Techniques, systems, and products for analyzing sparse indicators and sensor data and generating communications are disclosed. The sensors may be associated with or incorporated into devices that may automatically relay sensor data for use in analyses and communication generation.

A system may include a port, at least one sensing circuit, and at least one processor. The port is configured to receive an indication of dosing of medication to treat a pulmonary condition of a heart failure (HF) subject and the at least one sensing circuit configured to sense at least one physiological signal, wherein the physiological signal includes physiological information of the HF subject. The at least one processor includes a parameter module configured to extract values of at least one physiological parameter indicative of health status of the HF subject, and a trending module configured to trend extracted values of the at least one physiological parameter and detect an effect of the dosing of the medication on the HF subject using the trending of the extracted values of the at least one physiological parameter.

An example method includes performing amplitude-based detection to determine location of R-peaks for a plurality of electrograms. The method also includes performing wavelet-based detection to determine location of R-peaks for the plurality of electrograms. The method also includes adjusting the location of the R-peaks determined by the wavelet-based detection of R-peaks based on the location of R-peaks determined by the amplitude-based detection of R-peaks. The method also includes storing, in memory, R-peak location data to specify R-peak locations for the plurality of electrograms based on the adjusting.

A system and method for a multi-function remote ambulatory cardiac monitoring system. The system includes a housing and a microprocessor disposed within the housing. The microprocessor controls the remote ambulatory cardiac monitoring system. The system also includes an electrode for sensing ECG signals and the electrode being in communication with the microprocessor. An integrated cellular module also is included in the system, and the cellular module is connected to the microprocessor and disposed within the housing. The integrated cellular module transmits ECG signals to a remote center.

Cardiac dyssynchrony of a patient may be evaluated based on electrical activity of a heart of the patient and corresponding chest wall motion of the patient sensed via an external accelerometer. In one example, an acceleration signal indicative of the chest wall motion is generated by an external accelerometer positioned on the chest wall of the patient. A processor of a diagnostic device integrates the acceleration signal to generate a velocity signal and temporally correlates the velocity signal and an electrical cardiac signal. The processor determines a time delay between a deflection of the electrical cardiac signal indicating ventricular electrical activation and a subsequent greatest peak of the velocity signal. The time delay may indicate a degree of electromechanical delay of the left ventricle. In some examples, the processor generates an output indicative of a cardiac dyssynchrony status based on the time delay.

A system and method are provided for determining electrophysiological data. The system comprises an electronic control unit that is configured to receive electrical signals from a set of electrodes, receive position and orientation data for the set of electrodes from a mapping system, compensate for position and orientation artifacts of the set of electrodes, compose cliques of a subset of neighboring electrodes in the set of electrodes, determine catheter orientation independent information of a target tissue, and output the orientation independent information to a display. The method comprising receiving electrogram data for a set of electrodes (80), compensating for artifacts in sensor positions in the mapping system (81), resolving the bipolar signals into a 3D vector electrogram in the mapping system coordinates (82), manipulating observed unipolar voltage signals and the tangent component of the e-field to estimate the conduction velocity vector (83), and outputting the catheter orientation independent information (84).

A method and medical device for detecting a cardiac event that includes sensing cardiac signals from a plurality of electrodes forming a first sensing vector sensing a first interval of the cardiac signal during a predetermined time period and a second sensing vector simultaneously sensing a second interval of the cardiac signal during the predetermined time period, identifying each of the first interval and the second interval as being one of shockable and not shockable in response to first processing of the first interval and the second interval and in response to second processing of one or both of the first interval and the second interval, the second processing being different from the first processing, and determining whether to deliver therapy for the cardiac event in response to identifying each of the first interval and the second interval as being one of shockable and not shockable in response to both the first processing and the second processing of the first interval and the second interval.

Methods, systems, and devices for signal analysis in an implanted cardiac monitoring and treatment device such as an implantable cardioverter defibrillator. In some examples, captured data including detected events is analyzed to identify likely overdetection of cardiac events. In some illustrative examples, when overdetection is identified, data may be modified to correct for overdetection, to reduce the impact of overdetection, or to ignore overdetected data. Several examples emphasize the use of morphology analysis using correlation to static templates and/or inter-event correlation analysis.

A method and system are provided for subdividing a region of interest. The method and system utilize an intravascular mapping tool configured to be inserted into at least one of the endocardial or epicardial space. The mapping tool is maneuvered to select locations proximate to surfaces of the heart, while collecting map points at the select locations to form a point cloud data set during at least one cardiac cycle. The method and system further include selecting a region of interest from the point cloud data set, and forming a triangulation area that include a set of map points from the point cloud data set corresponding to the region of interest. Further, the method and system use a triangulation technique algorithm to generate at least one triangle within the triangulation area formed from at least a portion of the set of map points.

Systems and methods are described herein for assisting a user in identification of interventricular (V-V) delay for cardiac therapy. The systems and methods may monitor electrical activity of a patient using external electrode apparatus to provide electrical heterogeneity information for a plurality of different V-V intervals and may identify a V-V interval based on the electrical heterogeneity information.