The invention relates to a scheme for improving signal to noise ratio in a hearing aid (HA, also interchangeably termed ‘Hearing Instrument’ (HI) in the following). The invention further relates to a method of making a critical gain measurement. The invention relates specifically to a hearing aid system, to a method and use.
The invention may e.g. be useful for the customization of hearing aid parameters in cooperation with fitting software and/or for improving signal to noise ratio of a detected or measured signal.
Signal detection and measurements play an important role in the application of Hearing Instruments. Among other things, they allow us to collect information about the different acoustic environments in which a Hearing Instrument is worn, to assess Hearing Instrument performance, to collect the data needed for user-specific Hearing Instrument adjustments and to verify that the Hearing Instrument operates properly after a repair.
Sometimes the Hearing Instrument itself can carry out all, or part of a measurement procedure. Using the Hearing Instrument, rather than an external device, to perform a measurement often brings significant benefits, as in the case of measuring the so-called individual threshold of feedback (also called “Critical Gain”). The individual threshold of feedback is a measure of the gain limitations that should be taken into account in order to reduce unwanted whistling sounds, and this threshold is unique for every hearing instrument fitting.
In existing solutions for measuring the individual threshold of feedback, an acoustic test signal is picked up by the Hearing Instrument's microphone and fed directly into a level meter or similar device (cf. e.g. M. Bertges-Reber, Boundaries of real open fittings: Clinical experiences, Hearing Review, Vol. 13, No. 2, February 2006, page 44-47). Such procedures are inaccurate in the presence of background noise. It is almost impossible to eliminate background noise in all cases because these measurements must be carried out while the Hearing Instrument is being worn. There are two main reasons for the inaccuracy of such procedures, both of which are related to the ratio between the signal to be measured and the unwanted background noise (signal-to-noise ratio):
The present invention addresses both of the above potential causes of inaccuracy.
The general idea is to apply the “matched filter” concept (which is taken from telecommunications engineering) to audio processing in Hearing Instruments (HI), with particular focus on
A matched filter is capable of identifying a signal of known waveform from noise, even if the signal-to-noise ratio is very poor, cf e.g. W. L. Melvin, IEEE A&E Systems Magazine, Vol. 19, No. 1, January 2004, page 19-35 or G. L. Turin, IRE Transactions on Information Theory, Vol. 6, No. 3, June 1960, page 311-329. A comparison of analogue and digital implementations of matched filters is e.g. given in Hahm, M. D.; Friedman, E. G.; Titlebaum, E. L.: A Comparison of Analog and Digital Circuit Implementations of Low Power Matched Filters for Use in Portable Wireless Communication Terminals, IEEE Transactions on Circuits and Systems-II, Volume 44, Issue 6, June 1997, page 498-506
An idealized matched filter is a delay-free linear time-invariant system with one input and one output. When matched to a given waveform s(t), an ideal matched filter has an impulse response that equals s(−t). In consequence, the filter's output is produced by cross-correlating its input signal with a given waveform s(t). That means that for an input of s(t) the filter outputs the auto-correlation function of s(t). However the filter attenuates all signals with waveforms different from s(t). If s(t) is the filter's input signal then we can measure its level by feeding the output of the matched filter into a level meter. The filter attenuates background noise, improving measurement accuracy. An ideal matched filter is a non-causal system and cannot be implemented. However, one can implement a sufficient approximation of the idealized matched filter by introducing a time delay, and if s(t) is periodic, by limiting the length of the signal to correlate with. We can use windowing techniques to generate a fragment of s(t) short enough to be correlated with the input signal of the filter.
In the following, the term “matched filter” will denote a feasible implementation that approximates an idealized matched filter.
An object of the present invention is to improve the signal-to-noise ratio of a signal to be measured or detected in a hearing instrument compared to prior art solutions.
Objects of the invention are achieved by the invention described in the accompanying claims and as described in the following.
A Hearing Aid System:
An object of the invention is achieved by a hearing aid system comprising an input transducer for converting an input sound signal comprising an information signal part of a known waveform and a background noise part to an electrical analogue input signal, optionally an A/D converter for converting the electrical input signal to a digital input signal, and a matched filter receiving said analogue or digital input signal and optimized to improve the identification of the information signal part from the noisy input signal. The noisy input signal refers to the electrical input signal originating from an input sound signal comprising an information signal (signal of interest) mixed with background noise—possibly from natural (e.g. voices) or man-made (e.g. machines) sources and acoustic feedback from the acoustic output of the hearing aid itself.
In the present context, the term “waveform” is taken to mean the function of time describing the instantaneous amplitude of the signal over a limited time interval. The extension of the limited time interval is in practice dependent on the application in question, whether the system is in a measurement or a normal configuration. In an embodiment, a limited time interval is in the range from 0.2 milliseconds to 20 milliseconds, such as 1 millisecond.
An advantage of the invention is that it provides an alternative scheme for improving signal to noise ratio of a hearing aid.
In an embodiment, the hearing aid system comprises a signal path comprising a signal processing unit for processing the digital input signal—at least for adapting the digital input signal to a user's hearing profile—and for providing a processed output signal. The signal path (also termed the forward path) comprises the signal picked up by the input transducer to be processed by the signal processing unit and the components for processing the signal to be presented (e.g. via an output transducer) as an audio signal adapted to a user's needs.
In an embodiment, the hearing aid system comprises a D/A converter for converting a processed output signal to an analogue electrical output signal. A predefined sampling rate, e.g. between 5 and 20 kHz, can be used to create frames of digitized signal values of amplitude versus time comprising values at specific points in time, corresponding to n·(1/fs) where fs is the sampling frequency and n=1, 2, 3, . . . In an embodiment, the electrical input signal is split into a number of frequency bands (e.g. 4 or 8 or 16 or more) that are treated individually. In an embodiment, the frequency range considered is between 0 and 20 kHz, such as between 10 Hz and 10 kHz. In an embodiment, frames of digitized values of amplitude versus time are generated for each frequency band (and for a number of discrete frequencies in each band), thereby generating a digital time-frequency matrix.
In an embodiment, the hearing aid system comprises an output transducer, such as a receiver, for converting a digital or analogue electrical output signal to an output sound signal.
In an embodiment, the hearing aid system comprises a signal generator for generating a predefined source signal s(t). In an embodiment, the predefined source signal s(t) is periodic in time, e.g. comprising a sine and/or cosine signal (e.g. s(t)=sin(ω0·t), ω0=2·π·f, where f is the frequency).
In an embodiment, the hearing aid system is adapted to provide that the source signal can be added to the output of the signal processing unit, e.g. via a digital SUM-unit, possibly controlled by a switch for enabling or disabling the source signal from the signal generator to the SUM-unit.
In an embodiment, the hearing aid system is adapted to provide that the source signal can be connected directly to the D/A converter or output transducer, e.g. by disabling the input to the SUM-unit from the signal processing unit. In this mode, the hearing aid system can be used to generate a predefined output sound signal which can be used in measurements of specific parameters of the hearing aid in the current ‘natural setting’ consisting of the actual user's ear a specific acoustical environment.
In an embodiment, the signal generator is adapted to generate a signal with a predefined waveform s(t). In an embodiment, the matched filter is adapted to have an impulse response of a predefined shape s(−t+Δt) for a certain range of t, where Δt is a certain time delay. Thereby, the matched filter is adapted to provide the auto-correlation function of s(t) as an output. In an embodiment, Δt is of the order of (such as +/−50% of, such as substantially equal to) the group delay of the matched filter. This signal can be used in the further processing e.g. to extract information about the acoustic feedback path, to adjust parameters of the signal processing, including to improve feedback cancellation.
In an embodiment, the hearing aid system comprises an alternative path comprising the matched filter. The term ‘alternative path’ is taken to mean an electrical signal path that is parallel to the ‘normal forward path’ from input to output transducer in a listening device, at least over a part of its extension, the forward path typically comprising a signal processing unit for providing a frequency dependent gain. The ‘alternative path’ is a processing path for processing a signal that is branched off from the forward path (e.g. based on the digital input signal). In an embodiment, the digital input signal from the A/D converter is fed to the matched filter. In an embodiment, the electrical analogue input signal is split into frequency bands by a filter bank prior to A/D conversion. In an embodiment, the splitting of the signal into frequency bands is based on the digitized signals (i.e. after A/D-conversion). In both cases, a frequency split signal comprising individual frequency bands is fed to the matched filter (or filters) and processed individually.
In an embodiment, the alternative path further comprises a detection unit for evaluating the signal from the matched filter. In an embodiment, the output of the matched filter is fed to the detection unit. In an embodiment, the output of the detection unit is connectable to the signal processing unit for further evaluation.
In an embodiment, the signal processing unit is connectable to the signal generator to allow the signal generator to be controlled from the signal processing unit.
In an embodiment, the hearing aid system further comprises a programming interface to an external programming unit, e.g. a personal computer. The programming unit can be a handheld unit or a PC. This has the advantage that the hearing aid system can be in communication with fitting software running on the programming unit, whereby measurements made fully or partially by the hearing aid can be managed processed and displayed via the programming unit. Possible consequential changes to the signal processing to better adapt the input signal to the user's hearing profile (e.g. gain parameters, compression, etc.) can subsequently be uploaded to the hearing aid and immediately tried out.
In an embodiment, the output of the detection unit is connectable to the external programming unit via the programming interface. In an embodiment, the signal generator is connectable to the external programming unit via the programming interface. This has the advantage of allowing fitting software running on the programming unit to monitor and/or control and/or display the generated and detected signals in the hearing aid.
In an embodiment, the detection unit comprises an evaluation part for evaluating the detected signal from the matched filter to identify the current acoustic environment of the hearing aid system, possibly based on a comparison with values of the detected signal from the matched filter for pre-defined acoustic environments stored in a memory. Frames of digital values of the signal from the matched filter and/or from the detection unit corresponding to specific acoustical environments can be stored in a memory of the hearing aid system. The current values can be compared with stored values to detect the set of values that most closely resembles the current set, thereby indicating the most closely resembling acoustical environment (among the ones for which values are stored).
In an embodiment, the hearing aid system further comprises a control unit for—based on the output of the detection unit—modifying the adaptation of the input signal to a user's hearing profile performed by the signal processing unit. This can e.g. be done by determining the most closely resembling acoustical environment and selecting a corresponding set of parameters for the signal processing OR by modifying one or more of the parameters for the signal processing in accordance with predefined criteria.
In an embodiment, the control unit is adapted to switch the hearing aid system into a low power mode based on pre-defined criteria. Such predefined criteria may include a comparison of current output signals from the detector with stored ones for ‘active acoustic environments’. A ‘low power mode’ can e.g. be a mode where power consumption is significantly reduced compared to normal operation, e.g. reduced to less than 20% or less than 10% or less than 5% of the normal consumption. Thereby power can be saved when the hearing aid system is not in use. In an embodiment, power can automatically be switched totally off. A manual on/off option is further provided.
In a particular embodiment, the hearing aid system comprises a body-worn hearing instrument and a remote control for controlling functions of the hearing instrument, wherein the remote control comprises a signal generator adapted for generating an acoustic signal of known waveform in a frequency range inaudible to the human ear. This has the advantage of utilizing the already existing components of the hearing aid system for the implementation of the receiver-part of the remote control system. It further provides an alternative wireless transmission form to the otherwise typically used forms, e.g. radio frequency, infra red light, inductive.
In an embodiment, the hearing instrument is adapted to identify the known waveform of the remote control signal from the sound picked up by its input transducer and react to it by modifying its behaviour, e.g. by changing a parameter setting, e.g. volume.
In an embodiment, the hearing instrument comprises a matched filter in combination with a level detector and a 1-bit quantizer for identifying the remote control signal.
In an embodiment, the signal generator of the remote control is adapted to transmit signals of different waveforms representing different remote control commands.
In an embodiment, the hearing instrument comprises different matched filters to distinguish the different remote control commands, each filter being matched to the waveform assigned to a single remote control command.
Critical Gain Measurement Method:
In an aspect, the invention provides a method of making a Critical Gain measurement on a hearing aid, the hearing aid comprising an input transducer for converting an input sound signal to an electrical input signal and an output transducer for converting a processed electrical output signal to a processed sound output, the method comprising,
In a further aspect, a method of making a Critical Gain measurement on a hearing aid is provided, the hearing aid comprising an input transducer for converting an input sound signal to an electrical input signal and an output transducer for converting a processed electrical output signal to a processed sound output, the method comprising
In an embodiment, the predefined waveform s(t) is periodic in that s(t)=s(t+m·T0), where m is an integer and T0 is a time period. In an embodiment, the predefined waveform s(t) is a sine or cosine signal, e.g. s(t)=sin(ω0·t), ω0=2·π·f0, where f0 is the frequency. In that case, the time period T0 equals 2·π/ω0. In an embodiment, the sound with a predefined waveform s(t) is generated by a signal generator in the hearing aid.
In an embodiment, the hearing aid comprises a signal path comprising a signal processing unit for adapting the input signal to a user's hearing profile and an alternative path comprising the matched filter. It is intended that other features of a hearing aid as described above under the heading “A hearing aid system” and as described in the section “Mode(s) for carrying out the invention” can be combined with the present method.
In an embodiment, the method comprises communication with a programming unit, e.g. a personal computer, whereon fitting software runs and from which the gain measurement can be controlled. This has the advantage of allowing the fitting software to monitor and/or control and/or display the generated and detected signals in the hearing aid and to modify processing parameters of the hearing aid in consequence of the measurements.
In an embodiment, the method comprises providing that a signal from the matched filter is evaluated in a detector unit, such as a level detector.
In an embodiment, the method comprises providing that the output of the detector unit is evaluated in (e.g. used as an input to an evaluation block in) the signal processing unit with a view to the current acoustic environment. In an embodiment, the method comprises modifying the signal processing according to the result of the comparison.
In an embodiment, the method comprises that characteristics of relevant acoustic environments are stored, e.g. in the signal processing unit, for comparison with current values of the detector signal and wherein one or more signal processing parameters (of the signal processing unit for providng a frequency dependent gain) can be modified based on such comparison and predefined criteria. Thereby changes in the feedback path can be assessed and compensated during normal use of the hearing instrument.
In an embodiment, the method comprises providing to switch the hearing aid system into a low power mode based on pre-defined criteria, such as a comparison of current output signals from the detector unit with stored ones for active acoustic environments. Thereby power can be saved when the hearing aid system is not in use.
Further objects of the invention are achieved by the embodiments defined in the dependent claims and in the detailed description of the invention.
As used herein, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless expressly stated otherwise. It will be further understood that the terms “includes,” “comprises,” “including,” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being “connected” or “coupled” to another element, it can either be directly connected or coupled to the other element or intervening elements may be present. Furthermore, “connected” or “coupled” as used herein may include wirelessly connected or coupled. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items.
The invention will be explained more fully below in connection with a preferred embodiment and with reference to the drawings in which:
Schematic diagrams are used for clarity, showing only those details that are essential to the understanding of the invention. Throughout, the same reference numerals are used for identical or corresponding parts.
Further scope of applicability of the present invention will become apparent from the detailed description given hereinafter. However, it should be understood that the detailed description and specific examples, while indicating preferred embodiments of the invention, are given by way of illustration only, since various changes and modifications within the spirit and scope of the invention will become apparent to those skilled in the art from this detailed description.
The signal from the signal generator can in principle be of any known waveform, e.g. describing a periodic function in time (s(t)=s(t+m·T0), where m is an integer and T0 a time period), such as a Sine.
Further, an alternative path (to the signal path) is shown taking its input from the A/D-converter (in the form of the digital input signal 12) and comprising a matched filter (MF), matched to the waveform generated by the signal generator (SG), where the output 18 of the matched filter is fed to a detector and post-processing unit (D+PP), whose output 19 (when switch S3 is closed) is connected to a PC interface (PC-I) connectable to a PC comprising Fitting Software and to the signal processing unit (when switch S5 is closed). In
The switches S1-S6 are symbolic components for electrically (e.g. digitally) connecting (enabling) or disconnecting (disabling) the two sides of the switch. The switch functions can by physically implemented in any appropriate way. Some or all of the individual switches can be controlled by the signal processing unit or via the fitting software (or implemented in software).
The detector part of the detector and post-processing unit (D+PP) can e.g. rectify or square its input signal and then feed it into a short-time integrator that applies one of the known numeric integration schemes in order to obtain a level estimate. The post-processing unit retrieves the actually desired information from the resulting detector output. For example, the post-processing unit could be a comparator whose output is “signal detected”, if the detector's output exceeds a certain threshold or it could be a decision unit deciding whether the signal level is sufficient for a reliable measurement.
The detector (possibly in combination with the signal generator) can be used for measuring the level of or detecting the presence of a signal of known waveform, e.g. while the Hearing Instrument is worn. Including the matched filter in the alternative path improves the signal to noise ratio between the signal of known waveform and Background noise from the environment. The improved measurement or detection can be used for different applications or modes of operation, some of which are briefly exemplified in the following:
1. Critical Gain Measurement Mode
In this mode, the HI does not operate in a normal way (see also the example below with reference to
2. “Automatic” Mode
In this mode the HI is worn by the user, and operates normally—adapting incoming sound according to the needs of the user. The HI is not necessarily connected to the fitting software. In parallel, the improved measurement (involving the matched filter and the detector and post-processing unit) identifies a special pattern from the background noise by attenuating noise influences in the matched filter and then routing the matched filter's output signal into a level meter that would for example square this signal and do short time integration on the result. The information extracted in this way can be used, for example, to adjust the signal processing (cf.
3. “Live Demonstration” Mode
In this mode, the HI is located behind or in the ear of a user (i.e. in normal operation) and is connected to the fitting software on the PC via the PC Interface (cf. e.g.
This signal source is here shown to be located inside the Hearing Instrument (in the form of the Sine Generator and the receiver). Alternatively, the signal generator could be located outside of the hearing aid (e.g. in the form of a computer loudspeaker).
The purpose of the Critical Gain Measurement is to determine the maximum gain that can be applied in fitting, before the Hearing Instrument starts to whistle because of feedback. Once this maximum gain (here called “Critical Gain”) has been measured, it can be used for preventing application of gain so high that it would cause feedback. This can be done by
The above ways of keeping the gain of the Hearing Instrument below Critical Gain can be extended by the concept of a “safety margin”, in which the gain of the Hearing Instrument is kept below Critical Gain and its difference to Critical Gain is kept above a certain limit.
A classic Critical Gain Measurement works as follows:
The fitting software—here illustrated as being located on an external PC communicating with the hearing aid via a PC-interface—controls the “Critical Gain Measurement”, which forms part of the fitting process.
In an aspect of the invention the following change is introduced:
A filter is designed as a “matched filter” for receiving the generated tone. This matched filter is used to filter the Hearing Instrument's input signal.
A formula for computing the matched filters impulse response is provided below:
In a continuous-time view, if the signal generated by the signal source is “s(t)”, then the idealized matched filters impulse response is equal to “s(−t)”.
In the given example, the signal generated by the signal source is a sine wave of given frequency and the signal processing is digital, thus operates in discrete time. Here, the matched filter could be implemented digitally as Finite Impulse Response (FIR) filter with a certain number N of coefficients with index n from 0 to (N−1). These coefficients—referred to as Coefficient(n)—could be set according to:
Coefficient(n)=A*sin(2*π*f*n/fs+φ)*window(n), where
Examples of windowing functions with appropriate frequency response characteristics are discussed in e.g. J. G. Proakis, D. G. Manolakis, Digital Signal Processing, Prentice Hall, New Jersey, 3rd edition, 1996, ISBN 0-13-373762-4, chapter 8.2.2 Design of Linear-Phase FIR filters Using Windows, pp. 623-630.
The physical implementation of a hearing aid according to the present invention as, for example, embodied in the Hearing Instrument of
The invention is defined by the features of the independent claim(s). Preferred embodiments are defined in the dependent claims. Any reference numerals in the claims are intended to be non-limiting for their scope.
Some preferred embodiments have been shown in the foregoing, but it should be stressed that the invention is not limited to these, and may be embodied in other ways within the subject-matter defined in the following claims. For example, although the embodiments are shown to be mainly based on digital components, the principles of using a matched filter in an alternative path to the signal path for evaluating an input signal of a hearing aid system may be implemented using at least some analogue components, including an analogue matched filter (cf. e.g. Hahm et al.). Likewise, the principles may be used in other listening devices comprising a processing of an input sound (e.g. from the environment), e.g. a headset or an active earplug.
References
Number | Date | Country | Kind |
---|---|---|---|
07122823 | Dec 2007 | EP | regional |
Number | Name | Date | Kind |
---|---|---|---|
3662108 | Flanagan | May 1972 | A |
4622440 | Slavin | Nov 1986 | A |
4790019 | Hueber | Dec 1988 | A |
4845755 | Busch et al. | Jul 1989 | A |
4878188 | Ziegler, Jr. | Oct 1989 | A |
4918736 | Bordewijk | Apr 1990 | A |
5604812 | Meyer | Feb 1997 | A |
5812682 | Ross et al. | Sep 1998 | A |
5825894 | Shennib | Oct 1998 | A |
5910997 | Ishige et al. | Jun 1999 | A |
5944672 | Kim et al. | Aug 1999 | A |
6134329 | Gao et al. | Oct 2000 | A |
6272229 | Baekgaard | Aug 2001 | B1 |
6498858 | Kates | Dec 2002 | B2 |
6611600 | Leber et al. | Aug 2003 | B1 |
6785394 | Olsen et al. | Aug 2004 | B1 |
7010132 | Luo et al. | Mar 2006 | B2 |
7058182 | Kates | Jun 2006 | B2 |
7231055 | Uvacek et al. | Jun 2007 | B2 |
7463745 | Miller, III | Dec 2008 | B2 |
7474755 | Niederdrank | Jan 2009 | B2 |
7474758 | Beck et al. | Jan 2009 | B2 |
7496206 | Husung | Feb 2009 | B2 |
7716046 | Nongpiur et al. | May 2010 | B2 |
7774201 | Yamada | Aug 2010 | B2 |
7933423 | Baekgaard Jensen et al. | Apr 2011 | B2 |
8096937 | Miller, III | Jan 2012 | B2 |
20020018572 | Rhoads | Feb 2002 | A1 |
20020159604 | Eastty et al. | Oct 2002 | A1 |
20040057591 | Beck et al. | Mar 2004 | A1 |
20040202333 | Csermak et al. | Oct 2004 | A1 |
20050041824 | Arndt et al. | Feb 2005 | A1 |
20050069163 | O'Brien | Mar 2005 | A1 |
20050117764 | Arndt et al. | Jun 2005 | A1 |
20050207602 | van Oerle | Sep 2005 | A1 |
20060050911 | Von Buol | Mar 2006 | A1 |
20060245610 | Chalupper | Nov 2006 | A1 |
20080123882 | Bauml et al. | May 2008 | A1 |
20100303250 | Goldberg et al. | Dec 2010 | A1 |
Number | Date | Country |
---|---|---|
1 322 138 | Jun 2003 | EP |
1 926 343 | May 2008 | EP |
WO-9912388 | Mar 1999 | WO |
WO-2007028250 | Mar 2007 | WO |
Entry |
---|
A. M. Engebretson et al., “Two DSP-Based Vibrotactile Hearing Devices”, Implants, Tactile Aides and Auditory Aids, Nov. 9, 1989, pp. 1069-1070, Engineering in Medicine & Biology Society. |
M. Bertges-Reber, “Boundaries of real open fittings: Clinical experiences,” Tech Topic, Feb. 1, 2006, pp. 44-47, vol. 13, No. 2, The Hearing Review, Allied Healthcare Group, US. |
W. L. Melvin, “A STAP Overview,” Part 2: Tutorials-Melvin, Jan. 2004, pp. 19-35, vol. .19, No. 1, IEEE A&E Systems Magazine. |
G. L. Turin, “An Introduction to Matched Filters,” IRE Transactions on Information Theory, Jun. 1960, pp. 311-329, vol. 6, No. 3, PGIT, Hughes Research Laboratories, Malibu, CA. |
M.D. Hahm et al., “A Comparison of Analog and Digital Circuit Implementations of Low Power Matched Filters for Use in Portable Wireless Communication Terminals,” IEEE Transactions on Circuits and Systems-II: Analog and Digital Signal Processing, Jun. 1997, pp. 498-506, vol. 44, No. 6, IEEE, Inc. |
J.G. Proakis et al., “Digital Signal Processing: Principles, Algorithms, and Applications,” 1996, pp. 623-630, 3rd Edition, Prentice Hall, Upper Saddle River, New Jersey. |
Number | Date | Country | |
---|---|---|---|
20090147977 A1 | Jun 2009 | US |