Programmable neurostimulator

• US 20040082980A1
• Filed: 11/04/2003
• Published: 04/29/2004
• Est. Priority Date: 10/19/2000
• Status: Abandoned Application

• Current Assignee: Universite De Strasbourg (Financière Meeschaert SA)
• Original Assignee: Universite De Strasbourg (Financière Meeschaert SA)
• Inventors: Mouine, Jaouhar, Chtourou, Zied
• Application Number:
  US10/399,609
• Publication Number:
  US 20040082980A1
• Time in Patent Office: Days
• US Class Current: 607/48
• CPC Class Codes: A61N 1/36038 Cochlear stimulation
• CPC Class Codes: A61N 1/36039 fitting procedures

Abstract

A programmable neurostimulator and methods, characterized by its modular design is provided, comprising: an internal part based on a mixed-signal ASIC giving access to a complete control on the injected charges, and new channel concept allows performing any stimulation strategy and permit to use any stimulation mode (monopolar, bipolar, quadripolar . . . ); and an external part, built around a DSP and having a digital architecture, which allows to program any signal-processing algorithm, and to store different algorithms and stimulation strategies to be used and selected by the patient himself. An algorithm enables the use of as many filters as needed and the selection of their characteristics and of their associated channels. A vector quantization based stimulation method uses a finite set of element sounds defining all speech characteristics, in such a way that the patient is exposed to a limited number of stimulation sequences allowing the complete identification of the speech phonemes. A wavelet packet based stimulation method is developed towards a new multi-rhythm multi-resolution stimulation strategies that have never been used before. An appropriate hardware as well as a very user-friendly interface clinical s ftware supports all these aspects.

Claims

1. A programmable neurostimulator comprising an external part linked to an internal part designed to be implanted in a patient'"'"'s body, said internal part having a plurality of outputs, each one of said plurality of outputs being provided with an independent control unit and memory and with a current source, and being connectable to an independent electrode, so that each one of a plurality of independent electrodes is independently selectable and addressable.

2. The programmable neurostimulator according to claim 1, comprising at least sixteen electrodes each provided with a control unit and memory and with a current source.

3. The programmable neurostimulator according to claim 1, wherein any one of said plurality of outputs can be selected and activated in a variety of combinations including individually, simultaneously and using a specific synchronism, to address any one, any set or any subset of said plurality of independent electrodes independently.

4. The programmable neurostimulator according to claim 3, wherein said variety of combinations allows to set said plurality of outputs in a desired stimulation mode selected in the group comprising a monopolar stimulation mode, a bipolar stimulation mode, a quadripolar stimulation mode and an n-polar stimulation mode.

5. The programmable neurostimulator according to claim 1, wherein each one of said plurality of outputs is independently configurable as a current source, a current sink and a ground, and in a high impedance state, thereby allowing to generate a variety of current waveforms of a variety of shapes.

6. The programmable neurostimulator according to claim 1, wherein each one, each set or each subset of said plurality of outputs is independently configurable as a current source, a current sink, a ground, and in a high impedance state, thereby allowing to perform a monopolar mode, a bipolar mode, a quadripolar mode, and an n-polar stimulation mode, and to generate a variety of current distributions.

7. The programmable neurostimulator according to claim 6, wherein each one of said one, said set or said subset of the plurality of outputs can be activated individually, simultaneously and using a specific synchronism.

8. The programmable neurostimulator according to claim 1, wherein said internal part is based on an integrated circuit having a mixed-signal structure.

9. The programmable neurostimulator according to claim 8, wherein said integrated circuit includes a current level controller providing a current in each one of said plurality of outputs with a 8-bit accuracy, thus defining 32 current levels ranging from 0 to a maximum value selected by external logic signals.

10. The programmable neurostimulator according to claim 8, wherein said integrated circuit includes a processing logic unit controlling said plurality of outputs.

11. The programmable neurostimulator according to claim 8, wherein said integrated circuit comprises a digital part and an analogue part, said digital part controlling said analogue part by executing a set of command words.

12. The programmable neurostimulator according to claim 11, wherein said digital part includes means to decode said command words.

13. The programmable neurostimulator according to claim 11, wherein each one of said command words includes an address of at least one of said electrodes and a current level and polarity of said output sources.

14. The programmable neurostimulator according to claim 11, wherein said digital part includes a monopolar switch controller allowing to generate monopolar and bipolar stimulations individually and simultaneously.

15. The programmable neurostimulator according to claim 1, wherein said external part has a digital architecture supporting a plurality of signal processing methods and a plurality of stimulation strategies, thereby providing a plurality of stimulation methods by combining said plurality of signal processing methods with said plurality of stimulation strategies.

16. The programmable neurostimulator according to claim 15, wherein said external part is designed independently of said plurality of signal processing methods and of said plurality of stimulation strategies, so as to be adaptable to any digital architecture of said internal part.

17. The programmable neurostimulator according to claim 15, wherein said external part includes an external selection switch allowing selecting one of said plurality of stimulation methods.

18. The programmable neurostimulator according to claim 15, wherein said plurality of stimulation methods is based on an aspect of a speech signal included in the group comprising a frequency aspect of the speech signal, a temporal aspect of the speech signal and a mixed frequency and temporal aspect of the speech signal.

19. The programmable neurostimulator according to claim 15, wherein said plurality of stimulation methods includes single-rate, multi-rate, single-resolution and multi-resolution stimulation methods.

20. The programmable neurostimulator according to claim 19, wherein said multi-rate stimulation method allows a plurality of stimulation rates for a given stimulation strategy, and said multi-resolution stimulation method allows a plurality of different analysing resolution depending on details of the speech signal to be extracted.

21. The programmable neurostimulator according to claim 15, wherein said plurality of stimulation methods is based on a method selected in the group comprising a filter bank method, a vector quantization method and a wavelet packet method.

22. The programmable neurostimulator according to claim 21, wherein said stimulation method based on a filter bank method allows selecting an unlimited number of frequency sub-bands at a desired position and with a desired bandwidth, and associating a given stimulation channel to any one of said frequency sub-bands.

23. The programmable neurostimulator according to claim 21, wherein said stimulation method based on a vector quantization method comprises performing a fast spectral analysis of each speech segment, comparing obtained spectra to those of a codebook stored in the system memory, identifying the obtained spectra, and associating them to an element of the codebook, so as to generate a stimulation with an enhanced signal to noise ratio.

24. The programmable neurostimulator according to claim 21, wherein said stimulation method based on a wav let packet method allows a rate-place encoding of tonotopic information contained in the speech signal (frequency aspect), as well as a time-place encoding of fine temporal information (temporal aspect) thereof.

25. The programmable neurostimulator according to claim 24, wherein said stimulation method is a multi-resolution method that automatically adapts to characteristics of a detected sound, as well as to each patient'"'"'s condition and pathology.

26. The programmable neurostimulator according to claim 24, wherein said stimulation method uses an unlimited number of mother wavelets.

27. The programmable neurostimulator according to claim 24, wherein one of said plurality of stimulation strategies consists in using different temporal resolutions for different stimulation sites and for different frequency ranges.

28. The programmable neurostimulator according to claim 24, wherein one of said plurality of stimulation strategies consists in using a maximal decomposition coefficient in each stage to modulate a pulse on a corresponding channel.

29. The programmable neurostimulator according to claim 24, wherein one of said plurality of stimulation strategies consists in sending stimuli on each channel with an own characteristic rhythm thereof.

30. The programmable neurostimulator according to claim 24, wherein one of said plurality of stimulation strategies consists in transferring part of the magnitude in a channel of high coefficient to a subsequent channel, so that an energy part in excess for a pulse in one channel is added to the energy of a pulse in a subsequent channel.

31. The programmable neurostimulator according to claim 1, wherein said external part operates in a mode selected in the group comprising a stand-alone mode and a slave mode.

32. The programmable neurostimulator according to claim 31, wherein said slave mode allows programming said external part by using a personal computer.

33. The programmable neurostimulator according to claim 1, wherein said neurostimulator is a cochlear prosthesis system.

34. The programmable neurostimulator according to claim 1, further comprising a clinical software psycho-acoustic test part, designed independently of a number and of an address of said plurality of outputs.

35. The programmable neurostimulator according to claim 1, wherein said external part makes use of a plurality of graphical windows, each one of said graphical windows being associated to a specific setup of a sound.

36. A programmable neurostimulator comprising an internal part and an external part, wherein said internal part comprises a digital portion and an analogue portion, said digital portion controlling said analogue portion by executing a set of command words, said internal part being built around an integrated circuit having a plurality of electrodes as current outputs channels;

said external part supporting a plurality of sound processing methods and a plurality of stimulation strategies, so that said programmable neurostimulator allows a plurality of stimulation methods by combining said plurality of sound processing methods with said plurality of stimulation strategies.

37. The programmable neurostimulator according to claim 36, wherein each one of said plurality of electrodes is provided with an independent control unit, an independent memory unit and an independent current source so that any one of said plurality of electrodes can be associated with at least one other of said plurality of electrodes to form a stimulation channel.

38. The programmable neurostimulator according to claim 37, wherein said independent memory unit specifies an amplitude and a polarity of the current and specifies a state of one of said plurality of current outputs channels selected in the group comprising an active state, a ground state and a state of high impedance.

39. The programmable neurostimulator according to claim 37, wherein said independent control unit is a digital to analog (D/A) converter.

40. The programmable neurostimulator according to claim 36, wherein each one of said plurality of current output channels of the integrated circuit can be independently configured as a current source, a current sink, a ground or be set in a high impedance state.

41. The programmable neurostimulator according to claim 36, wherein each one of said plurality of current output channels of the integrated circuit can be selected and activated in a variety of combinations to independently address any of said plurality of electrodes, set of said plurality of electrodes and subset of said plurality of electrodes..

42. The programmable neurostimulator according to claim 36, wherein said plurality of stimulation methods comprises multi-rate and multi-resolution stimulation methods.

43. The programmable neurostimulator according to claim 36, wherein said neurostimulator is a cochlear prosthesis system.

44. A stimulation method for a neurostimulator, wherein said stimulation method includes a sound processing technique and a stimulation strategy.

45. The stimulation method according to claim 44, wherein said stimulation method makes use of a bank of filters associated with channels to generate a stimulation frequency for each one of said channels.

46. The stimulation method according to claim 44, wherein said stimulation method is based on a vector quantization technique whereby a finite set of elements of a sound is used for defining characteristics of a speech, in such a way that a patient is exposed to a limited number of stimulation sequences allowing a complete identification of said speech.

47. The stimulation method according to claim 44, wherein said stimulation method is based on a wavelet packet technique providing that a decomposition basis for a wavelet packet transform may be selected according to a given patient'"'"'s perception of sound, on a pathological state of his cochlea, and on a current state of a surgical installation used.

48. The stimulation method according to claim 47, wherein said stimulation method uses a stimulation strategy whereby, progressing down from a scale to a following scale in a decomposition tree, a number of stages is doubled so that the frequency resolution gets higher and the number of samples, in each level of the decomposition, is kept the same as the number of original Input samples, In such a way that each one of the stimulation channels is associated with a stage in the decomposition tree;

the strategy using different stimulation rates from one level to the other, and the rate of stimulation on each channel being fixed by a number of coefficients of the wavelet packet decomposition issued from the signal decomposition at an associated stage.

49. The stimulation method according to claim 48, wherein said coefficients of the wavelet packet decomposition at the associated stages and their temporal location dictate a time and an order of stimulation on each channel.

50. The stimulation method according to claim 47, wherein a maximal decomposition coefficient of said wavelet packet transform in each stage of the decomposition is used to modulate a pulse on a corresponding channel.

51. The stimulation method according to claim 47, wherein all the samples of the decomposition in the wavelet transform are kept from a scale to another, and the decomposition coefficients are sampled at a rate equal to a characteristic rhythm of an associated channel, so that the number of coefficients that is kept depends on the characteristic rhythm of the associated channel.

52. The stimulation method according to claim 47, wherein part of the magnitude in a channel of high coefficient is transferred to a subsequent channel, so that an energy part in excess for a pulse in one channel is added to the energy of a pulse in a subsequent channel.

53. A signal analyser having a modular architecture using, and independent of, a plurality of stimulation strategies as part of stimulation methods and built around a digital signal processor, comprising:

an operating system, which allows controlling general tasks;

a signal-processing unit to analyze a signal and to determine different aspects thereof to be taken into account;

a stimulation strategy unit to represent said aspects of the signal; and

an encoding unit of the system output;

wherein anyone of said functional parts can be programmed independently of the others.

54. The signal analyser according to claim 53, further provided with:

a graphical window dedicated to psycho-acoustic tests, which allows determining mapping parameters that are used by said stimulation methods;

a graphical window associated to each one of said stimulation methods, which permits to set up respective specific parameters of said stimulation methods;

wherein said graphical windows can communicate between each other for exchanging common specified data or interdependent set-ups.

55. The signal analyser according to claim 53, wherein said signal is a sound.

56. The signal analyser according to claim 54, wherein said signal analyzer provides a systematic phoneme identification process based on operations with a well-defined and limited number of frequency spectra, said frequency spectra including sound and noise so that said signal analyzer adapts to a variety of mother tongues and regional linguistic particularities.

57. The signal analyzer according to claim 53, wherein said signal analyzer is based on a auditory system modeling and on a representation of information in auditory nerves, and wherein said signal analyzer takes into account both frequency and temporal aspects of the signal.

58. The signal analyzer according to claim 53, wherein said signal analyzer is based on a auditory system modeling and on a representation of information in auditory nerves, and permits a rate-place encoding of tonotopic information contained in the signal as well as a time-place encoding of fine temporal information.

62. The cochlear prosthesis according to claim 58, wherein said stimulation method makes use of a bank of filters associated with channels to generate a stimulation frequency.

63. The cochlear prosthesis according to claim 62, wherein said sound processing method allows to split a frequency band of the sound signal into as many different frequency sub-bands as is necessary and to vary a bandwidth and a central frequency of each frequency sub-band.

59. A cochlear prosthesis comprising an internal part to be implanted in an inner ear of a patient linked to an external sound analyzer, wherein said external sound analyzer is completely digital and uses a stimulation method comprising a sound processing technique sustaining a stimulation strategy to represent the sound, and an encoding unit of the sound so represented to be conveyed to the inner ear.

60. The cochlear prosthesis according to claim 59, wherein said sound processing technique is selected in the group comprising speech features extraction and wide-band speech processing.

61. The cochlear prosthesis according to claim 59, wherein said stimulation method is based on a technique selected in the group comprising a filter bank technique, a vector quantization technique and a wavelet packet technique.

64. The cochlear prosthesis according to claim 59, wherein said stimulation method is based on a vector quantization technique whereby a finite set of elements of a sound is used for defining characteristics of a speech, in such a way that a patient is exposed to a limited number of stimulation sequences allowing a complete identification of said speech.

65. The cochlear prosthesis according to claim 64, wherein said stimulation method allows to perform a spectral analysis of each segment of the sound signal, to identify and associate each segment of the sound signal to an element of a pre-stored codebook of sound identification spectra so as to generate a corresponding stimulation sequence in the inner ear through commands sent to said internal part of the cochlear prosthesis.

66. The cochlear prosthesis according to claim 59, wherein said stimulation method is based on a wavelet packet technique providing that a decomposition basis for a wavelet packet transform may be selected according to a given patient'"'"'s perception of sound, on a pathological state of his cochlea, and on a current state of a surgical installation used.

67. The cochlear prosthesis according to claim 66, wherein said stimulation method uses a stimulation strategy whereby, progressing down from a scale to a following scale in a decomposition tree, a number of stages is doubled so that the frequency resolution gets higher and the number of samples, in each level of the decomposition, is kept the same as the number of original input samples, in such a way that each one of the stimulation channels is associated with a stage in the decomposition tree;

the strategy using different stimulation rates from one level to the other, and the rate of stimulation on each channel being fixed by a number of coefficients of the wavelet packet decomposition issued from the signal decomposition at an associated stage.

68. The cochlear prosthesis according to claim 67, wherein said coefficients of the wavelet packet decomposition at the associated stages and their temporal location dictate a time and an order of stimulation on each channel.

69. The cochlear prosthesis according to claim 66, wherein said stimulation method uses a maximal decomposition coefficient of said wavelet packet transform in each stage of the decomposition to modulate a pulse on a corresponding channel.

70. The cochlear prosthesis according to claim 66, wherein said stimulation method uses all the samples of the decomposition in the wavelet transform kept from a scale to another, and the decomposition coefficients are sampled at a rate equal to a characteristic rhythm of an associated channel, so that the number of coefficients that is kept depends on the characteristic rhythm of the associated channel.

71. The cochlear prosthesis according to claim 66, wherein said stimulation method transfers part of the magnitude in a channel of high coefficient to a subsequent channel, so that the energy part in excess for a pulse in one channel is added to the energy of the pulse in the subsequent channel and so on.