The present invention relates to a catheter and method for detecting electrical activity in an organ. The catheter comprises: a proximal end with connection means for connecting to a signal processing system and a distal end for being inserted into a patient's organ, at least 3 arms extending from the distal end, each arm comprising at least one electrode. The catheter further comprises a central electrode at the distal end of the catheter. The method comprises: inserting a multi-electrode catheter into a patient's organ; obtaining and conditioning a positioning signal for positioning the electrodes; obtaining causal information about the current location; processing and summarizing the causal information obtained together with causal information about previous locations; visually presenting a recurrence plot of all the causal information obtained; and then moving the catheter to a new location and repeating the method until obtaining a complete recurrence plot.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

An ergonomic and unobtrusive cardiac monitoring and treatment device for continuous wear includes a band, ECG sensing electrodes and treatment electrodes configured to deliver an electrotherapy, one or more sensor ports for receiving one or more physiological sensors, and a controller for analyzing an ECG signal of a patient and causing a delivery of electro therapy. The band is configured to be worn about a thoracic region and has a vertical span of between about 1 to about 15 centimeters. The band is configured to be immobilized relative to a skin surface of the thoracic region of the patient by exerting one or more compression forces against the thoracic region. The device can include at least two separate wearable portions comprising a band portion including ECG sensing electrodes and/or other physiological sensors, and a second wearable portion optionally separable from the band portion, the second wearable portion including treatment electrodes.

A phase singularity identification system includes: a signal reception unit for receiving a single activity electrogram signal measured through a single-electrode catheter at a particular point of a cardiac muscle cell; a phase calculation unit for calculating a phase from the received single activity electrogram signal; and a phase singularity identification unit for identifying through the calculated phase if the particular point of the cardiac muscle cell is a phase singularity. Accordingly, it is possible to identify the phase singularity of a rotor by using a single-electrode catheter rather than a multi-electrode catheter, thereby significantly reducing time required and costs spent in comparison with prior art, and it is possible to accurately identify the phase singularity of the rotor, thus the system can be used for a radiofrequency electrode catheter ablation procedure for cardiac arrhythmia treatment.

A ventricular implantable medical device that is configured to detect an atrial timing fiducial from the ventricle. The ventricular implantable medical is configured to deliver a ventricular pacing therapy to the ventricle based on the detected atrial timing fiducial. If the ventricular implantable medical device temporarily fails to detect atrial activity because of noise, posture, patient activity or for any other reason, an atrial implantable medical device may be configured to communicate atrial events to the ventricular implantable medical device and the ventricular implantable medical device may synchronize the ventricular pacing therapy with the atrium activity based on those communications.

Individuals who suffer from certain kinds of medical conditions, particularly conditions that only sporadically exhibit measurable symptoms, can feel helpless in their attempts to secure access to medical care because, at least in part, they are left to the mercy of their condition to present symptoms at the right time to allow diagnosis and treatment. Providing these individuals with ambulatory extended-wear health monitors that record ECG and physiology, preferably available over-the-counter and without health insurance preauthorization, is a first step towards addressing their needs. In addition, these individuals need a way to gain entry into the health care system once a medically-actionable medical condition has been identified. Here, the ECG and physiology is downloaded and evaluated post-monitoring against medical diagnostic criteria. Medical specialists are pre-identified and paired up with key diagnostic findings, such that an individual whose monitoring data indicates a medical concern will be automatically referred and treated.

A system for identifying arrhythmias based on cardiac waveforms includes a storage system storing a trained deep neural network system, wherein the trained deep neural system includes a trained representation neural network and a trained classifier neural network. A processing system is communicatively connected to the storage system and configured to receive cardiac waveform data for a patient, identify a time segment in the cardiac waveform data, and transform the time segment into a spectrum image. The processing system is further configured to generate, with the representation neural network, a latent representation from the spectrum image, and then to generate, with the classifier neural network, an arrhythmia classifier from the latent representation.

A method for arrhythmia detection within a heart signal of a patient, wherein the method is executed by a processor and comprises steps of: providing an input signal which refers to the heart signal of the patient, wherein the input signal comprises cardiac events and noise events, wherein the cardiac events are related to cardiac activity of interest of the heart of the patient, and wherein the noise events are not related to cardiac activity of interest of the heart; determining the cardiac events from the input signal in an arrhythmia detection window; evaluating the arrhythmia detection window by taking into account at least one of: (i) at least one noise event occurring before a start of the arrhythmia detection window, or (ii) at least one noise event occurring after an end of the arrhythmia detection window. Also, a device for arrhythmia detection is provided.

An atrial fibrillation detecting device includes a processor and a memory that stores a computer-readable command. When the computer-readable command is executed by the processor, the atrial fibrillation detecting device is configured to acquire pulse data representing a plurality of pulses, calculate a pulse rate based on the pulse data, calculate respective pulse amplitude indices of the plurality of pluses based on the pulse data, calculate an amplitude dispersion of the pulse amplitude indices based on the calculated pulse amplitude indices, calculate respective pulse interval indices of the plurality of pluses based on the pulse data, calculate an interval dispersion of the pulse interval indices based on the calculated pulse interval indices, and determine whether the pulse data is atrial fibrillation, based on the calculated pulse rate, the calculated amplitude dispersion, and the calculated interval dispersion.

A system for processing cardiac activation information associated with a complex rhythm disorder identifies a location of the heart rhythm disorder by determining activations within cardiac signals obtained at neighboring locations of the heart and arranging the activations to identify an activation trail. The activation trail may define a rotational pattern or radially emanating pattern corresponding to an approximate core of the heart rhythm disorder.