Abstract:
A method for mapping a cardiac chamber includes sensing activation signals of intrinsic physiological activity with a plurality of electrodes disposed in or near the cardiac chamber, the activation signals including a near-field activation signal component and a far-field activation signal component, isolating R-wave events in the activation signals, generating a far-field activation template representative of the far-field activation signal component based on the R-wave events, and filtering the far-field activation template from the activation signals to identify the near-field activation signal components in the activation signals.
Abstract:
An anatomical mapping system includes a plurality of mapping electrodes each having an electrode location and configured to detect activation signals of intrinsic physiological activity within an anatomical structure. A mapping processor is associated with the plurality of mapping electrodes and is configured to record the detected activation signals and associate one of the plurality of mapping electrodes with each recorded activation signal. The mapping processor is further configured to analyze the recorded activation signals to identify at least one recurring pattern based on a relationship between a timing of the detected activation signals and the electrode locations of the mapping electrode associated with each detected activation signal.
Abstract:
A catheter system includes a mapping catheter including a plurality of mapping electrodes, each mapping electrode configured to sense signals associated with an anatomical structure. The catheter system further includes a processor operatively coupled to the plurality of mapping electrodes and configured to receive the signals sensed by the plurality of mapping electrodes, characterize the signals sensed by the plurality of mapping electrodes based on amplitudes of the sensed signals, and generate an output of a quality of contact of the plurality of mapping electrodes with the anatomical structure based on the signal characterization.
Abstract:
A catheter system includes a mapping catheter having a plurality of splines, each of the plurality of splines including a plurality of mapping electrodes. The system further includes a processor operatively coupled to the plurality of mapping electrodes and configured to receive signals sensed by the plurality of mapping electrodes. The processor is further configured to estimate an interspline distance between adjacent splines in the plurality of splines based on the signals sensed by the mapping electrodes on the adjacent splines.
Abstract:
Electrical activity propagation along an electrode array within a cardiac chamber is reconstructed. Signals from the electrode array are sampled, and the signals are plotted in multi-dimensional space with each axis corresponding to a channel in the electrode array. A covariance matrix of the plotted signals is decomposed to characterize the spread of a data cloud of the signals in the multi-dimensional space. The data cloud is then decorrelated, such as through whitening, to suppress excursions along correlated directions (global activation) and enhance excursions along each axis (local activation).
Abstract:
Electrical activity propagation along an electrode array within a cardiac chamber is reconstructed. Signals are sampled from the electrode array and the signals are plotted in multi-dimensional space with each axis corresponding to a channel in the electrode array. An excursion direction of global activation in the multi-dimensional space is estimated and a change in vectors of the sampled signals over time is determined. Signals with vectors that change over time in the excursion direction are suppressed.
Abstract:
Medical devices and methods for using medical devices are disclosed. An example mapping medical device may include a catheter shaft with a plurality of electrodes. The catheter shaft may be coupled to a processor. The processor may be capable of collecting a first set of signals from a first location, collecting a second set of signals from a second location, characterizing the first set of signals over a first time period, characterizing the second set of signals over a second time period, comparing the first set of signals to the second set of signals and matching a first signal from the first set of signals with a second signal from the second set of signals.
Abstract:
An anatomical mapping system and method includes mapping electrodes configured to detect activation signals of cardiac activity. A processing system is configured to record the detected activation signals and generate a vector field for each sensed activation signal during each instance of the physiological activity. The processing system determines an onset time and alternative onset time candidates, identifies an initial vector field template based on a degree of similarity between the initial vector field and a vector field template from a bank of templates, then determines an optimized onset time for each activation signal based on a degree similarity between the onset time candidates and initial vector field template.
Abstract:
An anatomical mapping system and method includes mapping electrodes configured to detect activation signals of cardiac activity. A processing system is configured to record the detected activation signals and generate a vector field for each sensed activation signal during each instance of the physiological activity. The processing system determines an onset time and alternative onset time candidates, identifies an initial vector field template based on a degree of similarity between the initial vector field and a vector field template from a bank of templates, then determines an optimized onset time for each activation signal based on a degree similarity between the onset time candidates and initial vector field template.
Abstract:
A system and method for mapping an anatomical structure includes sensing activation signals of physiological activity with a plurality of mapping electrodes disposed in or near the anatomical structure. Patterns among the sensed activation signals are identified based on a similarity measure generated between each unique pair of identified patterns which are classified into groups based on a correlation between the corresponding pairs of similarity measures. A characteristic representation is determined for each group of similarity measures and displayed as a summary plot of the characteristic representations.