Abstract: An exemplary method includes positioning a lead in a patient where the lead has a longitudinal axis that extends from a proximal end to a distal end and where the lead includes an electrode with an electrical center offset from the longitudinal axis of the lead body; measuring electrical potential in a three-dimensional potential field using the electrode; and based on the measuring and the offset of the electrical center, determining lead roll about the longitudinal axis of the lead body where lead roll may be used for correction of field heterogeneity, placement or navigation of the lead or physiological monitoring (e.g., cardiac function, respiration, etc.). Various other methods, devices, systems, etc., are also disclosed.

Abstract: An exemplary method includes accessing cardiac information acquired via a catheter located at various positions in a venous network of a heart of a patient wherein the cardiac information comprises position information with respect to time for one or more electrodes of the catheter; performing a principal component analysis on at least some of the position information; and selecting at least one component of the principal component analysis to represent an axis of a cardiac coordinate system. Various other methods, devices, systems, etc., are also disclosed.

Abstract: An exemplary method includes selecting a first pair of electrodes to define a first vector and selecting a second pair of electrodes to define a second vector; acquiring position information during one or more cardiac cycles for the first and second pairs of electrodes wherein the acquiring comprises using each of the electrodes for measuring one or more electrical potentials in an electrical localization field established in the patient; and determining a dyssynchrony index by applying a cross-covariance technique to the position information for the first and the second vectors. Another method includes determining a phase shift based on the acquired position information for the first and the second vectors; and determining an interventricular delay based at least in part on the phase shift.

Abstract: A method includes selecting an electrode located in a patient; acquiring position information with respect to time for the electrode where the acquiring uses the electrode for repeatedly measuring electrical potentials in an electrical localization field established in the patient; calculating a stability metric for the electrode based on the acquired position information with respect to time; and deciding if the selected electrode, as located in the patient, has a stable location for sensing biological electrical activity, for delivering electrical energy or for sensing biological electrical activity and delivering electrical energy. Position information may be acquired during one or both of intrinsic or paced activation of a heart and respective stability indexes calculated for each activation type.

Abstract: An exemplary method includes accessing cardiac information acquired via a catheter located at various positions in a venous network of a heart of a patient where the cardiac information comprises position information, electrical information and mechanical information; mapping local electrical activation times to anatomic positions to generate an electrical activation time map; mapping local mechanical activation times to anatomic positions to generate a mechanical activation time map; generating an electromechanical delay map by subtracting local electrical activation times from corresponding local mechanical activation times; and rendering at least the electromechanical delay map to a display. Various other methods, devices, systems, etc., are also disclosed.

Abstract: An exemplary method generates a map of a pacing parameter, a sensing parameter or one or more other parameters based in part on location information acquired using a localization system configured to locate electrodes in vivo (i.e., within a patient's body). Various examples map capture thresholds, qualification criteria for algorithms, undesirable conditions and sensing capabilities. Various other methods, devices, systems, etc., are also disclosed.

Abstract: Therapy optimization includes tracking electrode motion using an electroanatomic mapping system and generating, based on tracked electrode motion, one or more mechanical dyssynchrony metrics to thereby guide a clinician in therapy optimization (e.g., via optimal electrode sites, optimal therapy parameters, etc.). Such a method may include a vector analysis of electrode motion with respect to factors such as times in cardiac cycle, phases of a cardiac cycle, and therapy conditions, e.g., pacing sites, pacing parameters and pacing or no pacing. Differences in position-with-respect-to-time data for electrodes may also be used to provide measurements of mechanical dyssynchrony.

Abstract: An exemplary method includes providing a mechanical activation time (MA time) for a myocardial location, the location defined at least in part by an electrode and the mechanical activation time determined at least in part by movement of the electrode; providing an electrical activation time (EA time) for the myocardial location; and determining an electromechanical delay (EMD) for the myocardial location based on the difference between the mechanical activation time (MA time) and the electrical activation time (EA time).

Abstract: An exemplary method includes providing a mechanical activation time (MA time) for a myocardial location, the location defined at least in part by an electrode and the mechanical activation time determined at least in part by movement of the electrode; providing an electrical activation time (EA time) for the myocardial location; and determining an electromechanical delay (EMD) for the myocardial location based on the difference between the mechanical activation time (MA time) and the electrical activation time (EA time).

Abstract: An exemplary method includes accessing cardiac information acquired via a catheter located at various positions in a coronary sinus of a patient where the cardiac information includes electrical information and mechanical information; calculating scores based on the cardiac information where each of the scores corresponds to the coronary sinus or a tributary of the coronary sinus; and based on the scores, selecting a tributary of the coronary sinus as an optimal candidate for placement of a left ventricular lead. Accordingly, the selected tributary may be relied on during an implant procedure for the left ventricular lead. Various other methods, devices, systems, etc., are also disclosed.

Abstract: An exemplary method includes positioning a lead in a patient where the lead has a longitudinal axis that extends from a proximal end to a distal end and where the lead includes an electrode with an electrical center offset from the longitudinal axis of the lead body; measuring electrical potential in a three-dimensional potential field using the electrode; and based on the measuring and the offset of the electrical center, determining lead roll about the longitudinal axis of the lead body where lead roll may be used for correction of field heterogeneity, placement or navigation of the lead or physiological monitoring (e.g., cardiac function, respiration, etc.). Various other methods, devices, systems, etc., are also disclosed.

Abstract: An exemplary system includes one or more processors; memory; and control logic, of one or more modules operable in conjunction with the one or more processors and the memory, to acquire myocardial potential data associated with position information, acquire myocardial electrical activation data associated with position information, acquire myocardial position data with respect to time, generate isopotential contours based on the potential data, generate isochronal contours based on the electrical activation data, generate isomotion contours based on the position data with respect to time, and overlay the generated isopotential contours, isochronal contours and isomotion contours on a display to indicate a region of myocardial damage or myocardial scarring with respect to a map that comprises anatomical markers. Various other methods, devices, systems, etc., are also disclosed.

Abstract: An exemplary method includes selecting a first pair of electrodes to define a first vector and selecting a second pair of electrodes to define a second vector; acquiring position information during one or more cardiac cycles for the first and second pairs of electrodes wherein the acquiring comprises using each of the electrodes for measuring one or more electrical potentials in an electrical localization field established in the patient; and determining a dyssynchrony index by applying a cross-covariance technique to the position information for the first and the second vectors. Another method includes determining a phase shift based on the acquired position information for the first and the second vectors; and determining an interventricular delay based at least in part on the phase shift.

Abstract: An exemplary method includes accessing cardiac information acquired via a catheter located at various positions in a venous network of a heart of a patient wherein the cardiac information comprises position information with respect to time for one or more electrodes of the catheter; performing a principal component analysis on at least some of the position information; and selecting at least one component of the principal component analysis to represent an axis of a cardiac coordinate system. Various other methods, devices, systems, etc., are also disclosed.

Abstract: A method includes selecting an electrode located in a patient; acquiring position information with respect to time for the electrode where the acquiring uses the electrode for repeatedly measuring electrical potentials in an electrical localization field established in the patient; calculating a stability metric for the electrode based on the acquired position information with respect to time; and deciding if the selected electrode, as located in the patient, has a stable location for sensing biological electrical activity, for delivering electrical energy or for sensing biological electrical activity and delivering electrical energy. Position information may be acquired during one or both of intrinsic or paced activation of a heart and respective stability indexes calculated for each activation type.

Abstract: A method includes selecting an electrode located in a patient; acquiring position information with respect to time for the electrode, during both acute and chronic states of the electrode, where the acquiring uses the electrode for repeatedly measuring electrical potentials in an electrical localization field established in the patient; calculating an acute state stability metric and a chronic state stability metric for the electrode based on the acquired position information with respect to time; and comparing the acute state stability metric to the chronic state stability metric to decide whether the electrode, as located in the patient in the chronic state, comprises a stable location for delivery of a therapy. The chronic state stability metric of an electrode may be monitored over time to decide whether stability of the electrode has changed.

Abstract: A method includes selecting an electrode located in a patient wherein the electrode comprises a lead-based electrode; acquiring position information with respect to time for the electrode, during both loaded and unloaded conditions of the lead, where the acquiring uses the electrode for repeatedly measuring electrical potentials in an electrical localization field established in the patient; calculating a both loaded and unloaded stability metrics for the electrode based on the acquired position information with respect to time; and comparing the unloaded and loaded stability metrics to decide whether the electrode, as located in the patient, comprises a stable location for delivery of therapy.

Abstract: An exemplary method generates a map of a pacing parameter, a sensing parameter or one or more other parameters based in part on location information acquired using a localization system configured to locate electrodes in vivo (i.e., within a patient's body). Various examples map capture thresholds, qualification criteria for algorithms, undesirable conditions and sensing capabilities. Various other methods, devices, systems, etc., are also disclosed.

Abstract: An exemplary method generates a map of a pacing parameter, a sensing parameter or one or more other parameters based in part on location information acquired using a localization system configured to locate electrodes in vivo (i.e., within a patient's body). Various examples map capture thresholds, qualification criteria for algorithms, undesirable conditions and sensing capabilities. Various other methods, devices, systems, etc., are also disclosed.

Abstract: An exemplary method includes accessing cardiac information acquired via a catheter located at various positions in a venous network of a heart of a patient where the cardiac information comprises position information, electrical information and mechanical information; mapping local electrical activation times to anatomic positions to generate an electrical activation time map; mapping local mechanical activation times to anatomic positions to generate a mechanical activation time map; generating an electromechanical delay map by subtracting local electrical activation times from corresponding local mechanical activation times; and rendering at least the electromechanical delay map to a display. Various other methods, devices, systems, etc., are also disclosed.