96110068A EP96110068A EP0814635A1 EP 0814635 A1 EP0814635 A1 EP 0814635A1 EP 96110068 A EP96110068 A EP 96110068A EP 96110068 A EP96110068 A EP 96110068A EP 0814635 A1 EP0814635 A1 EP 0814635A1
Authority
EP
European Patent Office
Prior art keywords
calculation
hearing aid
amplifier
signal
output
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.)
Granted
Application number
EP96110068A
Other languages
German (de)
English (en)
Other versions
EP0814635B1 (fr
Inventor
Oliver Dipl.-Ing. Weinfurtner
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 GmbH
Original Assignee
Siemens Audioligische Technik GmbH
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
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Application filed by Siemens Audioligische Technik GmbH filed Critical Siemens Audioligische Technik GmbH
Priority to EP96110068A priority Critical patent/EP0814635B1/fr
Priority to DE59609755T priority patent/DE59609755D1/de
Priority to AT96110068T priority patent/ATE225591T1/de
Priority to DK96110068T priority patent/DK0814635T3/da
Priority to US08/864,063 priority patent/US6005954A/en
Publication of EP0814635A1 publication Critical patent/EP0814635A1/fr
Application granted granted Critical
Publication of EP0814635B1 publication Critical patent/EP0814635B1/fr
Anticipated expiration legal-status Critical
Revoked legal-status Critical Current

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    • 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
    • H04R25/507—Customised settings for obtaining desired overall acoustical characteristics using digital signal processing implemented by neural network or fuzzy logic

Definitions

  • the invention relates to a hearing aid according to the preamble of claim 1.
  • a "signal” is to be understood here as the course of one or more physical variables at one or more measuring points over time; each signal can therefore consist of a bundle of individual signals.
  • Such a hearing device is known from EP-A-0 674 464, in which a fuzzy logic controller is provided in order to either change the signal transmission characteristic of an amplifier and transmission device or to automatically select a set of parameters influencing the signal transmission characteristic from a parameter memory .
  • EP-A-0 674 463 discloses a similar hearing device in which an fuzzy logic controller is assigned to an automatic gain control circuit (AGC).
  • AGC automatic gain control circuit
  • the object of the invention is accordingly to solve the stated problem.
  • the invention is intended to provide a hearing aid that can be manufactured with little development and circuitry effort and thereby enables optimal adaptation to the specific requirements of the hearing aid wearer.
  • this object is achieved in that, in the case of a hearing aid of the type mentioned at the outset, at least the calculation device is implemented in digital circuit technology.
  • a digital structure of a computing device that implements fuzzy logic functions offers a high degree of compatibility with digital signal processing: an additional implementation (analog / digital or digital / analog) is not necessary, and the computing device can be used in whole or in part with the same components as the rest of the processing of the signals. This results in the computing device being easy to combine with conventional digital data and signal processing functions, such as, for example are common in microprocessors or signal processors.
  • digital technology offers advantages such as increased interference immunity and insensitivity to manufacturing tolerances.
  • the calculation device is preferably formed with conventional digital components such as gates, flip-flops, memories, etc.; more generally with switching networks and switching mechanisms.
  • it can be designed as an ASIC (application-specific integrated circuit).
  • ASIC application-specific integrated circuit
  • ROM read-only memory
  • PROM PROM
  • EPROM EPROM
  • RAM read-write memory
  • Mixed forms are also possible; for example, specific hard-wired modules can be connected to a programmed controller. This is particularly useful for functions that are carried out frequently and can be implemented digitally relatively easily, for example for functions for calculating the maximum or minimum of several binary numbers.
  • the calculation device is preferably used for direct signal processing and / or for the control of signal processing functions and / or for the automatic selection of hearing programs in the hearing aid.
  • the computing device of the hearing aid realizes the fuzzy logic functions preferably by executing the sub-steps fuzzy-fying of sharp input variables, evaluating premises, evaluating partial conclusions, accumulating output terms and defuzzifying.
  • the calculations required for this are preferably distributed over several calculation modules, which can have local or shared memories.
  • Configuration parameters of the calculation device are preferably stored in a memory, for example a RAM or EEPROM, so that re-programming of the calculation device by the hearing care professional and / or even adaptation of the function of the calculation device during operation of the hearing device is possible.
  • a memory for example a RAM or EEPROM
  • a microphone acting as an input converter 12 converts a sound signal into an electrical signal and forwards it to an amplifier and transmission circuit 10.
  • the amplifier and transmission circuit 10 amplifies the incoming signal and processes it, for example by selectively raising or lowering certain frequency or volume ranges.
  • the output signal 28 processed in this way is output by a receiver serving as an output transducer 14.
  • a tap signal 22 is tapped from the signal path of the hearing aid at at least one suitable point in the amplifier and transmission circuit 10 and is fed to a signal processing device 16.
  • the tap signal 22 can furthermore have individual signals which originate from further input converters, from operating elements or from sensors for monitoring system properties (for example the battery voltage).
  • the signal processing device 16 prepares the tap signal 22 in a suitable manner, for example by rectification, averaging or derivation over time, in order to supply it to an arithmetic unit 20 which implements fuzzy logic functions as an input signal 24.
  • an arithmetic unit 20 which implements fuzzy logic functions as an input signal 24.
  • the calculation device 20 has a memory 18 which stores intermediate results and, if appropriate, configuration parameters of the calculation device 20.
  • the computing device 20 processes the input signal 24 supplied to it in the manner described in more detail below the principles of fuzzy logic and outputs the result as a result signal 26 to the amplifier and transmission device 10, the amplification and transmission properties of which can be varied within wide limits by the result signal 26 acting as a control signal.
  • only the computing device 20 is designed digitally, while the other assemblies, apart from the analog-digital and digital-analog converters that may be required, are formed as analog circuits.
  • the amplifier and transmission device 10 the signal conditioning circuit 16 and the calculation device 20 are essentially digital, and the tap signal 22, the input signal 24 and the result signal 26 are digital signals, which preferably transmit in parallel as successive binary numbers on several lines will.
  • only the amplifier and transmission device 10 has an analog-to-digital converter for the signal originating from the input converter 12 and a digital-to-analog converter which generates the output signal 28 passed to the output converter 14.
  • the result signal 26 controls the transmission characteristic of the amplifier and transmission device 10 directly by the individual signals of the result signal 26, individual parameters of the amplifier and transmission device 10, for example the amplification of certain frequency bands or response and Fall times of an automatic gain control (AGC) can be set.
  • AGC automatic gain control
  • the amplifier and transmission device 10 has a memory which contains a plurality of preset or programmed parameter sets. A parameter set of this memory is selected based on the result signal 26, for example in that the digital result signal 26 serves as a memory address.
  • the amplifier and transmission device 10 has no direct signal path from the input converter 12 to the output converter 14. Rather, the signal path runs from the input converter 12 via a first part of the amplifier and transmission device 10 to the signal conditioning device 16, from there to the calculation device 20, from there as the result signal 26 to a second part of the amplifier and transmission device 10 and from there as the output signal 28 to Output converter 14. In the second part of the amplifier and transmission device 10, the digital result signal 26 is merely converted into an analog signal and, if necessary, filtered.
  • the structure shown in FIG. 2 is used only for the conceptual representation of a fuzzy logic calculation, because in the actual implementation any assignment of the subfunctions shown in FIG. 2 to one or more modules of the calculation device 20 can be done.
  • Step 1) Fuzzification of the input variables
  • Fuzzification determines what value a membership function of each linguistic term of the corresponding linguistic variable has for the current value of the input variable.
  • the example set of rules contains two linguistic variables A and B, each with two linguistic terms, namely (A is small), (A is large) and (B is small), (B is large).
  • the graphs shown in FIG. 3 represent the membership functions of these terms: ⁇ small (A), ⁇ large (A) and ⁇ small (B), ⁇ large (B).
  • each input value is normalized to the internally used abscissa before the fuzzy process begins. It is further assumed that the input values have already been standardized.
  • the degree of fulfillment is determined by reading out the y value assigned to the corresponding x value from the memory.
  • the value of the inverse membership function must be determined using the formula given above. Alternatively, the values given in square brackets above can be used in the calculation.
  • Step 2) Evaluation of the premises
  • the values of the membership functions calculated in step 1) which correspond to the degree of fulfillment of the partial premises (A is large), (B is large) and so on, are in the example set of rules used here by linguistic AND and OR operators to the premises of the individual Rules linked.
  • the calculation of the AND and OR operations of the partial premises is preferably carried out by calculating the minimum or the maximum of the corresponding degrees of fulfillment, as shown in FIG. 6.
  • the result of this operation is the degree of fulfillment of the respective premise [(A is large) AND (B is large)], [(A is large) OR (B is large)] and so on. This calculation is done for all rules.
  • each partial conclusion is activated to the extent that the premises assigned to it in the set of rules are fulfilled.
  • the result of this operation is the degree of activation of the partial conclusion. This calculation is done for all partial conclusions.
  • the sharp initial value x is calculated as the mean value of the positions of the maxima of f active (X).
  • the range over which integration or summation is carried out is preferably limited to the interval between X min and X max ; the interval between the smallest and the largest X value, for which f active (X)> 0 applies. This information arises when the starting terms are accumulated.
  • the method described in the following allows a reduced-cost calculation of the steps from the activation of the terms of the output variables to the defuzzification.
  • mapping functions the degree of activation of the conclusion is mapped on the one hand to the activated area F n of the starting term, and on the other hand it is centered on a position S n this activated surface imaged. Both mapping rules do not have to be evaluated at runtime of the system, since they are only dependent on the starting stars and the method of converting the degree of activation of the conclusion into the activation of the terms (maximum formation or multiplication) shown in FIG. 8.
  • FIG. 12 shows a first embodiment of the calculation device 20 according to the invention, which carries out the fuzzy logic functions described.
  • the calculation device 20 has six calculation modules 30, which are connected in series via five buffers 32.
  • a memory module 34 each with a configuration input 36, is assigned to each calculation module 30.
  • a control module 40 is connected to all calculation modules 30 and to a working memory 42 which can be accessed from the outside via a connection 44.
  • One of the calculation modules 30 corresponds to each subfunction type 50, 52, 54, 56, 58 and 60 shown in FIG. 2.
  • the first calculation module 30 receives the sharp input values as an input signal 24; the last calculation module 30 outputs the calculated sharp result values as result signal 26.
  • the intermediate results are transferred between the calculation modules 30 via the buffer 32.
  • Each memory module 34 can also contain configuration information for the subfunction performed by the respective calculation module 30.
  • Such configuration information can, for example, be the membership functions of the input variables in the first calculation module 30 which receives the input signal 24.
  • the memory modules 34 can be written from the outside via the configuration inputs 36.
  • the control module 40 coordinates the overall process and the cooperation of the calculation modules 30. For example, the processing time in the individual calculation modules 30 can be different.
  • the task of the control module 40 is to notify each calculation module 30 when the intermediate results of the previous calculation module 30 are pending further processing.
  • calculation modules 30 and the other components of the calculation device 20 results directly from the description of the corresponding sub-functions in a known manner. It can be done by switching networks, switching mechanisms or a combination of both. Their exact function can be determined by configuration information.
  • the number of the calculation modules 30 provided in the calculation device 20 need not necessarily be six. There may be more or fewer calculation modules 30 in order to subdivide the calculation of the fuzzy logic functions more finely or roughly. For example, five calculation modules 30 corresponding to steps 1) to 5) described above can be used, or only one calculation module 30 ', as shown in FIG. 14.
  • FIG. 13 shows an embodiment variant of the calculation device 20. All the intermediate memories 32 and memory modules 34 shown in FIG. 12 and the working memory 42 are combined here to form the single memory 18. This allows more efficient use of the storage space, since it can be partitioned as desired and assigned to the individual modules as required. In this way, information which is required by different modules only has to be stored once in the memory 18.
  • calculation module 30 shows a further embodiment variant of the calculation device 20.
  • all the calculation modules 30 are combined to form a single calculation module 30 '. If this calculation module 30 ' is additionally designed as largely as possible as a programmable operational unit, its computing power can be partitioned as desired and assigned to the individual subfunctions. This ensures optimal data throughput through the entire system.
  • the calculation modules 30 (or the calculation module 30 ') have access to a preferably hard-wired module for determining the minimum and / or the maximum of two or more binary numbers. This is advantageous because the formation of the minimum and the maximum are two basic functions that occur in many fuzzy logic subfunctions.

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Otolaryngology (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurosurgery (AREA)
  • Automation & Control Theory (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Feedback Control In General (AREA)
  • Adornments (AREA)
  • Finger-Pressure Massage (AREA)
  • Tone Control, Compression And Expansion, Limiting Amplitude (AREA)
  • Amplifiers (AREA)
EP96110068A 1996-06-21 1996-06-21 Prothèse auditive Revoked EP0814635B1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
EP96110068A EP0814635B1 (fr) 1996-06-21 1996-06-21 Prothèse auditive
DE59609755T DE59609755D1 (de) 1996-06-21 1996-06-21 Hörgerät
AT96110068T ATE225591T1 (de) 1996-06-21 1996-06-21 Hörgerät
DK96110068T DK0814635T3 (da) 1996-06-21 1996-06-21 Høreapparat
US08/864,063 US6005954A (en) 1996-06-21 1997-05-28 Hearing aid having a digitally constructed calculating unit employing fuzzy logic

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP96110068A EP0814635B1 (fr) 1996-06-21 1996-06-21 Prothèse auditive

Publications (2)

Publication Number Publication Date
EP0814635A1 true EP0814635A1 (fr) 1997-12-29
EP0814635B1 EP0814635B1 (fr) 2002-10-02

Family

ID=8222921

Family Applications (1)

Application Number Title Priority Date Filing Date
EP96110068A Revoked EP0814635B1 (fr) 1996-06-21 1996-06-21 Prothèse auditive

Country Status (5)

Country Link
US (1) US6005954A (fr)
EP (1) EP0814635B1 (fr)
AT (1) ATE225591T1 (fr)
DE (1) DE59609755D1 (fr)
DK (1) DK0814635T3 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0964603A1 (fr) * 1998-06-10 1999-12-15 Oticon A/S Procédé de traitement de signaux sonores et dispositif de mise en oeuvre du procédé

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1348674A (zh) * 1998-11-24 2002-05-08 福纳克有限公司 助听器
US6937738B2 (en) 2001-04-12 2005-08-30 Gennum Corporation Digital hearing aid system
US6633202B2 (en) 2001-04-12 2003-10-14 Gennum Corporation Precision low jitter oscillator circuit
EP1251715B2 (fr) * 2001-04-18 2010-12-01 Sound Design Technologies Ltd. Prothèse auditive multicanaux avec communication entre les canaux
DE60223869D1 (de) * 2001-04-18 2008-01-17 Gennum Corp Digitaler Quasi-Mittelwertdetektor
US20020191800A1 (en) * 2001-04-19 2002-12-19 Armstrong Stephen W. In-situ transducer modeling in a digital hearing instrument
DE10131964B4 (de) * 2001-07-02 2005-11-03 Siemens Audiologische Technik Gmbh Verfahren zum Betrieb eines digitalen programmierbaren Hörgerätes sowie digitales programmierbares Hörgerät
US7113589B2 (en) * 2001-08-15 2006-09-26 Gennum Corporation Low-power reconfigurable hearing instrument
US9787413B2 (en) * 2014-12-08 2017-10-10 Walid Khairy Mohamed Ahmed Circuits, systems and methods of hybrid electromagnetic and piezoelectric communicators
US10756811B2 (en) 2017-09-10 2020-08-25 Mohsen Sarraf Method and system for a location determination using bi-modal signals

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1993005471A1 (fr) * 1991-09-11 1993-03-18 Siemens Aktiengesellschaft Regisseur a logique floue avec organisation optimisee de la memoire
US5361325A (en) * 1992-03-27 1994-11-01 Nec Research Institute, Inc. Fuzzy syllogistic system
EP0674464A1 (fr) * 1994-03-23 1995-09-27 Siemens Audiologische Technik GmbH Prothèse auditive programmable avec commande en logique floue
EP0674462A1 (fr) * 1994-03-23 1995-09-27 Siemens Audiologische Technik GmbH Dispositif pour l'adaptation de prothèses auditives
DE4439505A1 (de) * 1994-11-08 1996-05-09 Siemens Ag Verfahren zum Entwurf eines Fuzzy-Reglers

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0674463A1 (fr) * 1994-03-23 1995-09-27 Siemens Audiologische Technik GmbH Prothèse auditive programmable
DE59410235D1 (de) * 1994-05-06 2003-03-06 Siemens Audiologische Technik Programmierbares Hörgerät
DE4419901C2 (de) * 1994-06-07 2000-09-14 Siemens Audiologische Technik Hörhilfegerät

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1993005471A1 (fr) * 1991-09-11 1993-03-18 Siemens Aktiengesellschaft Regisseur a logique floue avec organisation optimisee de la memoire
US5361325A (en) * 1992-03-27 1994-11-01 Nec Research Institute, Inc. Fuzzy syllogistic system
EP0674464A1 (fr) * 1994-03-23 1995-09-27 Siemens Audiologische Technik GmbH Prothèse auditive programmable avec commande en logique floue
EP0674462A1 (fr) * 1994-03-23 1995-09-27 Siemens Audiologische Technik GmbH Dispositif pour l'adaptation de prothèses auditives
DE4439505A1 (de) * 1994-11-08 1996-05-09 Siemens Ag Verfahren zum Entwurf eines Fuzzy-Reglers

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0964603A1 (fr) * 1998-06-10 1999-12-15 Oticon A/S Procédé de traitement de signaux sonores et dispositif de mise en oeuvre du procédé

Also Published As

Publication number Publication date
DE59609755D1 (de) 2002-11-07
DK0814635T3 (da) 2003-02-03
EP0814635B1 (fr) 2002-10-02
ATE225591T1 (de) 2002-10-15
US6005954A (en) 1999-12-21

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