Acoustic feedback event monitoring system for hearing assistance devices

Abstract

The present disclosure relates to tracking of acoustic feedback events of a hearing assistance device, such as a hearing aid. Information about the acoustic feedback events is stored for analysis. Such information is useful for programming acoustic feedback cancellers and other parameters of a hearing assistance device.

Claims

1. A system for storing information relating to acoustic feedback events, comprising: a hearing device having an acoustic feedback canceller; a monitoring device including a processor programmed to monitor performance of the acoustic feedback canceller of the hearing device, including tracking information about acoustic feedback events over an interval of use of the hearing device in different acoustic environments experienced by a wearer of the hearing device, wherein the tracking is activated upon occurrence of a programmable event, wherein the processor is configured to detect a magnitude of severity of a feedback event of the acoustic feedback events and to reduce feedback based on the detected magnitude; and a network-accessible data storage configured to store the tracked information, including storing an indication of the magnitude of severity of the feedback event of the acoustic feedback events, wherein the tracked information is accessible for analysis to determine aspects of the acoustic feedback experienced by the hearing device over the interval of use.

2. The system of claim 1, wherein the monitoring device further includes wireless electronics adapted to perform wireless communication of the information.

3. The system of claim 2, wherein the wireless electronics are configured to perform radio frequency communication.

4. The system of claim 2, wherein the wireless electronics are configured to perform magnetic coupling communication.

5. The system of claim 1, wherein the network-accessible data storage is adapted to store the information including a total number of occurrences of a feedback event.

6. The system of claim 1, wherein the network-accessible data storage is adapted to store the information including statistical information about acoustic feedback events.

7. The system of claim 1, wherein the network-accessible data storage is adapted to store the information including a number of feedback events per unit time.

8. The system of claim 1, wherein the monitoring device includes a cellular telephone.

9. The system of claim 1, wherein the monitoring device includes a portable digital storage device.

10. The system of claim 1, wherein the monitoring device includes a personal computer.

11. A method, comprising: monitoring performance of a hearing device using a monitoring device, including tracking information about acoustic feedback events over an interval of use of the hearing device in different acoustic environments experienced by a wearer of the hearing device, wherein the tracking is activated upon occurrence of a programmable event; detecting a magnitude of severity of a feedback event of the acoustic feedback events; reducing feedback based on the detected magnitude; and storing the tracked information in a network-accessible data storage in communication with the monitoring device, including storing an indication of the magnitude of severity of the feedback event of the acoustic feedback events, wherein the tracked information is accessible for analysis to determine aspects of the acoustic feedback experienced by the hearing device over the interval of use.

12. The method of claim 11, wherein the tracked information includes one or more of a total number of occurrences the acoustic feedback events and a number of the acoustic feedback events per unit time.

13. The method of claim 11, further comprising providing the information to a programming system to analyze the acoustic feedback events.

14. The method of claim 13, wherein the monitoring device includes the programming system.

15. The method of claim 13, wherein a histogram is generated using the information.

16. The method of claim 11, further comprising transferring the tracked information from the monitoring device to the network-accessible data storage before storing the tracked information.

17. The method of claim 16, wherein transferring the tracked information includes using the internet.

18. The method of claim 16, wherein transferring the tracked information includes using a wireless network.

19. The method of claim 18, wherein transferring the tracked information includes using radio frequency transmission.

20. The method of claim 18, wherein transferring the tracked information includes using magnetic coupling transmission.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) FIG. 1 is a block diagram showing hearing assistance devices and programming equipment, according to one embodiment of the present subject matter.

(2) FIG. 2 demonstrates one type of output possible with the present system, according to one embodiment of the present subject matter.

(3) FIG. 3 shows a functional block diagram of a hearing assistance system according to one embodiment of the present invention and a representation of an acoustic feedback path.

DETAILED DESCRIPTION

(4) The following detailed description of the present subject matter refers to subject matter in the accompanying drawings which show, by way of illustration, specific aspects and embodiments in which the present subject matter may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present subject matter. References to “an”, “one”, or “various” embodiments in this disclosure are not necessarily to the same embodiment, and such references contemplate more than one embodiment. The following detailed description is demonstrative and not to be taken in a limiting sense. The scope of the present subject matter is defined by the appended claims, along with the full scope of legal equivalents to which such claims are entitled.

(5) The present subject matter relates generally to hearing assistance devices, including, but not limited to hearing aids, and in particular to an acoustic feedback event monitoring system for hearing assistance devices.

(6) FIG. 1 is a block diagram of a system 11 showing a pair of hearing assistance devices and programming equipment, according to one embodiment of the present subject matter. FIG. 1 shows a host computer 10 in communication with the hearing assistance devices 20. In one application, the hearing assistance devices 20 are hearing aids. Other hearing assistance devices and types of hearing aids are possible without departing from the scope of the present subject matter. In various embodiments a programmer 30 is used to communicate with the hearing assistance devices 20; however, it is understood that the programmer functions may be embodied in the host computer 10 and/or in the hearing assistance devices 20 (e.g., hearing aids), in various embodiments. Programmer 30 thus functions to at least facilitate communications between the host computer 10 and the hearing assistance devices 20 (e.g., hearing aids), and may contain additional functionality and programming in various embodiments.

(7) The present subject matter provides a means for tracking acoustic feedback events over an extended period of time. The tracking algorithm executes on each hearing aid to be monitored. In various embodiments, the tracking algorithm is performed by the digital signal processor to save acoustic feedback events for analysis. In various embodiments, it is possible that the tracking algorithm can operate at least in part on another device, including, but not limited to, the host computer 10, the programmer 30, another hearing aid 20, or on combinations of the foregoing. It is possible that the tracking algorithm can be executed on another device provided it accesses or obtains information about the feedback event experienced and/or operation of the feedback canceller as it operates on the hearing assistance device.

(8) A good feedback detector in a multiband device can detect accurately the occurrence of feedback in a particular band. A hearing aid that has stored these feedback events is a good source of information for audiologists during follow up visits from hearing aid users. It is understood that such follow ups need not be in person and that using remote access technology, the feedback event data can be reviewed and processed remotely. Device parameters can be adjusted remotely as well. Upon reviewing the feedback event information, the audiologist can set the gain in the hearing aid to suit audibility needs while making the most educated guess to avoid potential feedback problems. In various embodiments, this can be based on the wearer's hearing loss and any preliminary calculation of maximum stable gain of the hearing aid. The hearing aid wearer is asked to come back for a follow up visit at a later time, such as one or two weeks. Other times may be used without departing from the scope of the present subject matter. During this time a feedback tracking algorithm can be run on the hearing aid, or aids, to be monitored. In various embodiments, the tracking algorithm is continually run on the hearing aid. In various embodiments, the tracking algorithm is activated during the 1 to 2 week monitoring period, depending on the preference of the audiologist. In various embodiments, the tracking algorithm is activated upon certain programmable events, such as an acoustic environment change, occurrence of multiple acoustic feedback events, or other programmable events. In various embodiments, there are means in the fitting software to disable or reset the feedback tracking algorithm.

(9) In some embodiments, the feedback tracking algorithm constantly monitors information including, but not limited to, the total number of occurrences of feedback, severity of the feedback, and/or a number of feedback occurrences per unit time until the next follow up. If needed to avoid false alarms, the feedback tracking algorithm can be disabled for a few seconds after power up so that feedback due to insertion of hearing aid into ear is not taken into consideration. The data is collected over an interval of time until the follow up session.

(10) When the hearing aid user comes back to the audiologist office (or in the case of a remote visit, when the data is provided to the audiologist), the fitting software will display the information that would help the audiologist to fine tune the prescribed gain to minimize feedback problems. This allows gain to be reduced in bands of high feedback problems and increase gain (if needed) in bands with no feedback problems. Higher the probability of feedback in a band, more gain reduction can be prescribed in that band. This will ensure that the hearing aid performance is maximized to provide increased audibility while reducing risks of feedback in a convenient, straight forward manner.

(11) FIG. 2 demonstrates one type of output possible with the present system, according to one embodiment of the present subject matter. The data representing feedback occurrences at particular frequencies is statistically collected and provided as a histogram in this example. This type of output tells the audiologist the likelihood of feedback as a function of frequency for a relatively large sample space as opposed to a limited amount of information found during a patient visit. There are different ways that the fitting software can display the information on feedback. Thus, the present discussion is demonstrative and not intended to be an exhaustive or exclusive depiction of the system and its operation.

(12) In various embodiments, the feedback tracking algorithm is adapted to run on the digital signal processor of the hearing assistance device. In some embodiments, the data is statistically collected and stored in memory resident in the hearing aid. In various embodiments, the data is transferred to another storage device. Such devices include data storage accessible over the INTERNET or other network, a personal data storage, such as a personal digital assistant, iPod, cellular phone, or other digital storage device. Such transfer may be performed in a wired or wireless approach, or via a recharging step where the data is downloaded. The wireless approaches including, but are not limited to radio frequency transmission or magnetic coupling transmission. In some embodiments, the data is logged for later processing, such as set forth in U.S. patent application Ser. No. 11/276,795 filed Mar. 14, 2006, which is also published as U.S. Patent Application Publication No. 2007/0217620 on Sep. 20, 2007, titled: “SYSTEM FOR EVALUATING HEARING ASSISTANCE DEVICE SETTINGS USING DETECTED SOUND ENVIRONMENT,” which documents are all incorporated by reference in their entirety.

(13) FIG. 3 shows a functional block diagram of a hearing assistance system according to one embodiment of the present invention and a representation of an acoustic feedback path. The hearing assistance system 100 includes a microphone 110, which receives input sound 108 and provides a signal 112 to an analog-to-digital converter 120. A digital representation 122 of the signal 112 is provided to the summer 130. The summer 130, sound processor 140 and acoustic feedback estimator with adaptive bulk delay 160 are configured in a negative feedback configuration to provide a cancellation of the acoustic feedback 190. In FIG. 3, the input sound 108 is desired signal and conceptually separate from acoustic feedback 190. In providing the cancellation, signal 124 represents a form of error signal to assist in producing the acoustic feedback estimate 126 from acoustic feedback estimator with adaptive bulk delay 160. Sound processor 140 can be implemented to provide a number of signal processing tasks, at least some of which are found in hearing assistance systems. The resulting processed digital output 144 is received by driver 150 and used to drive receiver 180. In one embodiment, driver 150 is a digital to analog converter and amplifier combination to drive receiver 180. In one embodiment, driver 150 is a direct drive. In one embodiment, driver 150 is a pulse width modulator. In one embodiment, driver 150 is a pulse density modulator. Receiver 180 also can vary. In one embodiment, receiver 180 is a speaker. In on embodiment, receiver 180 is a transducer. Other drivers and receivers may be used without departing from the scope of the present subject matter.

(14) Digital output 144 is provided to the acoustic feedback estimator with adaptive bulk delay 160 to create the acoustic feedback estimate 126. Summer 130 subtracts acoustic feedback estimate 126 from digital representation 122 to create error signal 124.

(15) It is understood that various amplifier stages, filtering stages, and other signal processing stages are combinable with the present teachings without departing from the scope of the present subject matter.

(16) The sound cancellation is necessary since acoustic output from the receiver 180 invariably couples with the microphone 110 through a variety of possible signal paths. Some example acoustic feedback paths may include air paths between the receiver 180 and microphone 110, sound conduction paths via the enclosure of hearing assistance system 100, and sound conduction paths within the enclosure of hearing assistance system 100. Such coupling paths are collectively shown as acoustic feedback 190.

(17) If properly implemented the feedback system of FIG. 3 will produce an acoustic feedback estimate 126 which is closely modeled after acoustic feedback 190. Summer 130 will subtract the acoustic feedback estimate 126 from signal 122, thereby cancelling the effect of acoustic feedback 190 in signal 124. As the cancellation becomes ideal signal 124 approaches signal 122, which is a digital representation of input sound 108. It is noted that signal 124 is called an error signal only because it represents error to the closed loop system (that is when it departs from signal 122 that is error). When working properly, the information on error signal 124 is the desired sound information from input sound 108. Thus, the “error” nomenclature does not mean that the signal is purely error, but rather that its departure from the desired signal indicates error in the closed loop feedback system.

(18) The acoustic feedback cancellation is performed using the digital signal processor (DSP) in digital embodiments. The DSP can be used to perform the feedback event tracking function of the present subject matter. Multiband or subband implementations can involve acoustic feedback cancellation that is performed on a band-by-band basis. Therefore collection of acoustic feedback events per band is relatively straightforward.

(19) The present subject matter can be used for a variety of hearing assistance devices, including but not limited to, cochlear implant type hearing devices, hearing aids, such as behind-the-ear (BTE), in-the-ear (ITE), in-the-canal (ITC), or completely-in-the-canal (CIC) type hearing aids. It is understood that behind-the-ear type hearing aids may include devices that reside substantially behind the ear or over the ear. Such devices may include hearing aids with receivers associated with the electronics portion of the behind-the-ear device, or hearing aids of the type having receivers in the ear canal of the user. Such devices are also known as receiver-in-the-canal (RIC) or receiver-in-the-ear (RITE) hearing instruments. It is understood that other hearing assistance devices not expressly stated herein may fall within the scope of the present subject matter.

(20) This application is intended to cover adaptations or variations of the present subject matter. It is to be understood that the above description is intended to be illustrative, and not restrictive. The scope of the present subject matter should be determined with reference to the appended claims, along with the full scope of legal equivalents to which such claims are entitled.