Abstract: Systems and methods are provided to detect and analyze arrhythmia drivers. In one example, a system can include a wave front analyzer programmed to compute wave front lines extending over a surface for each of the plurality of time samples based on phase information computed from electrical data at nodes distributed across the surface. A trajectory detector can be programmed to compute wave break points for each of the wave front lines and to determine a trajectory of at least one rotor core across the surface. A stability detector can be programmed to identify at least one stable rotor portion corresponding to subtrajectories of the determined trajectory.

Abstract: A non-transitory computer-readable medium can have instructions executable by a processor. The instructions can include an electrogram reconstruction method to generate reconstructed electrogram signals for each of a multitude of points residing on or near a predetermined cardiac envelope based on geometry data and non-invasively measured body surface electrical signals. The instructions can include a phase calculator to compute phase signals for the multitude of points based on the reconstructed electrogram signals and a visualization engine to generate an output based on the computed phase signals.

Abstract: A system can include a sensor array comprising a plurality of sensors configured to measure electrical activity across a body surface of a patient and generate electrical data characterizing the measured electrical activity. The plurality of sensors are arranged at predetermined locations for placement over the patient's body to define at least one predetermined zone of the patient's body that maps deterministically to at least one predetermined region of interest of at least one internal anatomical structure of the patient. A control system is configured to analyze the electrical data for the at least one predetermined zone to provide a surrogate estimate of electrical activity at the at least one predetermined region of interest. The control system also is configured to control delivery of a therapy to the patient based on the surrogate estimate of electrical activity at the at least one predetermined region of interest.

Abstract: A system includes an input to receive at least one electrophysiological signal representing cardiac electrical activity measured from a body surface of a patient. The system also includes a signal processor to analyze the at least one electrophysiological signal and compute a score having a value to indicate a likelihood of arrhythmogenic activity, the score being computed as a function of at least two of cycle length, amplitude and polarity of the at least one signal.

Abstract: An example method includes applying a localization signal to a source electrode positioned within a conductive volume and a ground electrode at a known location. Electrical activity is sensed at a plurality of sensor electrodes distributed across an outer surface of the conductive volume. The locations of each of the sensor electrodes and the location of the ground electrode being stored in memory as part of geometry data. The electrical activity sensed at each of the sensor electrodes is stored in the memory as electrical measurement data. The method also includes computing a location of the source electrode by minimizing a difference between respective pairs of source voltages determined for the plurality of sensor electrodes. The source voltage for each of the sensor electrodes is determined based on the electrical measurement data and the geometry data.

Abstract: A system can include a sensor array comprising a plurality of sensors configured to measure electrical activity across a body surface of a patient and generate electrical data characterizing the measured electrical activity. The plurality of sensors are arranged at predetermined locations for placement over the patient's body to define at least one predetermined zone of the patient's body that maps deterministically to at least one predetermined region of interest of at least one internal anatomical structure of the patient. A control system is configured to analyze the electrical data for the at least one predetermined zone to provide a surrogate estimate of electrical activity at the at least one predetermined region of interest. The control system also is configured to control delivery of a therapy to the patient based on the surrogate estimate of electrical activity at the at least one predetermined region of interest.

Abstract: This disclosure relates to localization and tracking of an object. As one example, measurement data can be stored in memory to represent measured electrical signals at each of a plurality of known measurement locations in a given coordinate system in response to an applied signal at an unknown location in the given coordinate system. A dipole model cost function has parameters representing a dipole location and moment corresponding to the applied signal. A boundary condition can be imposed on the dipole model cost function. The unknown location in the given coordinate system, corresponding to the dipole location, can then be determined based on the stored measurement data and the dipole model cost function with the boundary condition imposed thereon.

Abstract: An example method includes receiving monitoring data representing one or more substantially real time electrical signals based on measurements from one or more respective electrodes. The method also includes selecting at least one signal of interest (SOI) from the monitoring data, each selected SOI being associated with a respective anatomical location and storing SOI data in memory corresponding to each selected SOI. The method also includes quantifying changes between signal characteristics of real time signals acquired for one or more respective anatomical locations and the at least one SOI that is associated with each of the respective anatomical locations. An output can be generated based on the quantifying to characterize spatially local signal changes with respect to each of the respective anatomical locations.

Abstract: Systems and methods can be used to provide an indication of heart function, such as an indication of mechanical function or hemodynamics of the heart, based on electrical data. For example, a method for assessing a function of the heart can include determining a time-based electrical characteristic for a plurality of points distributed across a spatial region of the heart. The plurality of points can be grouped into at least two subsets of points based on at least one of a spatial location for the plurality of points or the time-based electrical characteristics for the plurality of points. An indication of synchrony for the heart can be quantified based on relative analysis of the determined time-based electrical characteristic for each of the at least two subsets of points.

Abstract: A method can include providing (302) at least one parameter to control a therapy that is applied to at least one internal anatomical structure of a patient. Electrical data can be obtained from the patient (304), including electrical data acquired via a plurality of sensors during each of a plurality of iterations of the therapy. The electrical data can be analyzed (306) for a respective value of the at least one parameter of the therapy at each of the plurality of iterations of the applied therapy to compute an indication of at least one function of the at least one internal anatomical structure of the patient at each respective iteration of the applied therapy. The computed indication can be stored in memory (308). At least one parameter of the therapy can be adjusted (310) for delivery in a subsequent one of the plurality of iterations based on the indication of the at least one function.

Abstract: Provided are a complex microbial flora, an application thereof in preparing a textile fabric, a cellulose for use as an additive, and a biological bacterial solution pulp, and a method for using the complex microbial flora. The complex microbial flora comprises Bacillus sp. of deposit number CGMCC No. 5971, Rheinheimera tangshanensis of deposit number CGMCC No. 5972, Acinetobacter lwoffii of deposit number CGMCC No. 5973, Pseudomonas fluorescens of deposit number CGMCC No. 5974, and Wickerhamomyces anomalus of deposit number CGMCC No. 5975. The method provided comprises: formulation of a bacterial solution, processing of raw materials, and preparation or pulping of the fiber. In one embodiment, the invention generally includes at least one Rheinheimera tangshanensis of deposit number CGMCC No. 5972, either alone or in the presence of other microorganisms as a complex microbial flora, and their applications thereof.

Abstract: Provided are a complex microbial flora, an application thereof in preparing a textile fabric, a cellulose for use as an additive, and a biological bacterial solution pulp, and a method for using the complex microbial flora. The complex microbial flora comprises Bacillus sp. of deposit number CGMCC No. 5971, Rheinheimera tangshanensis of deposit number CGMCC No. 5972, Acinetobacter lwoffii of deposit number CGMCC No. 5973, Pseudomonas fluorescens of deposit number CGMCC No. 5974, and Wickerhamomyces anomalus of deposit number CGMCC No. 5975. The method provided comprises: formulation of a bacterial solution, processing of raw materials, and preparation or pulping of the fiber. In one embodiment, the invention generally includes at least one Acinetobacter lwoffii of deposit number CGMCC No. 5973, either alone or in the presence of other microorganisms as a complex microbial flora, and their applications thereof.

Abstract: Provided are a complex microbial flora, an application thereof in preparing a textile fabric, a cellulose for use as an additive, and a biological bacterial solution pulp, and a method for using the complex microbial flora. The complex microbial flora comprises Bacillus sp. of deposit number CGMCC No. 5971, Rheinheimera tangshanensis of deposit number CGMCC No. 5972, Acinetobacter lwoffii of deposit number CGMCC No. 5973, Pseudomonas fluorescens of deposit number CGMCC No. 5974, and Wickerhamomyces anomalus of deposit number CGMCC No. 5975. The method provided comprises: formulation of a bacterial solution, processing of raw materials, and preparation or pulping of the fiber. In one embodiment, the invention generally includes at least one Pseudomonas fluorescens of deposit number CGMCC No. 5974, either alone or in the presence of other microorganisms as a complex microbial flora, and their applications thereof.

Abstract: Provided are a complex microbial flora, an application thereof in preparing a textile fabric, a cellulose for use as an additive, and a biological bacterial solution pulp, and a method for using the complex microbial flora. The complex microbial flora comprises Bacillus sp. of deposit number CGMCC No. 5971, Rheinheimera tangshanensis of deposit number CGMCC No. 5972, Acinetobacter Iwoffii of deposit number CGMCC No. 5973, Pseudomonas fluorescens of deposit number CGMCC No. 5974, and Wickerhamomyces anomalus of deposit number CGMCC No. 5975. The method provided comprises: formulation of a bacterial solution, processing of raw materials, and preparation or pulping of the fiber. In one embodiment, the invention generally includes at least one Wickerhamomyces anomalus of deposit number CGMCC No. 5975, either alone or in the presence of other microorganisms as a complex microbial flora, and their applications thereof.

Abstract: Provided are a complex microbial flora, an application thereof in preparing a textile fabric, a cellulose for use as an additive, and a biological bacterial solution pulp, and a method for using the complex microbial flora. The complex microbial flora comprises Bacillus sp. of deposit number CGMCC No. 5971, Rheinheimera tangshanensis of deposit number CGMCC No. 5972, Acinetobacter Iwoffi of deposit number CGMCC No. 5973, Pseudomonas fluorescens of deposit number CGMCC No. 5974, and Wickerhamomyces anomalus of deposit number CGMCC No. 5975. The method provided comprises: formulation of a bacterial solution, processing of raw materials, and preparation or pulping of the fiber. In one embodiment, the invention generally includes at least one Bacillus. Sp. under CGMCC Deposit No. 5971 alone or in the presence of other microorganisms as a complex microbial flora, and their applications thereof.

Abstract: A method includes storing baseline data representing at least one local or global electrical characteristics for at least a portion of a region of interest (ROI) of a patient's anatomical structure. The baseline data is determined based on electrical measurement data obtained during at least one first measurement interval. The method also includes storing in memory other data representing the at least one local or global electrical characteristics for the at least a portion of the ROI based on electrical measurement data obtained during at least one subsequent measurement interval. The method also includes evaluating the baseline data relative to the other data to determine a change in the at least one local or global electrical characteristics. The method also includes generating an output based on the evaluating to provide an indication of progress or success associated with the applying the treatment.

Abstract: A method can include analyzing non-invasive electrical data for a region of interest (ROI) of a patient's anatomical structure to identify one or more zones within the ROI that contain at least one mechanism of distinct arrhythmogenic electrical activity. The method also includes analyzing invasive electrical data for a plurality of signals of interest at different spatial sites within each of the identified zones to determine intracardiac signal characteristics for the plurality of sites within each respective zone. The method also includes generating an output that integrates the at least one mechanism of distinct arrhythmogenic electrical activity for the one or more zones with intracardiac signal characteristics for the plurality of sites within each respective zone.

Abstract: Systems and methods can be used to provide an indication of heart function, such as an indication of mechanical function or hemodynamics of the heart, based on electrical data. For example, a method for assessing a function of the heart can include determining a time-based electrical characteristic for a plurality of points distributed across a spatial region of the heart. The plurality of points can be grouped into at least two subsets of points based on at least one of a spatial location for the plurality of points or the time-based electrical characteristics for the plurality of points. An indication of synchrony for the heart can be quantified based on relative analysis of the determined time-based electrical characteristic for each of the at least two subsets of points.

Abstract: A method may include storing electrical measurement data and geometry. One or more boundary conditions can be determined based on supplemental information associated with at least one selected location associated an anatomic envelope within a patient's body. Reconstructed electrical activity can be computed for a plurality of locations residing on the anatomic envelope within the patient's body based on the electrical data and the geometry data, the least one boundary condition being imposed to improve the computing.

Abstract: Systems and methods are provided to detect and analyze arrhythmia drivers. In one example, a system can include a wave front analyzer programmed to compute wave front lines extending over a surface for each of the plurality of time samples based on phase information computed from electrical data at nodes distributed across the surface. A trajectory detector can be programmed to compute wave break points for each of the wave front lines and to determine a trajectory of at least one rotor core across the surface. A stability detector can be programmed to identify at least one stable rotor portion corresponding to subtrajectories of the determined trajectory.