Implantable device employing movement sensing for detecting sleep-related disorders

• US 7,887,493 B2
• Filed: 09/13/2004
• Issued: 02/15/2011
• Est. Priority Date: 09/18/2003
• Status: Expired due to Fees

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Hartley, Jesse W., Lee, Kent, Stahmann, Jeffrey E., Ni, Quan
• Primary Examiner(s): Mallari; Patricia C
• Application Number:
  US10/939,834
• Publication Number:
  US 20050113710A1
• Time in Patent Office: 2,346 Days
• Field of Search: 600/529, 600/546
• US Class Current: 600/529
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61M 16/0051 with alarm devices
• CPC Class Codes: A61M 16/024 including calculation means, e.g. using a processor
• CPC Class Codes: A61M 16/10 Preparation of respiratory gases or vapours
• CPC Class Codes: A61M 2205/3561 local, e.g. within room or hospital
• CPC Class Codes: A61M 2205/3584 using modem, internet or bluetooth
• CPC Class Codes: A61M 2230/04 Heartbeat characteristics, e.g. ECG, blood pressure modulation
• CPC Class Codes: A61M 2230/60 Muscle strain, i.e. measured on the user
• CPC Class Codes: A61M 2230/63 Motion, e.g. physical activity
• CPC Class Codes: A61M 2230/65 Impedance, e.g. conductivity, capacity
• CPC Class Codes: A61N 1/3601 of respiratory organs
• CPC Class Codes: A61N 1/3611 Respiration control stimulating respiratory organs A61N1/3601
• 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

Abstract

Methods and systems for evaluating a pathological condition include acquiring movement information, such as electromyogram (EMG) information, and sleep disordered breathing (SDB) information, and detecting the presence of a pathological condition using both movement and SDB information. Methods may involve sensing physiological signals including at least muscle movement signals. Sleep-related disorders are detected using the sensed physiological signals, the sleep-related disorders including at least an involuntary muscle movement disorder and sleep-disordered breathing. Methods and systems also provide for detecting and treating a sleep-related disorder using movement and SDB information. Cardiac, respiratory, nerve stimulation, drug, or a combination of such therapies may be delivered to treat a detected or diagnosed pathological condition.

Claims

1. A method of detecting sleep-related disorder events, comprising:

sensing a plurality of physiological signals including at least muscle movement signals comprising electromyogram signals;

detecting the sleep-related disorder events using the sensed physiological signals, the sleep-related disorder events comprising involuntary muscle movement events of non-respiratory muscles and sleep-disordered breathing events, the detection of the sleep-disordered breathing events and the involuntary muscle movement events based at least in part on the electromyogram signals; and

calculating a composite sleep disorder index, the composite sleep disorder index quantifying combined effect of the involuntary muscle movement events and the sleep-disordered breathing events, wherein at least one of calculating and detecting is implemented at least in part patient-internally using a circuit.

2. The method of claim 1, wherein sensing the physiological signals is performed at least in part patient-internally, and detecting the sleep-related disorder events is performed patient-externally.

3. The method of claim 1, wherein sensing the physiological signals is performed patient-externally, and detecting the sleep-related disorder events is performed at least in part patient-internally.

4. The method of claim 1, wherein sensing, detecting, and calculating are performed at least in part patient-internally.

5. The method of claim 1, wherein detecting the sleep-related disorder events comprises:

detecting one of the sleep-related disorder events patient-internally; and

detecting another one of the sleep-related disorder events patient-externally.

6. The method of claim 1, wherein detecting the sleep disordered breathing events further comprises patient internally detecting the sleep disordered breathing events using transthoracic impedance signals.

7. The method of claim 6, wherein at least some of the electromyogram signals are sensed from one or more intramuscular locations.

8. The method of claim 1, wherein at least some of the physiological signals comprise transthoracic impedance signals sensed from a patient internal location.

9. The method of claim 1, further comprising detecting one or more sleep stages using the muscle movement signals.

10. The method of claim 1, wherein the sleep-disordered breathing events comprises one or more of sleep apnea, hypopnea, and Cheyne-Stokes respiration.

11. The method of claim 1, wherein the involuntary muscle movement events comprise one or more of a condition associated with bruxism, a condition associated with periodic limb movement disorder, and a condition associated with restless leg syndrome.

12. The method of claim 1, further comprising communicating one or both of the plurality of physiological signals and information associated with the detected sleep-related disorder events to a patient-external processing system.

13. The method of claim 1, further comprising communicating one or more of the plurality of physiological signals, information associated with the detected sleep-related disorder events, and the composite sleep disorder index to an implantable medical device.

14. The method of claim 1, further comprising at least one of controlling and delivering a therapy to treat a condition associated with one or more of the detected sleep-related disorder events based on the sleep movement disorder index.

15. The method of claim 1, wherein calculation of the composite sleep disorder index comprises calculating an apnea/hypopnea index and a movement disorder index, the apnea/hypopnea index representative of an amount of apnea and hypopnea events relative to time and the movement disorder index representative of an amount of the involuntary muscle movement events relative to time.

16. The method of claim 1, further comprising detecting patient arousal from sleep events, wherein calculation of the composite sleep disorder index comprises:

calculating an arousal index based on the detected patient arousal from sleep events, the arousal index representative of an amount of arousal from sleep events relative to time;

calculating a restless leg movement index based on detected involuntary muscle movement events, the restless leg movement index representative of an amount of involuntary restless leg movement events relative to time; and

combining weighted arousal index and restless leg movement index values.

17. The method of claim 1, further comprising detecting patient arousal from sleep events, wherein calculation of the composite sleep disorder index comprises:

calculating an arousal index based on the detected patient arousal from sleep events, the arousal index representative of an amount of arousal from sleep events relative to time;

calculating a periodic leg movement index based on detected periodic leg movement events, the periodic leg movement index representative of an amount of periodic leg movement events relative to time; and

combining weighted arousal index and periodic leg movement index values.

18. The method of claim 1, wherein information associated with at least one of the detected sleep-related disorder events and composite sleep disorder index is at least one of stored, trended, communicated, displayed, or printed.

19. The method of claim 1, further comprising detecting patient arousal from sleep events, wherein calculation of the composite sleep disorder index comprises:

calculating an arousal index based on the detected patient arousal from sleep events, the arousal index representative of an amount of arousal from sleep events relative to time;

calculating a bruxism index based on detected bruxism events, the bruxism index representative of an amount of bruxism events relative to time; and

combining weighted arousal index and bruxism index values.

20. The method of claim 1, further comprising:

detecting patient sleep; and

calculating undisturbed sleep efficiency by subtracting disturbed sleep time from detected sleep time, the disturbed sleep time based on time with sleep-related disorder events.

21. The method of claim 1, wherein the detection of the sleep-disordered breathing disorder events and the involuntary muscle movement disorder events are each based at least in part on the same electromyogram signal indicative of involuntary muscle movement.