COLLECTING SLEEP QUALITY INFORMATION VIA A MEDICAL DEVICE

• US 20070276439A1
• Filed: 03/26/2007
• Published: 11/29/2007
• Est. Priority Date: 03/16/2004
• Status: Abandoned Application

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: LaPorte, Steve, Heruth, Kenneth, Graves, Nina, Miesel, Keith, Werder, Jonathan
• Application Number:
  US11/691,376
• Publication Number:
  US 20070276439A1
• Time in Patent Office: Days
• US Class Current: 607/2
• 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 5/145 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 5/372 Analysis of electroencephalograms
• CPC Class Codes: A61B 5/4815 Sleep quality
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61N 1/36082 Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease

Abstract

At least one of a medical device, such as an implantable medical device, a monitor, and a computing device determines values for one or more metrics that indicate the quality of a patient'"'"'s sleep. Sleep efficiency, sleep latency, and time spent in deeper sleep states are example sleep quality metrics for which values may be determined. In some embodiments, determined sleep quality metric values are associated with a current therapy parameter set. In some embodiments, a programming device presents sleep quality information to a user based on determined sleep quality metric values. A clinician may use the sleep quality information presented by the programming device to evaluate the effectiveness of therapy delivered to the patient by the medical device, to adjust the therapy delivered by the medical device, or to prescribe a therapy not delivered by the medical device in order to improve the quality of the patient'"'"'s sleep.

Claims

1. A method comprising:

monitoring at least one physiological parameter of a patient;

determining a value of a metric that is indicative of sleep quality based on the at least one physiological parameter;

identifying a current therapy parameter used by a medical device to deliver a therapy to a patient when the value of the metric was determined, wherein the therapy comprises at least one of a movement disorder therapy, psychological disorder therapy, or deep brain stimulation; and

associating the sleep quality metric value with the current therapy parameter set.

2. The method of claim 1, wherein monitoring at least one physiological parameter comprises monitoring at least one of electrocardiogram morphology, electroencephalogram morphology, subcutaneous temperature, muscular tone, electrical activity of a brain of the patient, or eye motion.

3. The method of claim 1, wherein monitoring at least one physiological parameter comprises monitoring at least one of activity level, posture, heart rate, respiration rate, respiratory volume, or core temperature.

4. The method of claim 1, wherein monitoring at least one physiological parameter comprises monitoring at least one of blood pressure, blood oxygen saturation, partial pressure of oxygen within blood, partial pressure of oxygen within cerebrospinal fluid, muscular activity, arterial blood flow, melatonin level within a bodily fluid, or galvanic skin response.

5. The method of claim 1, wherein the sleep quality metric comprises sleep efficiency, and determining the value of the sleep quality metric comprises:

identifying when the patient is attempting to sleep;

identifying when the patient is asleep; and

determining a percentage of time that the patient is asleep while the patient is attempting to sleep.

6. The method of claim 1, wherein the sleep quality metric comprises sleep latency, and determining the value of the sleep quality metric comprises:

identifying a first time when the patient is attempting to fall asleep;

identifying a second time when the patient falls asleep; and

determining an amount of time between the first and second times.

7. The method of claim 1, wherein determining the value of the sleep quality metric comprises:

identifying when the patient is within a sleep state; and

determining an amount of time that the patient was within the sleep state, wherein the sleep state comprises at least one of an S3 sleep state and an S4 sleep state.

8. The method of claim 1, wherein determining a value of the sleep quality metric comprises:

determining a value of each of a plurality of sleep quality metrics; and

determining a value of an overall sleep quality metric based on the plurality of sleep quality metric values.

9. The method of claim 8, wherein determining a value of an overall sleep quality metric comprises applying a weighting factor to at least one of the plurality of sleep quality metric values.

10. The method of claim 1,

wherein monitoring at least one physiological parameter of a patient comprises monitoring a frequency of an electroencephalogram (EEG) signal, and

wherein determining a value of the metric that is indicative of sleep quality comprises identifying a sleep state based on the frequency of the EEG signal and determining the value of the metric based on the sleep state.

11. The method of claim 1, further comprising:

determining a plurality of values of the sleep quality metric over time; and

presenting sleep quality information to a user based on the plurality of values.

12. The method of claim 11, wherein presenting sleep quality information to the user comprises presenting at least one of a trend diagram, a histogram, or a pie chart based on the plurality of values of the sleep quality metric.

13. The method of claim 11, wherein presenting sleep quality information to a user comprises presenting a message related to sleep quality to the patient via a patient programmer.

14. The method of claim 1, further comprising:

determining a plurality of values of the sleep quality metric over time;

associating each of the determined values of the sleep quality metric with a current therapy parameter set according to which therapy was delivered by the sleep quality metric value was determined; and

for each of a plurality of therapy parameter sets, determining a representative value of the sleep quality metric based on the values of the sleep quality metric associated with the therapy parameter set.

15. The method of claim 14, further comprising:

presenting a list of the therapy parameter sets and the associated representative values to a user; and

ordering the list of therapy parameter sets according to the associated representative values.

16. The method of claim 14, further comprising:

determining a plurality of values over time for each of a plurality of metrics that are indicative of sleep quality;

associating each of the determined values with a current therapy parameter set according to which therapy was delivered by the sleep quality metric value was determined; and

for each of the therapy parameter sets, determining a representative value for each of the sleep quality metrics based on the values of that sleep quality metric associated with the therapy parameter set.

17. The method of claim 16, further comprising:

presenting a list of the therapy parameter sets and the associated representative values to a user; and

ordering the list of therapy parameter sets according to the representative values of a user-selected one of the sleep quality metrics.

18. A medical system comprising:

a medical device that delivers at least one of a movement disorder therapy, psychological disorder therapy, or deep brain stimulation to a patient;

a monitor that monitors at least one physiological parameter of the patient based on a signal received from at least one sensor; and

a processor that determines a value of a metric that is indicative of sleep quality based on the at least one physiological parameter, identifies a current therapy parameter set used by the medical device to deliver the therapy to the patient when the value of the sleep quality metric was determined, and associates the sleep quality metric value with the current therapy parameter set.

19. The medical system of claim 18, wherein the processor:

identifies when the patient is attempting to sleep;

identifies when the patient is asleep; and

determines a percentage of time that the patient is asleep while the patient is attempting to sleep to determine the value of the sleep quality metric.

20. The medical system of claim 18, wherein the processor:

identifies when the patient is asleep; and

identifies at least one of a number of arousal events and a number of apnea events during a period of sleep to determine the value of the sleep quality metric.

21. The medical system of claim 18, wherein the processor:

identifies when the patient is within a sleep state; and

determines an amount of time that the patient was within the sleep state to determine the value of the sleep quality metric, wherein the sleep state comprises at least one of an S3 sleep state or an S4 sleep state.

22. The medical system of claim 18, further comprising a module that monitors an electroencephalogram (EEG) signal and determines a sleep state according to a frequency of the EEG signal, wherein the processor determines the value of the metric that is indicative of sleep quality based on the sleep state.

23. The medical system of claim 18, further comprising a user interface that presents sleep quality information to a user based upon a plurality of values of the sleep quality metric.

24. The medical system of claim 18, wherein the processor:

determines a plurality of values of the sleep quality metric over time;

associates each of the determined values of the sleep quality metric with a current therapy parameter set according to which therapy was delivered by the sleep quality metric value was determined; and

for each of a plurality of therapy parameter sets, determines a representative value of the sleep quality metric based on the values of the sleep quality metric associated with the therapy parameter set.

25. The medical system of claim 24, further comprising a user interface that presents a list of the therapy parameter sets and the associated representative values to a user, wherein the processor orders the list of therapy parameter sets according to the associated representative values.

26. The medical system of claim 24, wherein the processor:

determines a plurality of values over time for each of a plurality of metrics that are indicative of sleep quality;

associates each of the determined values with a current therapy parameter set according to which therapy was delivered by the sleep quality metric value was determined; and

for each of the therapy parameter sets, determines a representative value for each of the sleep quality metrics based on the values of that sleep quality metric associated with the therapy parameter set.

27. The medical system of claim 26, further comprising a user interface that presents a list of the therapy parameter sets and the associated representative values to a user, wherein the processor orders the list of therapy parameter sets according to the representative values of a user-selected one of the sleep quality metrics.

28. A computer-readable medium comprising instructions that cause a processor to:

monitor at least one physiological parameter of a patient;

determine a value of a metric that is indicative of sleep quality based on the at least one physiological parameter;

identify a current therapy parameter used by a medical device to deliver a therapy to a patient when the value of the metric was determined, wherein the therapy comprises at least one of a movement disorder therapy, psychological disorder therapy, or deep brain stimulation; and

associate the sleep quality metric value with the current therapy parameter set.

29. The computer-readable medium of claim 28, further comprising instructions that cause the processor to:

determine a plurality of values of the sleep quality metric over time;

associate each of the determined values of the sleep quality metric with a current therapy parameter set according to which therapy was delivered by the sleep quality metric value was determined; and

for each of a plurality of therapy parameter sets, determine a representative value of the sleep quality metric based on the values of the sleep quality metric associated with the therapy parameter set.

30. The computer-readable medium of claim 29, further comprising instructions that cause the processor to:

present a list of the therapy parameter sets and the associated representative values to a user; and

order the list of therapy parameter sets according to the associated representative values.

31. The computer-readable medium of claim 29, further comprising instructions that cause the processor to:

determine a plurality of values over time for each of a plurality of metrics that are indicative of sleep quality;

associate each of the determined values with a current therapy parameter set according to which therapy was delivered by the sleep quality metric value was determined; and

for each of the therapy parameter sets, determine a representative value for each of the sleep quality metrics based on the values of that sleep quality metric associated with the therapy parameter set.

32. The computer-readable medium of claim 31, further comprising instructions that cause the processor to:

present a list of the therapy parameter sets and the associated representative values to a user; and

order the list of therapy parameter sets according to the representative values of a user-selected one of the sleep quality metrics.