1. Field of the Invention
The present invention relates generally to configuring a stimulating medical device to a recipient and, more particularly, to the automatic measurement of neural response concurrent with psychophysics measurement of stimulating device recipients.
2. Related Art
Determining the response of an auditory nerve to stimulation has been addressed with limited success in conventional systems. Typically, following the surgical implantation of a prosthetic hearing implant, the implant is customized to conform to the specific recipient's needs. This process of configuring an implanted hearing prosthesis for a particular recipient is commonly referred to as “fitting” the implant to the recipient. This fitting process involves the collection and determination of recipient-specific parameters such as threshold levels (T levels) and comfort levels (C levels) for each stimulation channel using psychophysics. This collection of patient-specific parameters, including the T and C levels for plurality of stimulation channels, is commonly referred to as a MAP.
Essentially, a clinician performs psychophysics measurements by applying stimulation pulses for each channel and subjectively interpreting a behavioral indication from the implant recipient as to the threshold and comfort levels of the perceived sound. For implants with a large number of stimulation channels this process is quite time consuming and rather subjective as it relies heavily on the recipient's subjective impression of the stimulation rather than an objective measurement. Also, the psychophysics approach is further limited in the cases of children, infants and prelingually or congenitally deaf recipients who are unable to provide an accurate impression of the resultant hearing sensation. Hence the fitting of the implant may be sub-optimal and may directly hamper the speech and hearing development of recipients.
In accordance with one aspect of the invention, a method is disclosed. The method comprises receiving a user-specified current level, and applying to a stimulation channel of the cochlear implant a stimulus signal comprising a substantially imperceptible component based on the user-specified current level and a perceivable component having the user-specified current level.
In accordance with another aspect of the invention, a fitting system is disclosed. The fitting system is configured to receive a user-specified current level, and to provide an instruction to a cochlear implant to cause the cochlear implant to apply to a stimulation channel of a cochlear implant a first stimulus signal comprising a substantially imperceptible component based on the user-specified current level, and a perceivable component having the user-specified current level.
In accordance with yet another aspect of the invention, a fitting system is disclosed. The fitting system is configured to receive a user-specified current level, and to provide an instruction to a cochlear implant to cause the cochlear implant to apply to a stimulation channel of a cochlear implant a stimulus signal comprising a substantially imperceptible component based on the user-specified current level, and a perceivable component having the user-specified current level. Each of the substantially imperceptible component and the perceivable component are configured for determination of a common dynamic range parameter for the cochlear implant.
Embodiments of the present invention are described herein in conjunction with the accompanying drawings, in which:
Embodiments of the present invention are generally directed to the automatic measurement of evoked compound action potential (ECAP) thresholds of the auditory nerve; that is, a neural response, concurrently with the performance of psychophysics measurements of a prosthetic hearing implant recipient. As noted, psychophysics measurements are performed to establish patient-specific parameters (such as threshold and comfort levels) for each of a plurality of stimulation channels.
During the fitting process, a stimulus signal comprising two components is applied to each stimulation channel. One signal component is configured to elicit an ECAP neural response, referred to herein as a neural response signal component. The other component is configured to elicit a response to a psychophysics stimulation, referred to herein as a psychophysics signal component. There is no particular relationship between the neural response and psychophysics signal components. For example, the neural response signal component may precede or follow the psychophysics signal component, the time duration of the neural response signal component may be greater than or less than that of the psychophysics signal component, and so on.
In certain embodiments, indications of the psychophysics measurement and the concurrently obtained neural response measurements are provided to the user. For the psychophysics measurement, this includes the selected characteristics of the psychophysics signal component since the results of the applied stimulation is a recipient behavioral or auditory response.
This enables the neural response measurements to be used as an objective basis to judge the subjective determinations of the concurrently-determined psychophysics measurements. This may increase the clinician's confidence in executing the fitting process, facilitating the efficient creation of the recipient MAP. Such advantages are attained with minimal drawbacks. The neural response stimulus is neither perceivable by the recipient nor does it interfere with the psychophysics measurements. Furthermore, the neural response measurements are performed automatically and without clinician involvement. Thus, the concurrence performance of neural response measurements occurs in the background during the performance of psychophysics measurements.
Exemplary embodiments of the present invention are further described below in conjunction with the implanted component of a cochlear implant, such as a Contour™ Freedom™, Nucleus™ or Cochlear™ implant sold by Cochlear Limited, Australia. Such devices are described in U.S. Pat. Nos. 4,532,930, 6,537,200, 6,565,503, 6,575,894, and 6,697,674. It should be understood to those of ordinary skill in the art that embodiments of the present invention may be used in other prosthetic hearing implants and, more generally, in other stimulating medical devices such as neurostimulators, cardiac pacemakers, defibrillators, etc.
Bones 108, 109 and 111 of middle ear 105 serve to filter and amplify acoustic wave 103, causing oval window 112 to articulate, or vibrate. Such vibration sets up waves of fluid motion within cochlea 116. Such fluid motion, in turn, activates tiny hair cells (not shown) that line the inside of cochlea 115. Activation of the hair cells causes appropriate nerve impulses to be transferred through the spiral ganglion cells and auditory nerve 114 to the brain (not shown), where they are perceived as sound. In deaf persons, there is an absence or destruction of the hair cells. Prosthetic hearing implant 100 is utilized to directly stimulate the ganglion cells to provide a hearing sensation to the recipient.
External transmitter unit 128 comprises an external coil 130 and, preferably, a magnet (not shown) secured directly or indirectly to external coil 130. Internal components 144 comprise an internal receiver unit 132 having an internal coil (not shown) that receives and transmits power and coded signals from external assembly 142 to a stimulator unit 120 to apply the coded signal along an electrode assembly 118. Electrode assembly 118 enters cochlea 116 at cochleostomy region 122 and has one or more electrodes 142 positioned to substantially be aligned with portions of tonotopically-mapped cochlea 116. Signals generated by stimulator unit 120 are applied by electrodes 142 to cochlea 116, thereby stimulating auditory nerve 114. It should be appreciated that although in the embodiment shown in
The effectiveness of a prosthetic hearing implant is dependent not only on the device itself but also on the way in which the device is configured or “fit” for the recipient. Fitting of a device, also referred to as “programming” or “mapping,” creates a set of instructions that defines the specific characteristics used to stimulate electrodes 142 of the implanted array 146. This set of instructions is referred to as the recipient's “program” or “MAP.”
As shown in
In the embodiment illustrated in
Once cochlear implant 100 is calibrated, specific mapping data 182 is determined The particular details of the implemented fitting process are specific to the recipient, cochlear implant manufacturer, cochlear implant device, etc. As a result, only selected exemplary mapping data are described herein for clarity.
Today, most cochlear implants require at least two values to be set for each stimulating electrode 142. These values are referred to as the Threshold level (commonly referred to as the “THR” or “T-level;” “threshold level” herein) and the Maximum Comfortable Loudness level (commonly referred to as the Most Comfortable Loudness level, “MCL,” “M-level,” or “C;” simply “comfort level” herein). Threshold levels are comparable to acoustic threshold levels; comfort levels indicate the level at which a sound is loud but comfortable. It should be appreciated that although the terminology and abbreviations are device-specific, the general purpose of threshold and comfort levels is common among all cochlear implants: to determine a recipient's electrical dynamic range.
In adult cochlear implant patients, threshold and comfort levels are typically measured using verbal feedback from recipient 162. For children, who often lack the listening experience, language, or conceptual development to perform specific fitting tasks, audiologists and clinicians must often rely on clinical intuition and trial and error to appropriately estimate comfort levels for young recipients. The above and other feedback is generally referred to by reference numeral 184 in
In carrying out embodiments of the present invention, fitting system 166 sends an acoustic stimulus to instruct speech processor 126 to provide electrodes 142 with a stimulus comprising two components: a stimulus component for generating an ECAP neural response, and a stimulus component for generating a psychophysics response. The electrical activity of the nerves in cochlea 116 which are evoked in response to the stimulation, i.e. the neural response, is then detected, encoded and transmitted back to fitting system 166. In one embodiment, fitting system 166 processes the neural response data using commonly available neural response measurement software.
Embodiments of the present invention use machine learning to create the decision making algorithm that analyzes the traces of the transmitted data and makes a decision on whether or not the trace includes a neural response, and the strength of the response. In some embodiments, the concurrently-measured neural response; that is, the Evoked Compound Action Potential (ECAP), may be indicated, visually and/or audibly, concurrently and in combination with the psychophysics mapping.
The psychophysics burst will produce a stimulation that will allow the recipient to react and in turn allow the clinician to map the T and C levels using fitting system 166. Psychophysics is an approach to understanding perception that relates the characteristics of physical stimuli to attributes of the sensory experience such stimuli produce. In the exemplary application of a cochlear implant, the term “psychophysics” refers to the study of the perceptions elicited in recipients by electrical stimulation of the auditory nerve. Typically, a clinician observes a recipient that receives an electrical stimulation and judges the type of response. For example, a stimulus pulse of 100 microamps may be inaudible to the recipient, 200 microamps may be perceived by the recipient as a soft sound, and 500 microamps may be perceived by the recipient as a sound that is too loud. This is such a distinct sensation that it is possible to convey a melody to a recipient by varying the stimuli amplitude and thus observe a change in behavior of the recipient.
A neural response telemetry device is a computerized system that allows for measurement of the Evoked Compound Action Potential (ECAP) response of the auditory nerve evoked by electrical stimulation applied by electrodes implanted in the cochlea. As such, neural response telemetry allows a clinician to set a MAP that does not rely on subjective observations. Such a system is in clinical use by practitioners for adjustment of prosthetic hearing implants. A particular advantage of neural response telemetry is that it does not require the recipient to pay attention or remain immobile, which notably allows for use with infants. Types of neural response telemetry are described in U.S. Pat. Nos. 6,915,166 and 5,758,651. One exemplary computerized system that uses neural response telemetry is the Nucleus® NRT™ 3.0, commercially available from Cochlear Limited, Australia.
However, based on observations, the inventors have concluded that traditional neural response telemetry may be subject to a number of drawbacks. First, the clinician must obtain a neural response curve so as to be able to measure the amplitude of the neural response. To obtain such a response curve, a certain number of parameters related to measurement, in particular the response acquisition latency, the amplification gain, the stimulation voltage, etc., must be adjusted and optimized. These initial operations are time consuming, subjective, and the results strongly depend on the skill of the clinician. Second, when the response curves that allow for plotting of the growth function for an electrode have been obtained, the clinician must determine which of these curves can be used and which cannot. In particular, some response curves have a poor signal-to-noise ratio and are not easily identifiable. This selection is also subjective, and the results directly influence the subsequent adjustment of the implant. Third, clinicians must measure the voltages of the peaks on each response curve, to determine the response amplitude. This measurement, which is also subjective, directly influences the adjustment of the implant, and is also a lengthy and bothersome procedure. More importantly, the subjective determinations necessary for neural response telemetry may decrease its objective reliability.
Some clinicians using neural response measurements alone may experience the difficulties as discussed above, and thus may be reluctant to use systems such as Nucleus NRT. Embodiments of the present invention may eliminate or reduce this reluctance by using a neural response measurement in the background; that is, automatically, when the MAP is created. The background ECAP or neural response measurement does not impact the speed or accuracy using the standard psychophysics mapping procedure. Advantageously, clinicians may develop judgment and become accustomed to neural response measurements by using automatic and concurrent neural response measurements along with the psychophysics. Still further, automatic and concurrent neural response measurements may provide additional objective information to expedite the fitting process. Thus, with children recipients, for example, when the threshold-NRT is very close to the behavioral threshold, a clinician using embodiments of the present invention would not over-stimulate the recipient leading to sub-optimal performance. Another advantage of embodiments of the present invention is that automated fitting may be achieved and be accepted by clinicians.
To provide for such measurements, an exemplary system of the present invention may comprise a prosthetic hearing implant with a neural response measurement system and recordal capabilities, software to drive the appropriate stimulus and an acoustic stimulator as shown in
An exemplary embodiment of a two-component stimulus signal generated in accordance with the teachings of the present invention is shown in
As shown in
The neural response stimulation rate may be greater or less than the psychophysics stimulation rate. In one embodiment, on a single stimulation channel neural response stimulation rate is measured approximately 80 Hz, and the psychophysics response is measured at a higher rate, referred to as the map rate. In one embodiment, the map rate is approximately 5000 Hz.
Psychophysics stimulus signal component 304 may be at the current level CL1 and each pulse of the neural response stimulation signal component 302 may have an amplitude of greater than CL1. It should be appreciated, however, that the relative and absolute amplitude of the pulses of neural response stimulation signal component 302 and psychophysics stimulation signal component 304 may be different in other embodiments of the present invention.
Neural response stimulation signal component 302 has three buffers, 306A, 306B and 306C. Each buffer 306 may be repeated n times. For example using forward masking paradigm, 5 neural response measurements may be suitable for each buffer and would be repeated 5 times for a total of 15 frames before psychophysics burst 304.
Because the psychophysics burst rate is much higher than the rate of neural response signal 302 (on the average of 900 to 122 Hz), neural response measurement signal 302 will hardly influence the loudness percept, since psychophysics burst 304 will sound much louder. The different in loudness percept may ensure that both T and C level estimates will be based on the psychophysics burst and not on the neural response recording.
Additional variations the parameters of two-component stimulus signal 300 are readily envisaged by the embodiments of the present invention. The clinician may set the parameters based on experience or using the default parameter set by the software. In particular, psychophysics burst 304 may be alternated depending on the current level, channel of stimulation and recipient.
Generally, the systems, methods, techniques and approaches of the present invention apply electrical stimulation to a target neural region at incrementally greater current levels beginning with an initial current level that is below to a typical threshold neural response level; record a neural response measurement of an auditory signal which is generated by the target neural region in response to the stimulation; and determine whether the neural response measurement contains a neural response based on a plurality of features extracted from the auditory signal. In one embodiment, the expert system may be built using the induction of decision trees as disclosed in PCT Application No. PCT/US05/21204, entitled “Automatic Determination of the Threshold of an Evoked Neural Response”. In one implementation of such an embodiment, the induction of decision trees machine learning algorithm is the algorithm C5.0 described in Quinlan, J., 1993. “C4.5: Programs for Machine Learning.” Morgan Kaufmann, San Mateo; and Quinlan, J., 2004. “See5: An Informal Tutorial.” Rulequest Research.
In
In
In
Clinician may for instance, depending on recipient's response to the psychological burst, choose the current level shown by mapping scale 204B in
In the embodiments illustrated in
It should also be appreciated that audio indications of neural response strength may be implemented in addition to or as an alternative to the visual display noted above. Such an audio indication may include the alteration of audio characteristics to reflect neural response strength including, but not limited to, volume, quantity, tones, frequency, etc.
Although the present invention has been fully described in conjunction with several embodiments thereof with reference to the accompanying drawings, it is to be understood that various changes and modifications may be apparent to those skilled in the art. Such changes and modifications are to be understood as included within the scope of the present invention as defined by the appended claims, unless they depart therefrom.
This application is a Continuation of U.S. patent application Ser. No. 11/555,219, now U.S. Pat. No. 7,801,617, entitled “Automatic Measurement of Neural Response Concurrent with Psychophysics Measurement of Stimulating Device Recipient,” filed on Oct. 31, 2006, which claims priority from U.S. Provisional Patent Application 60/731,253, filed on Oct. 31, 2005, each of which is hereby incorporated by reference herein in its entirety.
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