Method and apparatus for closed-loop deep brain stimulation in treating neurological diseases

• US 8,280,516 B2
• Filed: 06/29/2009
• Issued: 10/02/2012
• Est. Priority Date: 10/09/2008
• Status: Expired due to Fees

• Current Assignee: Daniel Graupe
• Original Assignee: Daniel Graupe
• Inventors: Graupe, Daniel
• Primary Examiner(s): Manuel, George
• Assistant Examiner(s): WIELAND, ROBERT N
• Application Number:
  US12/459,213
• Publication Number:
  US 20100094377A1
• Time in Patent Office: 1,191 Days
• Field of Search: 607/2, 607/45, 607/46, 607/48, 607/96, 340/539.12, 600/300, 600/26
• US Class Current: 607/48
• CPC Class Codes: A61B 5/389 Electromyography [EMG]
• CPC Class Codes: A61B 5/395 Details of stimulation, e.g. nerve stimulation to elicit EMG response
• CPC Class Codes: A61B 5/4082 Diagnosing or monitoring movement diseases, e.g. Parkinson, Huntington or Tourette
• CPC Class Codes: A61N 1/36082 Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease

Abstract

A system that incorporates teachings of the present disclosure may include, for example, a device having a stimulation sequence generator device, at least one implantable electrode for insertion in a brain of a human being, where the at least one implantable electrode is coupled to the stimulation sequence generator, a sensor for placement on a body part of the human being, and a controller coupled to the stimulation sequence generator device and the sensor. The controller can be operable to receive a signal from the sensor, extract from the signal characteristics corresponding to desirable movements of the body part of the human being to generate output data, detect a condition from the output data for predicting an upcoming tremor, and cause the stimulation sequence generator device to apply a stimulation to the at least one implantable electrode for a first period responsive to the detected condition to prevent the upcoming tremor.

Claims

1. A device, comprising:

a stimulation sequence generator device;

at least one implantable electrode for insertion in a brain of a human being, wherein the at least one implantable electrode is coupled to the stimulation sequence generator;

a surface-electromyographic (EMG) sensor for placement on a body part of the human being; and

a controller coupled to the stimulation sequence generator device and the sensor, wherein the controller is operable to;

receive a signal from the surface-EMG sensor;

extract from the signal characteristics corresponding to desirable movements of the body part of the human being to generate output data;

detect a condition from the output data for predicting an upcoming tremor; and

cause the stimulation sequence generator device to apply a stimulation to the at least one implantable electrode for a first period responsive to the detected condition to prevent the upcoming tremor.

2. The device of claim 1, wherein the controller is operable to calculate surface-EMG parameters from the signal.

3. The device of claim 2, wherein the surface-EMG parameters are dynamic time series parameters of a stochastic surface-EMG.

4. The device of claim 3, wherein the stochastic surface-EMG comprises one of autoregressive model parameters, autoregressive and moving average parameters, wavelet model parameters, or equivalents or derivatives thereof, and wherein the controller is operable to predict the condition of the upcoming tremor from the surface-EMG parameters.

5. The device of claim 1, wherein the controller is operable to detect the condition by compensating for a time difference between a neural firing and a tremor detected from signals supplied by the surface-EMG sensor.

6. The device of claim 3, wherein a compensation performed by the controller is predictive such that the controller is operable to cause the stimulation sequence generator device to restart the stimulation before tremors have been predicted to occur.

7. The device of claim 1, wherein the surface-EMG sensor comprises at least one implantable sensing electrode, and wherein the controller is operable to detect the condition from a predetermined threshold level in parameters extracted from the signal, which indicate abnormal effects of a neurological disorder which would re-appear unless stimulation is restarted, and wherein the pre-determined threshold level is adjustable.

8. The device of claim 1, wherein the surface-EMG sensor is a surface raw-EMG electrode, wherein the controller is operable to detect the condition from a pre-determined threshold-level in parameters extracted from the signal, which indicate abnormal effects of a neurological disorder which would re-appear unless stimulation is restarted, and wherein the predetermine threshold level is adjustable.

9. The device of claim 1, wherein no implanted sensors are employed by the device.

10. The device of claim 1, wherein the surface-EMG sensor includes an acceleration sensor.

11. The device of claim 1, wherein the surface-EMG sensor is a noninvasive sensor, and wherein the noninvasive sensor wirelessly transmits signals to the controller.

12. The device of claim 1, comprising an electronic switching device coupled to the stimulation sequence generator device in order that the at least one implantable electrode can be switched from operating as at least one sensor electrode to at least one stimulation electrode, wherein the controller is operable to:

cause the electronic switching device to enter a first state for applying the stimulation to the at least one implantable electrode; and

cause the electronic switching device to enter a second state to allow the at least one implantable electrode to serve as another sensor in addition to the surface-EMG sensor.

13. The device of claim 12, wherein the electronic switching device serves to cause a first impedance change of the at least one implantable electrode when the at least one implantable electrode serves as the at least one stimulation electrode, and wherein the electronic switching device serves to cause a second impedance change of the at least one implantable electrode when serving as the at least one sensor electrode.

14. The device of claim 12, where the controller is operable to integrate information from at least one of the surface-EMG sensor or the at least one implantable electrode when operating as the at least one sensor electrode utilizing a neural network.

15. The device of claim 1, where the controller is operable to discriminate between a desired motor function and a tremor or other abnormal motor function from the signal supplied by the surface-EMG sensor.

16. The device of claim 15, wherein the controller is operable to use a neural network to perform the discrimination.

17. The device of claim 12, wherein the electronic switching device is an optical switch.

18. The device of claim 12, wherein the controller is operable to:

cause the at least implantable electrode to serve as the at least one stimulation electrode for the first period; and

cause the at least implantable electrode to serve as the at least one sensing electrode after the first period for a subsequent period.