Abstract: A method comprises acquiring a set of measurements of impedance of an implantable medical lead, determining a metric of variability of the set of impedance measurements, determining that the metric of variability satisfies a criterion, and generating a lead integrity alert in response to the metric of variability satisfying the criterion.

Abstract: An implantable cardioverter defibrillator (ICD) senses ventricular depolarizations (R-waves) in an electrogram signal to detect a ventricular tachycardia or fibrillation episodes. The EGM signal is also monitored in real time for characteristics that uniquely identify instances of T-wave oversensing. The ICD determines whether detection of a tachycardia or fibrillation episode is appropriate based upon counts of each of the unique characteristics evidencing T-wave oversensing.

Abstract: A method for identifying oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), is described. A near-field electrogram signal and a far-field electrogram signal are obtained via a near-field electrode pair and a far-field electrode pair. The near-field electrogram signal is compared to the far-field electrogram signal and a determination of whether oversensing exists is made based on the comparison. In some instances, a scheduled therapy is withheld in response to determining that oversensing exists.

Abstract: The disclosure is directed towards medical electrical leads having a plurality of electrodes, each of which may be selectable either individually or as a set in combination with one or more other electrodes. The selected one or more electrodes may be performed through the exemplary selection criteria and selection mechanism described herein to define an active stimulation field or sensing vector. For example, the criteria may comprise defining a predetermined ratio and selecting the electrodes to define an anode and cathode with a ratio of a surface area of the anode to a surface area of the cathode being equal to or greater than the predetermined ratio. The medical electrical lead may be adapted for continued therapy by selecting one or more different electrode(s) to define an alternate anode and/or cathode that maintains the criteria.

Abstract: A method for identifying and classifying various types of oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), to assist a physician in choosing corrective action to reduce the likelihood of oversensing and inappropriate therapy delivery. Far-field electrogram (EGM) signals are analyzed to detect the occurrence of R-waves, and the result is compared to the number and pattern of R-waves sensed by the IMD and indicated on the marker channel. A marker channel with more sensed R-waves than indicated by analysis of the far-field EGM indicates the presence of oversensing, including double-counting of R-waves, T-wave oversensing, lead malfunction or failure, poor lead connections, noise associated with electromagnetic interference, non-cardiac myopotentials, etc.

Abstract: A method for identifying and classifying various types of oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), to assist a physician in choosing corrective action to reduce the likelihood of oversensing and inappropriate therapy delivery. Far-field electrogram (EGM) signals are analyzed to detect the occurrence of R-waves, and the result is compared to the number and pattern of R-waves sensed by the IMD and indicated on the marker channel. A marker channel with more sensed R-waves than indicated by analysis of the far-field EGM indicates the presence of oversensing, including double-counting of R-waves, T-wave oversensing, lead malfunction or failure, poor lead connections, noise associated with electromagnetic interference, non-cardiac myopotentials, etc.

Abstract: A method for identifying and classifying various types of oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), to assist a physician in choosing corrective action to reduce the likelihood of oversensing and inappropriate therapy delivery. Far-field electrogram (EGM) signals are analyzed to detect the occurrence of R-waves, and the result is compared to the number and pattern of R-waves sensed by the IMD and indicated on the marker channel. A marker channel with more sensed R-waves than indicated by analysis of the far-field EGM indicates the presence of oversensing, including double-counting of R-waves, T-wave oversensing, lead malfunction or failure, poor lead connections, noise associated with electromagnetic interference, non-cardiac myopotentials, etc.

Abstract: A method and apparatus for detecting a lead-related condition that includes determining whether a first oversensing criteria is satisfied, determining whether a second oversensing criteria is satisfied, determining whether an impedance criteria has been satisfied, and generating an alert in response to more than one of the first oversensing criteria, the second over sensing criteria and the impedance criteria being satisfied.

Abstract: A method and apparatus for automatically identifying various types of cardiac and non-cardiac oversensing is provided. EGM data, including time intervals between sensed and paced events and signal morphologies, are analyzed for patterns indicative of various types of oversensing, including oversensing of far-field R-waves, R-waves, T-waves, or noise associated with electromagnetic interference, non-cardiac myopotentials, a lead fracture, or a poor lead connection. Identification of oversensing and its suspected cause are reported so that corrective action may be taken.

Abstract: A method for identifying and classifying various types of oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), to assist a physician in choosing corrective action to reduce the likelihood of oversensing and inappropriate therapy delivery. Far-field electrogram (EGM) signals are analyzed to detect the occurrence of R-waves, and the result is compared to the number and pattern of R-waves sensed by the IMD and indicated on the marker channel. A marker channel with more sensed R-waves than indicated by analysis of the far-field EGM indicates the presence of oversensing, including double-counting of R-waves, T-wave oversensing, lead malfunction or failure, poor lead connections, noise associated with electromagnetic interference, non-cardiac myopotentials, etc.

Abstract: An implantable cardioverter defibrillator (ICD) senses ventricular depolarizations (R-waves) in an electrogram signal to detect a ventricular tachycardia or fibrillation episodes. The EGM signal is also monitored in real time for characteristics that uniquely identify instances of T-wave oversensing. The ICD determines whether detection of a tachycardia or fibrillation episode is appropriate based upon counts of each of the unique characteristics evidencing T-wave oversensing.

Abstract: A method and apparatus for automatically detecting and diagnosing lead-related conditions is provided. Specifically, relatively short-term and relatively long-term impedance parameters are determined for detecting an impedance trend indicative of a lead-related condition such as an open circuit, which may be due to a conductor fracture or poor connection to an associated implantable medical device, or a short circuit due to an insulation breach. Monitoring of multiple lead impedance parameters is performed to diagnose a lead-related condition based on a number of diagnostic criteria. Supplementary analysis of multiple lead impedance parameter trends may be performed to identify lead-specific conditions, such as metal ion oxidation induced insulation degradation. A lead-related condition diagnosis and supporting data are stored in memory for uplinking to an external device for review by a clinician.

Abstract: A method and apparatus for detecting a lead-related condition that includes determining whether a first oversensing criteria is satisfied, determining whether a second oversensing criteria is satisfied, determining whether an impedance criteria has been satisfied, and generating an alert in response to more than one of the first oversensing criteria, the second over sensing criteria and the impedance criteria being satisfied.

Abstract: A method and apparatus for automatically detecting and diagnosing lead-related conditions is provided. Specifically, relatively short-term and relatively long-term impedance parameters are determined for detecting an impedance trend indicative of a lead-related condition such as an open circuit, which may be due to a conductor fracture or poor connection to an associated implantable medical device, or a short circuit due to an insulation breach. Monitoring of multiple lead impedance parameters is performed to diagnose a lead-related condition based on a number of diagnostic criteria. Supplementary analysis of multiple lead impedance parameter trends may be performed to identify lead-specific conditions, such as metal ion oxidation induced insulation degradation. A lead-related condition diagnosis and supporting data are stored in memory for uplinking to an external device for review by a clinician.

Abstract: A method and apparatus for automatically identifying various types of cardiac and non-cardiac oversensing is provided. EGM data, including time intervals between sensed and paced events and signal morphologies, are analyzed for patterns indicative of various types of oversensing, including oversensing of far-field R-waves, R-waves, T-waves, or noise associated with electromagnetic interference, non-cardiac myopotentials, a lead fracture, or a poor lead connection. Identification of oversensing and its suspected cause are reported so that corrective action may be taken.