System and method for detecting abnormal respiration via respiratory parameters derived from intracardiac electrogram signals
First Claim
1. A method for detecting abnormal respiration within a patient using an implantable medical device, the method comprising:
- sensing cardiac electrical signals, identifying individual cardiac cycles therein, and identifying one or more selected electrical events within the individual cardiac cycles;
detecting one or more parameters associated with individual selected electrical events of the cardiac cycle and detecting patient respiration based on cycle-to-cycle changes in the detected parameters associated with the individual selected electrical events; and
detecting abnormal respiration by identifying individual respiratory cycles within the patient respiration, detecting one or more parameters associated with the individual respiratory cycles, including an inter-breath interval and a depth of respiration, detecting any significant changes in the parameters associated with the individual respiratory cycles, and evaluating the significant changes to detect abnormal respiration.
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Abstract
Techniques are provided for tracking patient respiration based upon intracardiac electrogram (IEGM) signals or other electrical cardiac signals. Briefly, respiration patterns are detected based upon cycle-to-cycle changes in morphological features associated with individual electrical events with the IEGM signals. For example, slight changes in the peak amplitudes of QRS-complexes, P-waves or T-waves are tracked to identify cyclical variations representative of patient respiration. Alternatively, the integrals of the morphological features of the individual events may be calculated for use in tracking respiration. In any case, once respiration patterns have been identified, episodes of abnormal respiration, such as apnea, hyperpnea, nocturnal asthma, or the like, may be detected and therapy automatically delivered. In particular, techniques for detecting abnormal respiration based on various respiratory parameters derived from the IEGM—such as respiration depth and respiration power—are described.
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Citations
19 Claims
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1. A method for detecting abnormal respiration within a patient using an implantable medical device, the method comprising:
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sensing cardiac electrical signals, identifying individual cardiac cycles therein, and identifying one or more selected electrical events within the individual cardiac cycles; detecting one or more parameters associated with individual selected electrical events of the cardiac cycle and detecting patient respiration based on cycle-to-cycle changes in the detected parameters associated with the individual selected electrical events; and detecting abnormal respiration by identifying individual respiratory cycles within the patient respiration, detecting one or more parameters associated with the individual respiratory cycles, including an inter-breath interval and a depth of respiration, detecting any significant changes in the parameters associated with the individual respiratory cycles, and evaluating the significant changes to detect abnormal respiration. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A system for detecting respiration within a patient for use within an implantable medical device, the system comprising:
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sensing circuitry operative to sense intracardiac electrogram (IEGM) signals; an IEGM-based respiration detector operative to detect features associated with individual electrical events within the electrical cardiac signals and to detect patient respiration based on cycle-to-cycle changes in the features of the individual events; and an IEGM-based abnormal respiration detector operative to identifying individual respiratory cycles within the patient respiration, detect one or more parameters associated with the individual respiratory cycles including an inter-breath interval and a depth of respiration, detect any significant changes in the parameters associated with the individual respiratory cycles, and evaluating the significant changes to detect abnormal respiration.
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19. An implantable system comprising:
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means for sensing electrical cardiac signals; means for detecting patient respiration based on cycle-to-cycle changes in the electrical cardiac signals; means for identifying individual respiratory cycles within the patient respiration; means for detecting parameters associated with individual respiratory cycles including an inter-breath interval and a depth of respiration; and means for detecting abnormal respiration based on changes in parameters associated with individual respiratory cycles.
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Specification