Patent Application
20130066424
The present invention relates to implantable stimulation systems, and more specifically to a vestibular implant system which acts as a balance organ prosthesis.
A normal ear directs sounds as shown in
In addition to hearing, the inner ear also includes a balance sensing system which involves the vestibular labyrinth, its three interconnected and mutually orthogonal semi-circular canals: the superior canal 106, posterior canal 107, and horizontal canal 108 (as well as the otolith organs 116 in the utricle and saccule of the inner ear. The canals and otoliths of the vestibular labyrinth contain hair cells 118 in a viscous endolymph 117 to sense head orientation and head movements, thereby activating nerve fibers 119 that send an electrical balance signal via the vestibular nerve 105 to the brain.
In some people, the vestibular system is damaged or impaired. Vestibular dysfunction can cause balance problems such as unsteadiness, vertigo and unsteady vision. This can be a significant handicap in everyday life. To treat such problems, electrical stimulation of the vestibular system can help to restore the balancing function, and vestibular implants are currently under development to provide such an artificial balance signal.
To maximize the benefit of the system to the patient, the implant system needs to be adjusted for each specific patient in a clinical fitting process. The fit process chooses between various possible signal processing algorithms and modifies some of the signal processing of any such algorithm. Such fittings may be done manually, automatically, or semi-automatically. Information on patient performance whilst using the implant system is needed to compare different processing algorithms and/or processing parameters with regards to any differences in the performance of the system or the experience of the patient. This information can be obtained subjectively by feedback from the patient and/or by different objective measurement methods. Presently most objective fitting measurements are performed as acute clinical tests, which are accounted for at the time of the clinical fitting session. The patient's subjective feedback can be related to acute tests performed in a clinical setting and can also include subjective feedback from the patient's recollection of past events. But a patient, especially children, may not detect or remember many potentially relevant events or be able to describe these usefully to a fitting clinician.
Embodiments of the present invention are directed to a vestibular implant fitting system and method for fitting a vestibular implant to the individual needs of an implanted patient. A body response characteristic of the patient to a vestibular implant stimulus signal is determined during a response measurement period. Then an operating characteristic of the vestibular implant system is set based on the body response characteristic.
In some embodiments, there may be one or more of a patient gaze sensor that measures eye movement, a patient posture sensor that measures body posture of the patient, a patient cardiovascular sensor that measures the cardiovascular system of the patent, and/or a patient gait sensor that measures body sway of the patient during the response measurement period. A patient gaze sensor may electrically measure evoked potentials associated with movement of the eye or it may optically measure eye movement. For example, the body response characteristic may include an eye movement characteristic such as nystagmus.
Some embodiments may also include an event processor for monitoring extra-clinical operation of the vestibular implant and collecting related information for subsequent setting of an operating characteristic of the vestibular implant. There also may be an event memory controlled by the event processor for storing the related information. The event processor continuously collects related information during extra-clinical operation of the vestibular implant or during an event data period associated with a data event. Related information may be collected when sensing a low power condition or other malfunction in the vestibular implant, or an unusual acceleration condition or an abnormal patient response condition. The related information may include sensor signal data related to a sensor of the vestibular implant, stimulation signal data related to a stimulation signal of the vestibular implant, event data for automatically detected events, and/or event data for manually entered events.
Embodiments of the present invention are directed to a vestibular implant fitting system and method for automatically or semi-automatically fitting a vestibular implant to the implanted patient that adapts the stimulation signal pattern based on physiological signal.
More specifically,
For example a patient gaze sensor 305 may be implemented as an electrode array which records evoked potentials at the eye muscles, at their innervating nerves, or at the facial tissue above and/or below the eye. Or a patient gaze sensor 305 may be implemented as an optical sensor to optically measure eye movement. For example, an optical sensor may be implemented in a pair of eyeglasses as an integrated camera with an inductive link to the fitting parameter adaptation/optimization block 308 or to the signal processing block 301. For example, one eye movement that may usefully be measured includes the nystagmus, which is an eye movement that is characterized by alternating smooth pursuit of the eye in one direction and saccadic catch-up movement in the other direction to keep the image on the retina steady during head movements. If the nystagmus deviates from the healthy or normal condition the vision becomes blurry (oscillopsia).
Other system sensors such as linear acceleration sensor 306, angular acceleration sensor 307, patient posture sensor 303, patient cardiovascular sensor 310 and/or patient gait sensor 304 may be based on gyroscopes and/or acceleration sensors and can be used to detect and eventually record the stability of the patient during movements or when resting. The fitting parameter adaptation/optimization block 308 could detect from the sensor signals, for example, the amount of swaying in the gait of the patient when walking. The fitting parameter adaptation/optimization block 308 can rate and compare the sensor information on the patient performance with patient performance data from different specific stimulation patterns. Thus, the fitting parameter adaptation/optimization block 308 may change the stimulation pattern generated by the signal processing block 301 to the vestibular stimulation block 302 and compare the patient's performance with the new stimulation pattern to the previous stimulation patterns to automatically find the best fitting algorithm for the patient.
Embodiments of the present invention also provide for the extra-clinical collection of subjective and objective information beyond that of clinical fitting sessions. This provides new sources of such subjective and objective information compared to existing fitting processes that rely solely on acute clinical diagnostic measurements. Long-term recording and event analysis has been used in the past in other medical applications both for diagnostic purposes and for treatment efficacy controls, especially by means of holter devices. These medical applications include ambulant long-term recording of ECG/CRM, EEG and other physiological parameters. However, none of the known medical applications relates to the very different application of active inner ear implants or to making use of the information for the purposes of optimizing patient benefit by adjusting device signal processing settings.
System performance signal data from the stimulation pattern processing 401 and fitting related event data from the online event detection processing 402 are recorded in implant memory 404. Examples of the data that can be recorded in the implant memory 404 include without limitation:
Then during one or more clinical fitting sessions, the fitting data in the implant memory 404 is further processed in offline event detection processing 405. Event analysis and display 406 allows the clinician to work with the online and offline fitting data to customize the fit of the system operating parameters for the specific patient, i.e., to customize the fit of the stimulation signal processing strategy and parameters of the stimulation pattern processing 401. Event analysis and display 406 can be used to assess patient performance with the implant device in use and to compare assessed performances. Such performance comparisons for an individual patient may serve among others:
An online event processor 506 monitors extra-clinical operation of the implant system and collects fitting relevant information for subsequent setting of one or more system operating characteristics. For example, the online event processor 506 can detect events of possible relevance for clinical fitting purposes based on the measured sensor signals from one or more of the implant sensors 503 and/or the signals associated with the stimulation processor 504. The data accumulated during system operation and monitoring of a fitting event can be stored in an online event memory 505 controlled by the online event processor 506.
The implant system also includes an external unit 514 that communicates with the implant device 500 via a communications interface 507, e.g., a conventional rf coil link. An external device user interface 508 with a user keyboard input 509 controls an external unit processor 510 to interact with the implant device 500 to control, program and download online event detection fitting information to an external memory 511. An power supply 512 powers the modules in the external device 514.
A clinical fitting system 515 interacts through communications interface 513 to process the event detection fitting data in the event analysis and display 517 module. The clinician works with the signal processing fitting 518 module to customize the fit of the patient device 500, specifically, the stimulation signal processing strategy and stimulation parameters and possibly the online event detection processing 506. The customized fit information and related fitting programming is passed back up through the external unit 514 to the implant device 500 to customize the operation of the implant stimulation processor 504.
In various specific embodiments, event recording may be continuous, or start automatically upon detecting a trigger event and stop after some predefined time or after not detecting more events for a defined time period. Automatic event detection can be online (real-time processing) or offline. Event recording also may start and stop in response to a request by the patient (or guardian) or at preset times determined by a clinician during a fitting session. Additionally, event information may be provided/entered online by the patient (or guardian). This allows correlating recorded signals and/or automatically detected events with events that the patient experienced or perceived. Results of online event detection may be provided to the patient or others at the time of the detection, e.g. as a means of warning. Offline event detection within the clinical fitting system will utilize transfer or at least memory read-out of the related information. The event information can be used in that clinical fitting session for fitting improvement right away or for use in future fitting sessions.
An automated or semi-automated fitting of the vestibular implant to the patient may be performed initially post-surgery and/or as an optimizing adjustment of the fitting after a period of time, and/or at regular post-surgical intervals. All or part of the fitting adaptations can be performed during clinical patient visits for fitting, during remote fitting sessions, during dedicated home fitting sessions, or during regular use of the device by the patient.
The embodiments of the present invention described above form a closed-loop system, which potentially could lead to some instability of some system parameters. This should receive some attention during development and actual device use, especially since at least the human elements of such a closed loop system will likely be functioning non-linearly. Arrangements such as those described above could reduce or even eliminate the need for or at least reduce the frequency of clinical fitting sessions. This could represent a meaningful time- and cost-savings in health care. And the vestibular implant patient may benefit from a device fitting in an optimized state despite of any changes over time in the implant system or the patient, thereby increasing the benefit of the device.
Embodiments of the invention may be implemented in part in any conventional computer programming language. For example, preferred embodiments may be implemented in a procedural programming language (e.g., “C”) or an object oriented programming language (e.g., “C++”, Python). Alternative embodiments of the invention may be implemented as pre-programmed hardware elements, other related components, or as a combination of hardware and software components. For example, a pseudo code representation of a generic embodiment might be set forth as follows:
Embodiments can be implemented in part as a computer program product for use with a computer system. Such implementation may include a series of computer instructions fixed either on a tangible medium, such as a computer readable medium (e.g., a diskette, CD-ROM, ROM, or fixed disk) or transmittable to a computer system, via a modem or other interface device, such as a communications adapter connected to a network over a medium. The medium may be either a tangible medium (e.g., optical or analog communications lines) or a medium implemented with wireless techniques (e.g., microwave, infrared or other transmission techniques). The series of computer instructions embodies all or part of the functionality previously described herein with respect to the system. Those skilled in the art should appreciate that such computer instructions can be written in a number of programming languages for use with many computer architectures or operating systems. Furthermore, such instructions may be stored in any memory device, such as semiconductor, magnetic, optical or other memory devices, and may be transmitted using any communications technology, such as optical, infrared, microwave, or other transmission technologies. It is expected that such a computer program product may be distributed as a removable medium with accompanying printed or electronic documentation (e.g., shrink wrapped software), preloaded with a computer system (e.g., on system ROM or fixed disk), or distributed from a server or electronic bulletin board over the network (e.g., the Internet or World Wide Web). Of course, some embodiments of the invention may be implemented as a combination of both software (e.g., a computer program product) and hardware. Still other embodiments of the invention are implemented as entirely hardware, or entirely software (e.g., a computer program product).
Although various exemplary embodiments of the invention have been disclosed, it should be apparent to those skilled in the art that various changes and modifications can be made which will achieve some of the advantages of the invention without departing from the true scope of the invention.
This application claims priority from U.S. Provisional Patent Application 61/532,817, filed Sep. 9, 2011, which is incorporated herein by reference.
| Number | Date | Country | |
|---|---|---|---|
| 61532817 | Sep 2011 | US |
