Abstract: A method includes detecting whether one or more myocardial infarctions (MI) has occurred using vectorcardiographic (VCG) signals with gradient boosting, the VCG signals including VCG loops, and determining an MI location using the VCG signals and gradient boosting.

Abstract: A method for de-identifying a privacy-related region within an image, including steps of: (a) inputting an input image into a segmentation network to apply a segmentation operation to the input image and generate at least part of (i) each of region probabilities of each of the pixels being estimated as the privacy-related region and (ii) each of region sizes assigned to each of the pixels of the input image; and (b) (i) calculating each of standard deviations for each of the pixels of the input image by using at least part of each of the region probabilities and each of the region sizes, thereby generating each of region standard deviations and (ii) applying a de-identifying operation to each of the pixels of the input image by using each of the region standard deviations, to thereby de-identify the privacy-related region within the input image.

Abstract: An apparatus for the improvement of electrocardiogram visualization is disclosed. The apparatus includes at least a processor and a memory communicatively connected thereto. The memory instructs the processor to receive a plurality of electrocardiogram signals, wherein the plurality of electrocardiogram signals is generated using at least one sensor of a plurality of sensors connected to a patient, to receive at least one transformation matrix, and to transform the plurality of electrocardiogram signals into a cardiac vector as a function of the at least one transformation matrix. The memory instructs the processor to generate a vectorcardiogram image as a function of the cardiac vector, wherein the vectorcardiogram image comprises a representation of the cardiac vector in a three-dimensional (3D) space. The memory instructs the processor to assign at least one diagnostic label to the patient as a function of the vectorcardiogram image.

Abstract: A system for determining electrophysiological data comprising an electronic control unit configured to acquire electrophysiology signals from a plurality of electrodes (130) of one or more catheters, select at least one clique of electrodes from the plurality of electrodes (136) to determine a plurality of local E field data points, determine the location and orientation of the plurality of electrodes, process the electrophysiology signals from the at least one clique from a full set of bipole subcliques to derive the local E field data points associated with the at least one clique of electrodes, derive at least one orientation independent signal from the at least one clique of electrodes (138) from the information content corresponding to weighted parts of electrogram signals, and display or output catheter orientation independent electrophysiologic information to a user or process.

Abstract: The present invention discloses an RR interval ECG data distribution display method. The RR interval ECG data distribution display method includes: extracting an RR interval from a dynamic electrocardiogram, and dividing the RR interval according to the preset time interval to obtain N sub-RR intervals; obtaining the ECG data of the RR interval, wherein the ECG data includes at least two heartbeat types and the number of heartbeats corresponding to each of the heartbeat types; traversing the ECG data of each of the sub-RR intervals, and performing the cumulative summation operation on the number of heartbeats corresponding to the same heartbeat type to obtain the number of heartbeats of each heartbeat type in the N sub-RR intervals; and displaying the number of heartbeats of each heartbeat type and the heartbeat types in the N sub-RR intervals in the form of a distribution diagram.

Abstract: A method enables analysis of (e.g. bioelectric) signals acquired by measurement. The method provides N signals U for an observation space and each has a time- and space-dependent signal characteristic U. Digitized signals for a time period T have M time points and define an M×N matrix with M tuples of N signal values each. Signal values acquired at time t form an N-tuple ?t=(U1, . . . , UN)t in a signal space. The method acquires all combinations of k tuples from the M tuples, and calculates distances between all tuples. Distance values are calculated and define edge lengths of a (k?1) simplex (SIM) with one simplex assigned to each combination of k time points. Quantity characteristics of the simplex (SIM) are encoded into color values (COL), and displays the colors in a combinatorial time lattice (CTL). Each lattice point (GP) is displayed with the color encoded for the assigned simplex.

Abstract: The present disclosure describes cardiac mapping techniques that find particular use in assessing fibrillation, and which also improve the ability to correctly identify local activation time from signals in any rhythm.

Abstract: In embodiments, a wearable cardioverter defibrillator (WCD) system includes a support structure for wearing by an ambulatory patient. When worn, the support structure maintains electrodes on the patient's body. Different pairs of these electrodes define different channels, and different patient ECG signals can be sensed from the channels. The ECG signals can be analyzed to determine which one is the best to use, for the WCD system to make a shock/no shock decision. The analysis can be according to widths of the QRS complexes, consistency of the QRS complexes, or heart rate agreement statistics.

Abstract: A method, consisting of providing a metal wire having a wire diameter and an end, and positioning a conductor at a distance from the end of the wire. The method further includes creating an electrical discharge between the conductor and the end, while setting the distance and an electrical potential of the discharge, so as to create a bead of a predefined size on the end. The method also includes assembling the wire with the created bead into an invasive probe, so that the bead is positioned at an outer surface of the probe.

Abstract: A pacemaker having a motion sensor is configured to select an atrial event sensing vector of a multi-axis motion sensor for sensing atrial systolic events from a motion signal produced by the motion sensor. In some examples, the pacemaker determines a maximum amplitude during a sensing window for each one of multiple vector signals produced by the multi-axis motion sensor. The pacemaker may select the atrial event sensing vector signal from among the vector signals based on the determined maximum amplitudes.

Abstract: The present invention relates to a computer-implemented method for electrocardiogram analysis, the method comprising the steps of receiving at least one ECG signal; analyzing the ECG signal to provide features and/or identify at least one episode and/or event, wherein an episode is a segment of the ECG signal defined by a starting time, a duration and a label obtained during the analysis of the ECG signal and an event is a strip of the ECG signal of predefined duration defined by a starting time and a label obtained during the analysis of the ECG signal; and displaying a multiple field display (1) which includes at least a main plot (42), being a global view of a graphic representation of the ECG signal in a first time window; a local view of a graphic representation of the ECG signal in a second time window (51), where the first time window comprises the second time window; an intermediate view of a graphic representation of the ECG signal in a third time window (52), wherein the third time window comprises

Abstract: An electronic device and method are disclosed herein. The electronic device includes a housing, a first, second, third and fourth electrode coupled to the housing, a communication module, and a processor.

Abstract: A device for monitoring battery cells of a battery string under load condition. The device has differential voltage units for each battery cell, wherein a band-pass filter is arranged downstream of each differential voltage unit, wherein the band-pass filters are connected to rectifier circuits with a smoothing circuit arranged downstream, and wherein the device is designed so the output signals of the smoothing circuits are supplied to an evaluation unit and are compared for deviations in relation to a standardized output signal.

Abstract: The present disclosure provides a biomagnetic field sensor system for diagnostic evaluation of a cardiac condition of an individual. The biomagnetic field sensor system may comprise an array of biomagnetic field sensors configured to sense an electromagnetic field associated with a heart of the individual and generate electromagnetic field data therefrom; a computer processor coupled to the array of biomagnetic field sensors; a memory configured to store the electromagnetic field data generated by the array of biomagnetic field sensors; and a non-transitory computer-readable medium encoded with a computer program including instructions that, when executed by the computer processor, cause the computer processor to receive the electromagnetic field data, and generate a diagnostic evaluation of a cardiac condition of the individual based at least in part on an analysis of the electromagnetic field data.

Abstract: A physiological sensor device and system, and a correction method are provided. The physiological sensor device includes a physiological signal sensor, a first compensation sensor, and a signal processing device. The physiological signal sensor is attached to an object to be detected to sense a physiological signal value. The first compensation sensor is disposed on the physiological signal sensor. The signal processing device is coupled to the physiological signal sensor and the first compensation sensor. The signal processing device obtains through the first compensation sensor a failure region of the physiological signal sensor partially detached from the object to be detected and obtains a first failure compensation value according to the failure region, so as to compensate the physiological signal value sensed by the physiological signal sensor.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: An extra-cardiovascular implantable cardioverter defibrillator 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 in response to each sensed R-wave. The ICD determines intervals between successively sensed R-waves and, in response to at least a predetermined number of the intervals being less than a tachyarrhythmia detection interval, analyzes at least a portion of the time segment of the second cardiac electrical signal corresponding to a most recent one of the sensed R-waves to confirm the most recent one of the R-waves. The ICD updates an unconfirmed beat count in response to the most recent one of the R-waves not being confirmed and withholds detection of a tachyarrhythmia episode in response to the unconfirmed beat count being equal to or greater than a rejection threshold.

Abstract: An implantable medical device system capable of sensing cardiac electrical signals includes a sensing circuit, a therapy delivery circuit and a control circuit. The sensing circuit is configured to receive a cardiac electrical signal and sense a cardiac event in response to the signal crossing a cardiac event sensing threshold. The therapy delivery circuit is configured to deliver an electrical stimulation therapy to a patient's heart via the electrodes coupled to the implantable medical device. The control circuit is configured to control the sensing circuit to set a starting value of the cardiac event sensing threshold and hold the starting value constant for a sense delay interval. The control circuit is further configured to detect an arrhythmia based on cardiac events sensed by the sensing circuit and control the therapy delivery circuit to deliver the electrical stimulation therapy in response to detecting the arrhythmia.

Abstract: An intracardiac ventricular pacemaker having a motion sensor is configured to produce a motion signal including an atrial systolic event and a ventricular diastolic event indicating a passive ventricular filling phase, set a detection threshold to a first amplitude during an expected time interval of the ventricular diastolic event and to a second amplitude lower than the first amplitude after an expected time interval of the ventricular diastolic event. The pacemaker is configured to detect the atrial systolic event in response to the motion signal crossing the detection threshold and set an atrioventricular pacing interval in response to detecting the atrial systolic event.

Abstract: Registration of catheter-sensed intrabody voltage field measurements obtained along one or more tracks of catheter advance of withdrawal is made, in some embodiments, to reference voltage field measurements lying along predetermined tracks. Tracks optionally comprise the course of a blood vessel such as the superior or inferior vena cava, a path defined and/or limited by encounters with a wall of a heart chamber and/or apertures thereof, and/or another track of catheter motion. In some embodiments, transform parameters are propagated to regions away from the track, potentially allowing more rapid acquisition of targets.

Abstract: Devices, systems, and methods for measuring and monitoring biometric or physiological parameters in a user-friendly and convenient manner are disclosed. Relevant physiological parameters of the user may be measured as the user normally operates a computing device or other hand-operated or hand-held device. These parameters are measured using an accessory of the device such as a laptop case, a tablet computer case, a smartphone case, or a smart watch or smart armband. The accessory may include at least two or three electrodes for taking an electrocardiogram or other physiological parameters. The measured parameters are transmitted to the computing device. The computing device can be normally used while a physiological parameter monitoring and measurement application loaded onto the computing device operates in the background to receive the measured parameters.

Abstract: Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration.

Abstract: A system includes a sensor configured to sense first and second physiological signals produced by a source; and a processing device communicatively coupled to the sensor. The processing device is configured to: receive the first and second physiological signals; determine a first value of a signal characteristic; determine a second value of the signal characteristic; access a scaling map having scaling vectors, and each scaling vector having at least one signal characteristic correction value; determine a scaled first value and a scaled second value based on a first scaling vector and a second scaling vector, respectively; and predict a physiological event based on the scaled first value of the signal characteristic and the scaled second value of the signal characteristic.

Abstract: Described embodiments include a system that includes an electrical interface and a processor. The processor is configured to receive, via the electrical interface, an electrocardiographic signal from an electrode within a heart of a subject, to ascertain a location of the electrode in a coordinate system of a computerized model of a surface of the heart, to select portions of the model responsively to the ascertained location, such that the selected portions are interspersed with other, unselected portions of the model, and to display the model such that the selected portions, but not the unselected portions, are marked to indicate a property of the signal. Other embodiments are also described.

Abstract: The present disclosure generally relates to systems and methods and systems of a noninvasive technique for characterizing cardiac chamber size and cardiac mechanical function. A mathematical analysis of three-dimensional (3D) high resolution data may be used to estimate chamber size and cardiac mechanical function. For example, high-resolution mammalian signals are analyzed across multiple leads, as 3D orthogonal (X,Y,Z), or 10-channel data, for 30 to 800 seconds, to derive estimates of cardiac chamber size and cardiac mechanical function. Multiple mathematical approaches may be used to analyze the dynamical and geometrical properties of the data.

Abstract: A method includes receiving an anatomical map of at least a portion of a heart. Positions and respective electrocardiogram (ECG) signal amplitudes measured at the positions are received for at least a region of the anatomical map. The ECG signal amplitudes are interpolated to derive a surface representation of the ECG signal amplitudes over the region. The surface representation of the ECG signal amplitudes is presented overlaid on the anatomical map.

Abstract: [Problem] To provide means by which sleep states can be measured, observed, or evaluated easily. [Solution] A sleep state measurement device that includes a phase coherence calculating means for calculating phase coherence on the basis of the instantaneous phase difference between the instantaneous phase of heart rate variability acquired from a sleeping animal and the instantaneous phase of the breathing pattern of the animal for the same time series as the heart rate variability.

Abstract: In one embodiment, a signal processing apparatus includes a storage circuit and processing circuitry configured to (a) generate detection parameters for detecting a specific signal included in a biosignal relevant to a heartbeat, based on a waveform of the biosignal, (b) store the detection parameters in the storage circuit, (c) detect the specific signal by using the detection parameters, and (d) generate a synchronization signal for performing heartbeat synchronization imaging based on the specific signal.

Abstract: An electrocardiogram (ECG) processor is disclosed. The ECG processor includes ECG sampling circuitry configured in a first mode to acquire a continuous ECG sample set from an ECG signal by digitally sampling the ECG signal at a Nyquist rate for a first predetermined number of heartbeats and in a second mode to acquire a non-continuous ECG sample set from the ECG signal for a second predetermined number of heartbeats by digitally sampling active regions of the ECG signal that contain a PQRST complex and not from silent regions between adjacent PQRST complexes. The ECG processor also includes processing circuitry configured to determine from the continuous ECG sample set relative locations of the active regions and provide the relative locations of the active regions to the ECG sampling circuitry for sampling the ECG signal in the second mode.

Abstract: Computer implemented methods and systems for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a far field cardiac activity (CA) data set that includes far field CA signals for beats. The method applies a feature enhancement function to the CA signals to form an enhanced feature in the CA data set. The method calculates an adaptive sensitivity level and sensitivity limit based on the enhanced feature from one or more beats within the CA data set and automatically iteratively analyzes a beat segment of interest by comparing the beat segment of interest to the current sensitivity level to determine whether one or more R-waves are present within the beat segment of interest.

Abstract: A system and method of identifying focal sources is presented. The method can comprise detecting, via sensors, electro-cardiogram (ECG) signals over time, each ECG signal detected via one of the sensors having a location in a heart and indicating electrical activity of the heart, each signal comprising at least an R wave and an S wave; creating an R-S map comprising an R-to-S ratio for each of the ECG signals, the R-to-S ratio comprising a ratio of absolute magnitude of the R wave to absolute magnitude of the S wave; identifying, for each of the ECG signals, local activation times (LATs); and correlating the R-to-S ratios for the ECG signals on the R-S map and the identified LATs and using the correlation to identify the focal sources.

Abstract: An ECG controller for an ECG device is connectable to a base ECG lead system (e.g., a 12-lead system) whereby the ECG controller implements an ECG waveform morphology based and ECG lead redundancy based detection and classification of any cable interchange (e.g., a limb cable interchange or a precordial cable interchange) between the ECG controller and the base ECG lead system. Alternatively, the ECG controller is further connectable to a sub-base ECG lead system (e.g., a limb only-lead system or a limited precordial-lead system) whereby the ECG controller implements an ECG waveform morphology based detection and classification of any cable interchange (e.g., a limb cable interchange or a precordial cable interchange) between the electrode interface and the sub-base ECG lead system.

Abstract: The present invention discloses a method for noninvasive imaging of cardiac electrophysiological based on low rank and sparse constraints. This method decomposes the spatio-temporal distribution of endocardial and epicardial potentials into a low-rank matrix representing smooth potential components and a sparse matrix representing the details of potential salience according to the prior condition of spatio-temporal correlation of the endocardial and epicardial potential distribution of the heart. By introducing low rank and sparse constraints, the solution of the ill-conditioned inverse problem of ECG is constrained to the unique optimal solution. The invention combines the individualized three-dimensional heart model of the subject to obtain a three-dimensional dynamic distribution image of the cardiac endocardial and epicardial potential of the subject, which has important practical application value.

Abstract: Disclosed herein are methods, systems, and devices for identifying increased likelihood of non-ST elevation myocardial infarction (NSTEMI) in a patient based on ECG data. The methods can include determining based on the ECG data that the patient lacks ST elevation (STE) and that the patient exhibits a ventricular repolarization dispersion (VRD) score that exceeds a predetermined threshold value. The VRD score can be based in part on a T wave complexity ratio that serves as a temporal marker of VRD for the patient. Other markers of spatial and time qualities of repolarization can also be included in the VRD score. An elevated VRD score in the absence of STE can indicate a likelihood of NSTEMI in the patient and a potential major adverse cardiac event.

Abstract: A method for vector analysis of an electrocardiogram for assessment of risk of sudden cardiac death includes receiving data about electrical activity of heart of a subject recorded on electrocardiogram device, generating a vector cardiogram based on the data, analyzing the vector cardiogram to determine arrhythmogenic right ventricular dys-plasia/cardiomyopathy to identify a presence of a micro-scar in a three-dimensional vector loop of the vector cardiogram, determining a risk of SCD for the subject based on the identification of the presence of a micro-scar, and storing the risk in a database.

Abstract: A method of atrial rotational activity pattern (RAP) source detection is provided which includes detecting, via a plurality of sensors, electro-cardiogram (ECG) signals over time, each ECG signal detected via one of the plurality of sensors and indicating electrical activity of a heart. The method also includes determining, for each of the plurality of ECG signals, one or more local activation times (LATs) each indicating a time of activation of a corresponding ECG signal. The method further includes detecting whether one or more RAP source areas of activation in the heart is indicated based on the detected ECG signals and the one or more local LATs. Mapping information of the detected RAP source areas of activation in the heart is also generated for providing one or more maps.

Abstract: A method of atrial focal source detection is provided which includes detecting, via sensors, electro-cardiogram (ECG) signals over time. Each ECG signal is detected via one of the sensors and indicates electrical activity of a heart. The method also includes determining, for each ECG signal, local activation times (LATs) each indicating a time of one of a plurality of atrial activations of a corresponding ECG signal and detecting whether one or more focal source areas of activation in the heart is indicated based on the detected ECG signals and the one or more local LATs. S-waves can be distinguished from non-S-waves by generating models for each atrial activation and classifying atrial activations. Maps can be generated by visually indicating, for each sensor, a level of incidence of the atrial activations occurring before atrial activations of neighboring sensors within a period of time.

Abstract: Brugada syndrome and related forms of ion channelopathies, including ventricular asynchrony of contraction, originate in the region near the His bundle or para-Hisian regions of the heart. Manifestations of Brugada syndrome can be corrected by delivering endocardial electrical stimulation coincident to the activation wave front propagated from the atrioventricular (AV) nodeearly enough to compensate for the conduction problems that start in those region. The stimulation can include waveforms of the same polarity delivered to a site within the region near the His bundle or para-Hisian regions of the heart associated with a low cardiac electrical asynchrony level or can include at least two single-phased superimposed waveforms of opposite polarity delivered through a pair of pacing electrodes relative to a reference electrode, which can be delivered to any site within the region near the His bundle or para-Hisian regions of the heart.

Abstract: An implantable medical device system capable of sensing cardiac electrical signals includes a sensing circuit, a therapy delivery circuit and a control circuit. The sensing circuit is configured to receive a cardiac electrical signal and sense a cardiac event in response to the signal crossing a cardiac event sensing threshold. The therapy delivery circuit is configured to deliver an electrical stimulation therapy to a patient's heart via the electrodes coupled to the implantable medical device. The control circuit is configured to control the sensing circuit to set a starting value of the cardiac event sensing threshold and hold the starting value constant for a sense delay interval. The control circuit is further configured to detect an arrhythmia based on cardiac events sensed by the sensing circuit and control the therapy delivery circuit to deliver the electrical stimulation therapy in response to detecting the arrhythmia.

Abstract: A system for facilitating resuscitation includes: a first electrode assembly having a therapy side and a first motion sensor; a second electrode assembly having a therapy side and a second motion sensor; processing circuitry operatively connected to and programmed to receive and process signals from the first and second motion sensors to estimate at least one of a chest compression depth and rate during administration of chest compressions and to compare the chest compression depth or rate to a desired range; and an output device for providing instructions to a user to administer chest compressions based on the comparison of the estimated chest compression depth or rate to the desired range. One or both of the electrode assemblies may be constructed so that the conductive therapeutic portion is able to maintain substantial conformance to the anatomy of the patient when coupled thereto.

Abstract: Methods and systems for evaluating the electrical activity of the heart to identify novel ECG patterns closely linked to the subsequent development of serious heart rhythm disturbances and fatal cardiac events. Two approaches are describe, for example a model-based analysis and space-time analysis, which are used to study the dynamical and geometrical properties of the ECG data. In the first a model is derived using a modified Matching Pursuit (MMP) algorithm. Various metrics and subspaces are extracted to characterize the risk for serious heart rhythm disturbances, sudden cardiac death, other modes of death, and all-cause mortality linked to different electrical abnormalities of the heart. In the second method, space-time domain is divided into a number of regions (e.g., 12 regions), the density of the ECG signal is computed in each region and input to a learning algorithm to associate them with these events.

Abstract: Brugada syndrome and related forms of ion channelopathies, including ventricular asynchrony of contraction, originate in the region near the His bundle or para-Hisian regions of the heart. Manifestations of Brugada syndrome can be corrected by delivering endocardial electrical stimulation coincident to the activation wave front propagated from the atrioventricular (AV) node. By performing the start of the activation of the HIS bundle or para-Hisian region early enough, electrical stimulation can be delivered fast enough to compensate for the conduction problems that start in those region, such that the activation wave front, as stimulated, transitions from the AV node to the His bundle in a normal, albeit electrically-supplemented, fashion. This stimulation not only helps resolve the conditions that trigger Brugada syndrome, but also resolves the asynchrony of the contraction of the heart.

Abstract: An intracardiac ventricular pacemaker having a motion sensor is configured to produce a motion signal including an atrial systolic event and at least one ventricular diastolic event. The pacemaker is configured to set an atrial refractory period, detect a change in a ventricular diastolic event metric and adjust the atrial refractory period in response to detecting the change. The pacemaker sets set an atrioventricular pacing interval in response to detecting the atrial systolic event from the motion signal after expiration of the atrial refractory period.

Abstract: A method and system for use with an implantable medical device for subcutaneous implant within a patient to determine a likelihood of the patient experiencing a cardiac event that includes sensing a cardiac signal along a plurality of different sensing vectors, determining state information of each vector of the plurality of sensing vectors, determining a cross correlation of the determined state information of each vector of the plurality of sensing vectors, comparing the cross correlation of the determined state information of each vector of the plurality of sensing vectors to a threshold, and detecting the cardiac event in response to the comparing.

Abstract: Disclosed herein is a framework for facilitating patient signal analysis based on vector analysis. In accordance with one aspect, a set of vectors is generated from a patient signal data waveform. The vectors may be directed from a common center to points of interest on the patient signal data waveform. The framework may further extract one or more vector parameters from the set of vectors, and determine one or more vector ratios based on the vector parameters to monitor changes in the patient signal data waveform.

Abstract: Methods and apparatuses, including devices and systems, for remote and detection and/or diagnosis of acute myocardial infarction (AMI). In particular, described herein are handheld devices having an electrode configuration capable of recording three orthogonal ECG lead signals in an orientation-specific manner, and transmitting these signals to a processor. The processor may be remote or local, and it may automatically or semi-automatically detect AMI, atrial fibrillation or other heart disorders based on the analyses of the deviation of the recorded 3 cardiac signals with respect to previously stored baseline recordings.

Abstract: Based on heart behavior data, a computation unit determines a first time step at which a heart exhibits a first behavior in response to a first wave of an electrical signal, as well as a second time step at which the heart exhibits a second behavior in response to a second wave of the same. The computation unit reproduces the heart's behavior over time by updating a three-dimensional model of the heart according to the heart behavior data, simultaneously with variations in electrical signal strength over time according to electrocardiogram data. The computation unit coordinates this reproduction such that a first shape of the heart at the first time is reproduced step simultaneously with the first wave of the electrical signal, and such that a second shape of the heart at the second time step is reproduced simultaneously with the second wave of the electrical signal.

Abstract: The present disclosure generally relates to systems and method of a noninvasive electrocardiographic (ECG) technique for characterizing cardiac chamber size and cardiac mechanical function. A mathematical analysis of three-dimensional (3D) high resolution ECG data may be used to estimate chamber size and cardiac mechanical function. For example, high-resolution mammalian ECG signals are analyzed across multiple leads, as 3D orthogonal (X,Y,Z) or 10-channel data for 30 to 1400 seconds to derive estimates of cardiac chamber size and cardiac mechanical function. Multiple mathematical approaches may be used to analyze the dynamical and geometrical properties of the ECG data.

Abstract: The present invention relates to a system (100) for increasing a degree of relaxation of a person (10) using biofeedback. The system (100) comprises a first physiological parameter determining unit (20) for determining a first physiological parameter of the person (10), a reference parameter providing unit (60) for providing a reference parameter, a correlation determining unit (30) for determining a degree of correlation between the first physiological parameter and the reference parameter and a controller (40) for determining a control information based on the determined degree of correlation for controlling a light source unit (50), wherein in a mode of operation of the system the control information is adapted to control the light source unit (50) by dimming the light source unit and/or changing the color of the light from the light source unit to warmer color tones having a lower color temperature when the degree of correlation increases.

Abstract: A method and system for a user interface for artifact removal in an EEG is disclosed herein. The invention allows an operator to select a plurality of artifacts to be automatically removed from an EEG recording using a user interface. The operator pushes a button on the user interface to apply a plurality of filters to remove the plurality of artifacts from the EEG and generate a clean EEG for viewing.