A two-dimensional visual display that allows for the user and/or another individual, such as the user's spouse, to experience self-evident, abnormally complex elevated heart rate arrhythmia. The system of the present invention uses a heart rate monitor, along with data analysis, to provide the user with a visual display, seismic feel, and/or aural feedback that allow for the user to be quickly alerted as to any arrhythmia, thereby signaling to the user to change their activity in order to avoid sudden cardiac death.

This document provides methods and materials related to the non-invasive measurement of analytes in blood.

A method for detecting long QT syndrome in a subject comprises obtaining data corresponding to an electrocardiogram (ECG) signal of the subject, identifying a set of features in the data based on selected inflection points of the ECG signal, using the set of features to categorize segments of the ECG signal, and using the categorized segments of the ECG signal and the inflection points to classify the ECG signal as normal or as long QT syndrome. Long QT syndrome is detected when the subject's ECG signal is classified as long QT syndrome. The method may include determining whether the long QT syndrome is Type 1 or Type 2.

Method and device for calculating an indicator indicative of stress and device for on-line detecting stress using individual heart beat ECG features of data acquired from a subject, comprising: obtaining a data sample of each heart beat individually from the acquired data; calculating the fiducial features from each said data sample; classifying each data sample as indicative of stressed or not-stressed, using a pretrained classifier which was previously trained using the same fiducial heart beat features from previously acquired reference data samples from individual heart beats, determining an indication of stress as detected when at least one data sample is classified as stressed. Stress can be determined as detected when one data sample is classified as stressed over a time duration of: only one heart beat and the RR distance between said one heart beat and the previous heart beat.

Described herein are methods, software, systems and devices for detecting the presence of an abnormality in an organ, tissue, body, or portion thereof of a subject by analysis of the electromagnetic fields generated by the organ, tissue, body, or portion thereof.

A system for assessing and monitoring the hemodynamic condition of a patient includes a signal processor and optionally a premise processing system. Additionally, the system can include a biosignal detection device, memory, a display, and any other suitable component. A method for assessing and monitoring the hemodynamic condition of a patient includes: receiving input data; determining a set of windows based on the input data; preprocessing each of the set of windows; processing each of the set of windows; determining a set of features for each of the set of windows; determining a hemodynamic condition for each window based on the set of features; and presenting the hemodynamic condition to a user.

A physiological signal processing device is provided. The physiological signal processing device includes a patch, a plurality of electrodes and a processing device. The plurality of electrodes detect an Electrocardiography (ECG) signal. The processing device is configured in the patch and is coupled to the plurality of electrodes to receive the ECG signal. Furthermore, according to the ECG signal, the processing device calculates a first differential value between a voltage of an R wave of the ECG signal and a reference ECG value, and determines whether the first differential value is greater than or equal to a first threshold to determine whether to adjust the positions of the electrodes. When the positions of the electrodes are determined, the processing device obtains heartbeat information and/or breathing information according to the ECG signal.

An implantable device for analyzing a high frequency (HF) electrogram signal received from subcutaneous, above-rib pickup locations, the device including an implantable electrode for use inside a living body, and a can for subcutaneous implantation, the can including a signal pickup configured to pick up an electrogram signal including a high frequency (HF) component, a signal filter connected to the signal pickup and configured to measure a high frequency (HF) component from the electrogram signal, and an analyzer for analyzing the HF component of the electrogram signal, wherein the analyzer is configured to analyze at least one time-varying parameter of the HF component of the electrogram signal, and the signal filter is configured to measure the electrogram signal by using a signal picked up from at least two pickup locations which are both subcutaneous and above-rib. Related apparatus and methods are also described.

The present disclosure relates to a wearable monitor device and methods and systems for using such a device. In certain embodiments, the wearable monitor records cardiac data from a mammal and extracts particular features of interest. These features are then transmitted and used to provide health-related information about the mammal.

An example method includes analyzing morphology and/or amplitude of each of a plurality of electrophysiological signals across a surface of a patient's body to identify candidate segments of each signal satisfying predetermined conduction pattern criteria. The method also includes determining a conduction timing parameter for each candidate segment in each of the electrophysiological signals.