Abstract: Systems, devices, and methods detect or classify tachyarrhythmias or make a therapy decision. A tachyarrhythmia can be classified using a rhythm discrimination parameter having a value. In certain examples, the value of the rhythm discrimination parameter can be adjusted using a relationship between a detected atrial rate and a detected ventricular rate, or the value can be adjusted using information about at least one of the atrial rate or the ventricular rate in addition to using the relationship between the atrial rate and the ventricular rate. These techniques can improve the specificity of arrhythmia detection or classification, allow anti-tachyarrhythmia therapy to be better tailored to the particular tachyarrhythmia, or provide more automatic operation making it easier for a physician to use an implantable device.

Abstract: An apparatus comprises an ambulatory cardiac signal sensing circuit configured to provide an electrical cardiac signal representative of cardiac activity of a subject and processor. The processor includes a feature module, a correlation module, and an ischemia detection module. The feature module is configured to identify a fiducial feature in the cardiac signal and locate one or more cardiac features in the cardiac signal using the fiducial feature. The correlation module is configured to calculate a measure of similarity of morphology for a segment of the cardiac signal that includes the cardiac features. The ischemia detection module is configured to detect a change in the measure of similarity and determine whether the detected change in the measure of similarity is indicative of ischemia.

Abstract: Systems and methods are described for classifying a cardiac rhythm. A cardiac rhythm is classified using a classification process that includes a plurality of cardiac rhythm discriminators. Each rhythm discriminator provides an independent classification of the cardiac rhythm. The classification process is modified if the modification is likely to produce enhanced classification results. The rhythm is reclassified using the modified classification process.

Abstract: Patient respiration is sensed from which respiration measurements are made, including a median respiration rate (MedRR) and a maximum respiration rate (MaxRR). Determinations are made as to whether an abnormality exists in MedRR and in MaxRR. An output indicative of the patient's tachypnea status is generated in response to determining the abnormality in MedRR and MaxRR.

Abstract: Systems and methods include accessing a plurality of cardiac indications. A heart rate variability metric is produced by analyzing the plurality of cardiac indications using a measurement from a class of nonlinear measurements. Nonlinear measurements include, but are not limited to, approximate entropy, X-Y scatter from a Poincaré plot, fractal dimension, and detrended fluctuation analysis, in various examples. Based on the heart rate variability metric, a cardiac ischemic state is detected.

Abstract: An apparatus comprises a first implantable sensor produces a first electrical sensor signal representative of cardiac depolarization events of a heart of a subject, a second implantable sensor that produces a second electrical sensor signal representative of hemodynamic function of the heart, a signal analyzer circuit, and an arrhythmia discrimination circuit. The signal analyzer circuit detects an arrhythmic event from the first sensor signal and calculates hemodynamic stability in response to the arrhythmic event detection using the second sensor signal.

Abstract: Systems and methods include obtaining a measure of cardiac contractility. A cardiac contractility variability is determined from the measure of cardiac contractility. Analyzing the cardiac contractility variability, an indication of cardio-vasculature health is provided.

Abstract: Systems and methods are described for classifying a cardiac rhythm. A cardiac rhythm is classified using a classification process that includes a plurality of cardiac rhythm discriminators. Each rhythm discriminator provides an independent classification of the cardiac rhythm. The classification process is modified if the modification is likely to produce enhanced classification results. The rhythm is reclassified using the modified classification process.

Abstract: An apparatus comprises plurality of sensors and a processor. Each sensor provides a sensor signal that includes physiological information and at least one sensor is implantable. The processor includes a physiological change event detection module that detects a physiological change event from a sensor signal and produces an indication of occurrence of one or more detected physiological change events, and a heart failure (HF) detection module. The HF detection module determines, using a first rule, whether the detected physiological change event is indicative of a change in HF status of a subject, determines whether to override the first rule HF determination using a second rules, and declares whether the change in HF status occurred according to the first and second rules.

Abstract: A binding assay product (1) for detecting the presence of an analyte in a sample comprising a labelling module (5), a label, a capture module (9) and a visualisation module (10). The labelling module (5) comprises a first binding component capable of binding the analyte. The label is connectable to the first binding component. The capture module (9) comprises a second binding component capable of binding the analyte. The visualisation module (10) is for detecting the first binding component connected to the label and bound to the second binding component via the analyte. The labelling module and the capture module comprise a fluid conducting medium in which the binding components are embedded. The labelling module (5), the capture module (9) and the visualisation module (10) together define a flow path along which the sample is capable of flowing.

Abstract: An implantable cardioverter/defibrillator includes a tachycardia detection system that detects one-to-one (1:1) tachycardia, which is a tachycardia with a one-to-one relationship between atrial and ventricular contractions. When the 1:1 tachycardia is detected, the system discriminates ventricular tachycardia (VT) from supraventricular tachycardia (SVT) based on analysis of a cardiac time interval. Examples of the cardiac time interval include an atrioventricular interval (AVI) and a ventriculoatrial interval (VAI). A template time interval is created during a known normal sinus rhythm. The system measures a tachycardia time interval after detecting the 1:1 tachycardia, and indicates a VT detection if the tachycardia time interval differs from the template time interval by at least a predetermined percentage of the template time interval.

Abstract: An electroactive photonic device (D) comprises a substrate (1), at least one cathode layer (2), at least one anode layer (4), and at least one layer of active material (3) based on organic compounds and interposed at least partially between the anode and cathode layers (2, 4). The layers (2, 3, 4) are arranged on the substrate (1) in a predetermined configuration such that the device (D) can convert luminous energy into electrical energy or vice versa. The substrate (1) is made of float glass.

Abstract: Assessing decongestive therapy delivered to a heart failure patient involves use of an implantable sensor configured to sense a physiologic parameter indicative of the patient's diuresis status and a processor coupled to the implantable sensor. The sensor may comprise a thoracic fluid sensor, a heart sounds sensor, a cardiac chamber or arterial pressure sensor, a respiration sensor, or a blood chemistry sensor, for example. The processor is configured to determine if a target level of patient diuresis has been achieved based on a relationship between the sensed physiologic parameter and a threshold developed for the patient, and to produce an output in response to determining that the target level of patient diuresis has been achieved. The processor may be disposed in an implantable housing, in a patient-external housing, or in a network server system.

Abstract: A hospitalization management system including a heart failure analyzer that receives diagnostic data including at least sensor data representative of one or more physiological signals sensed from a hospitalized patient using one or more sensors and assesses risk of rehospitalization for the patient using the diagnostic data. The outcome of the risk assessment is used during and following the patient's hospitalization for reducing the risk of rehospitalization.

Abstract: A system including an implantable trigger event detector and an implantable ischemia detector. The implantable trigger event detector is adapted to detect at least one first condition and to output a responsive trigger signal including information about whether the first condition has been detected. The implantable ischemia detector is adapted to detect a second condition indicative of one or more physiologic cardiovascular events in a subject that are indicative of ischemia. The ischemia detector is coupled to the trigger event detector to receive the trigger signal, and the ischemia detector is enabled upon the trigger signal indicating that the first condition has been detected.

Abstract: A system comprising an implantable medical device includes a ventricular heart signal sensing circuit, a pacing therapy circuit, and a controller circuit coupled to the signal sensing circuit and the therapy circuit. The controller circuit is operable to detect a ventricular tachycardia heart rhythm from the cardiac signal, measure an amount of time the heart signal is one of inside or outside of an effective amplitude band, and initiate ATP therapy if the measured amount of time is less than a threshold amount of time.

Abstract: An implantable medical device senses a plurality of electrograms from substantially different atrial locations, detects regional depolarizations from the electrograms, and analyzes timing relationships among the regional depolarizations. The timing relationships provide a basis for effective therapy control and/or prognosis of certain cardiac disorders. In one embodiment, an atrial activation sequence is mapped to show the order of occurrences of the regional depolarizations during an atrial depolarization for classifying a detected tachyarrhythmia by its origin. In another embodiment, conduction time between two atrial locations is measured for monitoring the development of an abnormal atrial conditions and/or the effect of a therapy.

Abstract: An implantable medical device senses a plurality of electrograms from substantially different atrial locations, detects regional depolarizations from the electrograms, and analyzes timing relationships among the regional depolarizations. The timing relationships provide a basis for effective therapy control and/or prognosis of certain cardiac disorders. In one embodiment, an atrial activation sequence is mapped to show the order of occurrences of the regional depolarizations during an atrial depolarization for classifying a detected tachyarrhythmia by its origin. In another embodiment, conduction time between two atrial locations is measured for monitoring the development of an abnormal atrial conditions and/or the effect of a therapy.

Abstract: This document discusses, among other things, a method of identifying a non-fatal tachyarrhythmia episode by determining a degree of similarity between the episode and a template generated from a previous tachyarrhythmia episode.

Abstract: Systems, devices, and methods detect or classify tachyarrhythmias or make a therapy decision. A tachyarrhythmia can be classified using a rhythm discrimination parameter having a value. In certain examples, the value of the rhythm discrimination parameter can be adjusted using a relationship between a detected atrial rate and a detected ventricular rate, or the value can be adjusted using information about at least one of the atrial rate or the ventricular rate in addition to using the relationship between the atrial rate and the ventricular rate. These techniques can improve the specificity of arrhythmia detection or classification, allow anti-tachyarrhythmia therapy to be better tailored to the particular tachyarrhythmia, or provide more automatic operation making it easier for a physician to use an implantable device.