Patent classifications
A61B5/0452
Estimating distribution, fluctuation and/or movement of electrical activity through a heart tissue
A computer implemented method for processing measurement data from electrocardiogram, ECG, electrodes on a subject. The method includes obtaining a 3D anatomical model of the torso of the subject, and obtaining a 3D image of the torso of the subject. The three dimensional image is aligned with the three-dimensional model. A position of each electrode in the three-dimensional model is determined from the three dimensional image. The positions of the electrodes in the three dimensional model are used for estimating the distribution, fluctuation and/or movement of electrical activity through heart tissue.
Methods and systems of optimizing right ventricular only pacing for patients with respect to an atrial event and left ventricular event
Methods and systems of evaluating cardiac pacing in candidate patients for cardiac resynchronization therapy and cardiac resynchronization therapy patients are disclosed. The methods and systems disclosed allow treatments to be personalized to patients by measuring the extent of tissue capture from cardiac pacing under various therapy parameter conditions. Systems and methods of optimizing right ventricle only cardiac pacing are also disclosed.
PRECISION DIALYSIS MONITORING AND SYNCHONIZATION SYSTEM
A system and method for synchronizing patient medical parameters and dialysis parameters. The system and related method allow for the determination of the effect of dialysis on patient health. The invention also allows for the determination of whether observed patient health effects are due to specific dialysis parameters and for making necessary changes to the dialysis parameters in order to improve patient health.
LEADLESS PACING SYSTEM INCLUDING SENSING EXTENSION
A leadless pacing system includes a leadless pacing device and a sensing extension extending from a housing of the leadless pacing device. The sensing extension includes one or more electrodes with which the leadless pacing device may sense electrical cardiac activity. The one or more electrodes of the sensing extension may be carried by a self-supporting body that is configured to passively position the one or more electrodes proximate or within a chamber of the heart other than the chamber in which the LPD is implanted.
Non?invasive prediction of risk for sudden cardiac death
A method and apparatus for the quantitative determination of an individual's risk for sudden cardiac death (SCD) is described. Risk determination is accomplished and may have a sensitivity and specificity of greater than 95%, by generating linear and nonlinear mathematical digital ECG-constructed models from digital ECG-type data of an individual's digital ECG, determining stability/instability of digital ECG-constructed control model systems corresponding to the digital ECG-constructed models by a plurality of techniques and transforming stability/instability values obtained by the determining stability/instability into a quantitative value reflecting an individual's risk for SCD.
QRS offset and onset determination
The exemplary systems and methods may be configured to generate a dispersion signal from a plurality of cardiac signals and determine a QRS onset time value and a QRS offset time value from the plurality of cardiac signals. The QRS onset and offset time values may be used to measure, or capture, activation times.
Automatic measurement point correction method, automatic measurement point correction apparatus and computer readable medium storing automatic measurement point correction program
An automatic measurement point correction method includes acquiring vital signs information waveform data indicating a vital signs information waveform having a plurality of waveforms which periodically appear on a time axis, determining a plurality of measurement points for measuring a predetermined measurement item of each waveform included in the vital signs information waveform, causing the vital signs information waveform and measurement point displayers to be displayed on a displaying section, correcting a first measurement point for measuring the predetermined measurement item of a first waveform of the plurality of waveforms, as a first correction, recording the corrected first measurement point as a reference measurement point, extracting a waveform which is analogous to the first waveform, from the plurality of waveforms, and automatically correcting a measurement point for measuring the predetermined measurement item of the extracted waveform, as a second correction.
Biometric sensor and electronic device comprising the same
A sensor for sensing biometric information includes a light emitting unit that emits a first light ray, a light receiving unit that receives a second light ray, where the second light ray includes a portion of the first light ray reflected by a body of a user, and an optical layer placed over the light emitting unit and the light receiving unit. The optical layer has a first surface facing the light emitting unit and the light receiving unit and a second surface opposite the first surface. The optical layer further includes an asymmetrical protrusion structure formed on the first surface or the second surface and including a plurality of asymmetrical protrusion units. The optical layer may further include a symmetrical protrusion structure formed on the first surface or the second surface opposite the asymmetrical protrusion structure and including a plurality of symmetrical protrusion units.
Cardiac signal t-wave detection
An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine a representative signal based on the cardiac signal, the representative signal having a single polarity, and determine an end of a T-wave of the cardiac signal based on an area under the representative signal.
Methods and Systems for Identifying and Mapping Cardiac Activation Wavefronts
A map of cardiac activation wavefronts can be created from a plurality of mesh nodes, each of which is assigned a conduction velocity vector. Directed edges are defined to interconnect the mesh nodes, and weights are assigned to the directed edges, thereby creating a weighted directed conduction velocity graph. A user can select one or more points within the weighted directed conduction velocity graph (which do not necessarily correspond to nodes), and one or more cardiac activation wavefronts passing through these points can be identified using the weighted directed conduction velocity graph. The cardiac activation wavefronts can then be displayed on a graphical representation of the cardiac geometry.