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:
A method for mapping an anatomical structure includes sensing activation signals of intrinsic physiological activity with a plurality of electrodes disposed in or near the anatomical structure, identifying at least one of the electrodes not in direct contact with the anatomical structure, and adjusting the activation signals sensed by each of the plurality of electrodes based on the activation signals sensed by the identified at least one of the electrodes not in direct contact with the anatomical structure.
Abstract:
The present disclosure relates to the field of tissue mapping and ablation. Specifically, the present disclosure relates to expandable medical devices for identifying and treating local anatomical abnormalities within a body lumen. More specifically, the present disclosure relates to systems and methods of focal treatment for overactive bladders.
Abstract:
An anatomical mapping system includes a plurality of mapping electrodes, a plurality of mechanical sensors, and a mapping processor associated with the plurality of mapping electrodes and mechanical sensors. The mapping electrodes are configured to detect electrical activation signals of intrinsic physiological activity within an anatomical structure. The mechanical sensors are configured to detect mechanical activity associated with the intrinsic physiological activity. The mapping processor is configured to record the detected activation signals and associate one of the plurality of mapping electrodes and mechanical sensors with each recorded activation signal. The mapping processor is further configured to determine activation times of the intrinsic physiological activity based on a correlation of corresponding electrical activation signals and mechanical activity.
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 system for mapping the electrical activity of the heart includes a processor. The processor is capable of sensing a plurality of signals with a plurality of electrodes positioned within the heart and collecting a plurality of signals corresponding to the plurality of electrodes. Collecting the plurality of signals occurs over a time period. The processor is also capable of generating a plurality of time-frequency distributions corresponding the plurality of signals, generating a composite time-frequency distribution corresponding to the plurality of signals, generating a filter from the composite time-frequency distribution and applying the filter to the plurality of signals or to the plurality of time-frequency distributions
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 and a second electrode. The system also includes a processor. The processor is capable of collecting a first signal corresponding to a first electrode over a time period and generating a first time-frequency distribution corresponding to the first signal. The first time-frequency distribution includes a first dominant frequency value representation occurring at one or more first base frequencies. The processor is also capable of applying a filter to the first signal or derivatives thereof to determine whether the first dominant frequency value representation includes a single first dominant frequency value at a first base frequency or two or more first dominant frequency values at two or more base frequencies.
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:
Electrical activity propagation along an electrode array within a cardiac chamber is reconstructed. Signals are sampled from the electrode array including signals from a channel of interest. An N-dimensional signal vector is then constructed using signals from N neighboring channels referenced to the channel of interest. A change in the N-dimensional signal vector over time is then determined and compared to a predetermined threshold to establish whether local activation has occurred on the channel of interest.