The present disclosure includes an electromagnetic field detection and monitoring system. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions.

Systems are provided for assessing the likelihood that a sample of cardiac tissue will spontaneously exhibit disordered electrical activity. These systems induce ventricular tachycardia or other disordered electrical activity in a sample of human and/or animal cardiac tissue either in vivo or in vitro. This system can be used to assess the ability of various pharmaceuticals, genetic modifications, electrical pacing, surgical ablation, or other therapeutic interventions to prevent or halt such disordered electrical activity. This system detects electrical activity from a plurality of points on the surface of the sample of cardiac tissue and generates one or more maps of monophasic action potential amplitude, monophasic action potential duration, local field amplitude, or other electrophysiological parameters of the cardiac tissue. These maps are then used to assess the likelihood that the sample will spontaneously exhibit disordered electrical activity and/or to assess the effect of a therapeutic intervention on that likelihood.

A method includes receiving an input mesh representation of a cardiac chamber, a set of measured locations on a wall tissue of the cardiac chamber, and a respective set of local activation times (LATs) measured at the locations. The input mesh is re-meshed into a regular mesh including regularized polygons. The set of measured locations and respective LATs is data fitted to the regularized polygons. Respective LAT values are iteratively calculated for the regularized polygons, so as to obtain a cyclic EP activation wave solution over the regular mesh that take account of reentry of an EP wave. An electroanatomical map including the cyclic EP activation wave overlaid on the regular mesh is presented.

A method includes receiving, in a processor, a two-dimensional (2D) electroanatomical (EA) map of an interior surface of at least a portion of a cavity of an organ of a patient, the 2D EA map including electrophysiological (EP) values measured at respective locations on the interior surface. A complex analytic function is fitted to a set of the EP values that were measured in a given region of the 2D EA map. A singularity is identified in the fitted complex analytic function. The region is projected onto a three-dimensional (3D) EA map of the interior surface. At least part of the 3D E A map is presented to a user, including indicating an arrhythmogenic EP activity at a location on the 3D E A map corresponding to the singularity identified in the fitted complex analytic function.

Systems and methods for classifying a cardiac arrhythmia are discussed. An exemplary system includes a correlator circuit to generate autocorrelation sequences using information of cardiac activity of a subject, including signal segments taken from a cardiac signal at respective elapsed time with respect to reference time. The correlator circuit can generate a correlation image using the autocorrelation sequences. The correlation image may be constructed by stacking the autocorrelation sequences according to the elapsed time of signal segments. An arrhythmia classifier circuit can classify the cardiac activity of the subject as one of arrhythmia types using the correlation image.

An implantable rechargeable telemetry device (IRTD) for injection into a subject comprising: an ECG monitor in electrical communication with an electrode and adapted for collecting ECG data of a subject, a rechargeable battery adapted for powering the IRTD; and a wireless charging receiver adapted to receive charging current from a charging device to recharge the battery, wherein the collected ECG data is continuously monitored ECG data and wherein the IRTD further comprises a wireless communication device adapted for continuous transmission of the collected continuously monitored ECG data to an external computing device.

Improved mapping and ablation procedures and corresponding devices are provided. A variety of methods and apparatuses can be used for the treatment of cardiac arrhythmias by identifying the location of an arrhythmia source and ablating that source. The methods and apparatuses can provide an improved means of electrical mapping of the heart to identify the location of the arrhythmia source and advancing an ablation electrode to that location so that it may be ablated.

Apparatus for automatically determining which type of resuscitation treatment is most appropriate for a patient. The apparatus comprising at least one processor, circuitry for delivering time-domain signal measurements to the processor(s), which transforms the time-domain signal measurements into frequency domain data representative of a frequency content of the time-domain signal measurements, processes the frequency domain data to form a plurality of spectral bands, a content of each of the plurality of spectral bands representing the frequency content of the time-domain signal measurements within a different frequency band, form a weighted sum of the content of the plurality of spectral bands, with different weighting coefficients applied to the plurality of spectral bands, wherein magnitudes of the weighting coefficients are non-linearly proportional to frequencies of the plurality of spectral bands to which the weighting coefficients are applied, and determines the type of resuscitation treatment based on the weighted sum.

A medical device, such as an extra-cardiovascular implantable cardioverter defibrillator (ICD), senses R-waves from a first cardiac electrical signal by a first sensing channel and stores a time segment of a second cardiac electrical signal acquired by a second sensing channel in response to each sensed R-wave. The ICD determines morphology match scores from the stored time segments of the second cardiac electrical signal and, based on the morphology match scores, withholds detection of a tachyarrhythmia episode. In some examples, the ICD detects T-wave oversensing based on the morphology match scores and withholds detection of a tachyarrhythmia episode in response to detecting the T-wave oversensing.

A system and method for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders is provided. ECG data is obtained via an electrocardiography monitor shaped for placement on a patient's chest. The ECG data is divided into segments and noise detection analysis is applied to the ECG data segments. A noise classification or a valid classification is assigned to each segment of the ECG data. At least one ECG data segment assigned the noise classification and that includes ECG data that corresponds with feedback from the patient via the electrocardiography monitor is identified. The ECG data that corresponds with the patient feedback is removed from the identified ECG data segment with the noise classification. The ECG data segments assigned the noise classification are removed from further analysis.