System and method for detecting abnormal respiration via respiratory parameters derived from intracardiac electrogram signals
US7361146B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 1, 2006 |
| Grant date | Apr 22, 2008 |
| Priority date | — |
| Expiry date | Jun 12, 2026 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61N1/37
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.