Abstract:
Medical devices and methods for making and using medical devices are disclosed. An example medical device may include a system for mapping the electrical activity of the heart. The system may include a catheter shaft with a plurality of electrodes. The system may also include a processor. The processor may be capable of collecting a set of signals from at least one of the plurality of electrodes. The set of signals may be collected over a time period. The processor may also be capable of calculating at least one propagation vector from the set of signals, generating a data set from the at least one propagation vector, generating a statistical distribution of the data set and generating a visual representation of the statistical distribution.
Abstract:
Medical devices and methods for making and using medical devices are disclosed. An example method may include a method of identifying an activation time in a cardiac electrical signal. The method may include sensing a cardiac electrical signal, generating an approximation signal based at least in part on one or more parameters of the cardiac electrical signal, identifying a fiducial point on the approximation signal and determining, based at least in part on a timing of the fiducial point in the approximation signal, an activation time in the cardiac electrical signal.
Abstract:
Medical devices and methods for making and using medical devices are disclosed. An example method may include a method of mapping the electrical activity of a heart. The method may include sensing a plurality of signals with a plurality of electrodes positioned within the heart, determining a dominant frequency of the plurality of signals and generating an alternate signal for each of the plurality of signals corresponding to the dominant frequency. The alternate signals may have a phase-shift corresponding to one of the plurality of signals. The method may also include displaying a characteristic of the alternate signal over time.
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:
A catheter system includes a catheter comprising a tip assembly, the tip assembly having a plurality of electrodes and the plurality of electrodes are configured to measure electrical signals. The system also includes a processing unit configured to: receive a first electrical signal sensed by a first electrode of the plurality of electrodes and a second electrical signal sensed by a second electrode of the plurality of electrodes. A first vector is determined based on the first electrical signal that corresponds to the first electrode. A second vector is determined based on the second electrical signal that corresponds to the second electrode. A resultant vector is determined by summing at least the first vector and the second vector, wherein the resultant vector is indicative of the orientation of the tip assembly.
Abstract:
Medical devices and methods for making and using medical devices are disclosed. An example system for mapping the electrical activity of the heart includes a catheter shaft. The catheter shaft includes a plurality of electrodes including a first electrode and a second electrode. The system also includes a processor. The processor is capable of collecting a first signal corresponding to the first electrode and a second signal corresponding to the second electrode. Collecting the first and second signals occurs over a time period. The processor is also capable of generating a first time-frequency distribution corresponding to the first signal, identifying a first dominant frequency value occurring at a first dominant frequency and a first time point, generating a second time-frequency distribution corresponding to the second signal, identifying a second dominant frequency value occurring at a second dominant frequency and a second time point and determining an attraction point.
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.
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.