The present invention relates to a method to provide a mean temporal spatial isochrone (TSI) path relating to an ECG feature (wave form) of interest, such as the activation of the heart from a single point (QRS), relative to the heart in a torso while using an ECG measurement from an ECG recording device. The method includes: receiving ECG measuring data from the ECG recording device; determining vector cardiogram (VCG) data; receiving a model of the heart, preferably with torso, as an input, preferably based on a request including request parameters; determining mean TSI data values representing the TSI path relating to an electrophysiological phase representing the ECG feature, the mean TSI providing a location within the heart representing the mean location of the ECG feature at the corresponding time; positioning the mean TSI path and preferably the vector cardiogram data points in the model of the heart and/or torso at an initial position; and rendering the model of the heart, preferably with torso, with the mean TSI path, preferably with VCG data related to the TSI, for displaying on a display screen for interpretation of the displayed rendering.

The present invention relates to a method to provide a mean temporal spatial isochrone (TSI) path relating to an ECG feature (wave form) of interest, such as the activation of the heart from a single point (QRS), relative to the heart in a torso while using an ECG measurement from an ECG recording device. The method includes: receiving ECG measuring data from the ECG recording device; determining vector cardiogram (VCG) data; receiving a model of the heart, preferably with torso, as an input, preferably based on a request including request parameters; determining mean TSI data values representing the TSI path relating to an electrophysiological phase representing the ECG feature, the mean TSI providing a location within the heart representing the mean location of the ECG feature at the corresponding time; positioning the mean TSI path and preferably the vector cardiogram data points in the model of the heart and/or torso at an initial position; and rendering the model of the heart, preferably with torso, with the mean TSI path, preferably with VCG data related to the TSI, for displaying on a display screen for interpretation of the displayed rendering.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac electrical activity data.

The invention provides systems and methods for monitoring the wellbeing of a fetus by the non-invasive detection and analysis of fetal cardiac electrical activity data.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect a location of a source of at least one cardiac rhythm disorder in a patient's heart. In some embodiments, electrogram signals are acquired from a patient's body surface, and subsequently normalized, adjusted and/or filtered, followed by generating a two-dimensional spatial map, grid or representation of the electrode positions, processing the amplitude-adjusted and filtered electrogram signals to generate a plurality of three-dimensional electrogram surfaces corresponding at least partially to the 2D map, one surface being generated for each or selected discrete times, and processing the plurality of three-dimensional electrogram surfaces through time to generate a velocity vector or other type of map using one or more of optical flow, video tracking analysis, motion capture analysis, motion estimation analysis, data association and segmentation tracking analysis, particle tracking analysis, and single-particle tracking analysis methods corresponding at least partially to the 2D map. Trained atrial discriminative machine learning models that facilitate the foregoing systems and methods, and that provide predictions or results concerning a patient's condition, are also disclosed.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to detect a location of a source of at least one cardiac rhythm disorder in a patient's heart. In some embodiments, electrogram signals are acquired from a patient's body surface, and subsequently normalized, adjusted and/or filtered, followed by generating a two-dimensional spatial map, grid or representation of the electrode positions, processing the amplitude-adjusted and filtered electrogram signals to generate a plurality of three-dimensional electrogram surfaces corresponding at least partially to the 2D map, one surface being generated for each or selected discrete times, and processing the plurality of three-dimensional electrogram surfaces through time to generate a velocity vector or other type of map using one or more of optical flow, video tracking analysis, motion capture analysis, motion estimation analysis, data association and segmentation tracking analysis, particle tracking analysis, and single-particle tracking analysis methods corresponding at least partially to the 2D map. Trained atrial discriminative machine learning models that facilitate the foregoing systems and methods, and that provide predictions or results concerning a patient's condition, are also disclosed.

A biological signal monitoring wear includes: a plurality of electrodes; an electrically connecting unit configured to electrically connect a biological signal measurement instrument to the electrodes; and a wear main body to which the electrically connecting unit is detachably attached. The electrically connecting unit includes: a sheet electrical insulator having flexibility; a plurality of electrode connectors formed on a first surface of both surfaces of the electrical insulator, the electrode connectors configured to connect the respective electrodes; an instrument connector formed on a second surface of both surfaces of the electrical insulator, the instrument connector configured to detachably connect the biological signal measurement instrument; and an electrical conductor formed in the electrical insulator, the electrical conductor configured to electrically connect the electrode connectors to the instrument connector.

A biological signal monitoring wear includes: a plurality of electrodes; an electrically connecting unit configured to electrically connect a biological signal measurement instrument to the electrodes; and a wear main body to which the electrically connecting unit is detachably attached. The electrically connecting unit includes: a sheet electrical insulator having flexibility; a plurality of electrode connectors formed on a first surface of both surfaces of the electrical insulator, the electrode connectors configured to connect the respective electrodes; an instrument connector formed on a second surface of both surfaces of the electrical insulator, the instrument connector configured to detachably connect the biological signal measurement instrument; and an electrical conductor formed in the electrical insulator, the electrical conductor configured to electrically connect the electrode connectors to the instrument connector.

A first, second and third electrode, an electrode contact detection means configured to detect and output a state in which all of the electrodes are in contact with a surface of a measurement target, and control means configured to execute a measurement process of biological information, wherein the electrode contact detection means includes a bias power source configured to apply a voltage to each of the first electrode and the second electrode, a first comparator and a second comparator, and a contact state determination unit configured to determine whether all of the electrodes are in contact with the surface of the measurement target based on outputs of the first comparator and the second comparator, and the control means is configured to execute a process for opening the bias power source and executes the measurement process only when all electrodes are in contact with the surface of the measurement target.

A first, second and third electrode, an electrode contact detection means configured to detect and output a state in which all of the electrodes are in contact with a surface of a measurement target, and control means configured to execute a measurement process of biological information, wherein the electrode contact detection means includes a bias power source configured to apply a voltage to each of the first electrode and the second electrode, a first comparator and a second comparator, and a contact state determination unit configured to determine whether all of the electrodes are in contact with the surface of the measurement target based on outputs of the first comparator and the second comparator, and the control means is configured to execute a process for opening the bias power source and executes the measurement process only when all electrodes are in contact with the surface of the measurement target.