DETERMINATION OF SLEEP QUALITY FOR NEUROLOGICAL DISORDERS

• US 20140222101A1
• Filed: 04/08/2014
• Published: 08/07/2014
• Est. Priority Date: 03/16/2004
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Miesel, Keith A., Heruth, Kenneth T., Werder, Jonathan C., LaPorte, Steve R., Graves, Nina M.
• Granted Patent: US 10,300,283 B2
• Time in Patent Office: Days
• US Class Current: 607/45
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1116 Determining posture transitions
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/37 Intracranial electroencephalography [IC-EEG], e.g. electrocorticography [ECoG]
• CPC Class Codes: A61B 5/372 Analysis of electroencephalograms
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6825 Hand
• CPC Class Codes: A61B 5/686 Permanently implanted devices, e.g. pacemakers, other stimulators, biochips A61B5/6861 takes precedence
• CPC Class Codes: A61M 5/14276 specially adapted for implantation
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: A61N 1/36025 : for treating a mental or cerebral condition
• CPC Class Codes: A61N 1/36064 : Epilepsy
• CPC Class Codes: A61N 1/36067 : Movement disorders, e.g. tremor or Parkinson disease stimulating motor muscle A61N1/36003
• CPC Class Codes: A61N 1/36071 : Pain
• CPC Class Codes: A61N 1/36082 : Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease
• CPC Class Codes: A61N 1/36135 : using physiological parameters
• CPC Class Codes: A61N 1/36521 : the parameter being derived from measurement of an electrical impedance
• CPC Class Codes: A61N 1/36542 : controlled by body motion, e.g. acceleration
• CPC Class Codes: A61N 1/36557 : controlled by chemical substances in blood
• CPC Class Codes: A61N 1/37247 : User interfaces, e.g. input or presentation means

Abstract

A device determines values for one or more metrics that indicate the quality of a patient'"'"'s sleep based on sensed physiological parameter values. Sleep efficiency, sleep latency, and time spent in deeper sleep states are example sleep quality metrics for which values may be determined. The sleep quality metric values may be used, for example, to evaluate the effectiveness of a therapy delivered to the patient by a medical device. In some embodiments, determined sleep quality metric values are automatically associated with the therapy parameter sets according to which the medical device delivered the therapy when the physiological parameter values were sensed, and used to evaluate the effectiveness of the various therapy parameter sets. The medical device may deliver the therapy to treat a non-respiratory neurological disorder, such as epilepsy, a movement disorder, or a psychological disorder. The therapy may be, for example, deep brain stimulation (DBS) therapy.

Claims

1. A method comprising:

delivering a therapy from a medical device according to a first set of therapy parameters to a patient to treat a neurological disorder of the patient;

sensing electrical activity of the brain of the patient during the delivery of the therapy to the patient according to the first set of therapy parameters;

determining sleep states of the patient based on the sensed electrical activity of the brain of the patient, wherein determining the sleep states of the patient includes comparing the relative power levels of different frequency bands of the sensed electrical activity of the brain of the patient; and

after delivering the therapy according to the first set of therapy parameters, delivering the therapy according to a second set of therapy parameters, the second set of therapy parameters being modified as compared to the first set of therapy parameters based on the determined sleep states.

2. The method of claim 1, wherein sensing electrical activity of the brain of the patient during the delivery of the therapy to the patient comprises sensing electrical activity of the brain of the patient, during the delivery of the therapy to the patient, with at least one electrode of a lead positioned within a cranium of the patient, the at least one electrode being in communication with the medical device.

3. The method of claim 2, wherein delivering the therapy from the medical device to the patient to treat the neurological disorder of the patient includes delivering the therapy via the lead positioned within the cranium of the patient.

4. The method of claim 1, further comprising presenting a message related to sleep quality of the patient via a patient programmer based on the determined sleep states.

5. The method of claim 1, wherein delivering therapy comprises delivering therapy according to a plurality of therapy parameter sets, the method further comprising associating, for each of the plurality of therapy parameter sets, that particular therapy parameter set with the sleep states determined based on electrical activity of the brain during the delivery of the therapy according to that particular therapy parameter set.

6. The method of claim 1, wherein delivering a therapy comprises delivering at least one of an epilepsy therapy, a movement disorder therapy, or a psychological disorder therapy.

7. The method of claim 1, wherein delivering a therapy comprises delivering deep brain stimulation (DBS).

8. The method of claim 1, wherein the sleep states of the patient are determined based upon the frequency band that has the highest relative power level.

9. The method of claim 1, further comprising selecting different therapy parameter sets for the therapy from the medical device based on the determined sleep states.

10. The method of claim 1, wherein one of the frequency bands includes frequencies between 30 Hz and approximately 50 Hz.

11. A medical system comprising:

a medical device configured to deliver a therapy to a patient to treat a neurological disorder of the patient;

a sensor configured to sense electrical activity of the brain of the patient during the delivery of the therapy to the patient; and

a processor configured to determine sleep states of the patient based on the sensed electrical activity of the brain of the patient, wherein determining the sleep states of the patient includes comparing the relative power levels of different frequency bands of the sensed electrical activity of the brain of the patient, and further configured to select therapy parameters for the delivery of the therapy based on the determined sleep states,

wherein the medical device is configured to deliver the therapy according to the therapy parameters selected by the processor based on the determined sleep states.

12. The medical system of claim 11, wherein the sensor is configured to sense electrical activity of the brain of the patient during the delivery of the therapy to the patient, with at least one electrode of a lead positioned within a cranium of the patient, the at least one electrode being in communication with the medical device.

13. The medical system of claim 12, wherein the medical device is configured to deliver the therapy via the lead positioned within the cranium of the patient.

14. The medical system of claim 11, further comprising a user interface configured to present a message related to sleep quality of the patient based on the determined sleep states.

15. The medical system of claim 11,

wherein the medical device is configured to deliver the therapy according to a plurality of therapy parameter sets, and

wherein the processor is configured to, for each of the plurality of therapy parameter sets, associate that particular therapy parameter set with the sleep states determined based on electrical activity of the brain during the delivery of the therapy according to that particular therapy parameter set.

16. The medical system of claim 11, wherein the therapy includes at least one of:

an epilepsy therapy, a movement disorder therapy, or a psychological disorder therapy.

17. The medical system of claim 11, wherein the medical device is configured to be coupled to at least one lead implanted within the brain and configured to deliver deep brain stimulation (DBS) via the at least one lead.

18. The medical system of claim 17, wherein the medical device is configured for implantation beneath a scalp of the patient.

19. The medical system of claim 11, wherein the processor is housed within the medical device.

20. The medical system of claim 11, wherein the processor determines the sleep states of the patient based upon the frequency band that has the highest relative power level.

21. The medical system of claim 11, wherein the processor selects different therapy parameter sets for the therapy from the medical device based on the determined sleep states.

22. The medical system of claim 11, wherein one of the frequency bands includes frequencies between 30 Hz and approximately 50 Hz.