Abstract: A method, system, and device for detection of an arrhythmia, and discrimination between different types of arrhythmia, for example to determine whether to administer an electric shock to the heart, the device comprising a wearable monitor with electrodes that detect the electrical activity of a beating heart, attached to an embedded monitoring system having an amplifier, a microprocessor, a data storage device, and a power supply, all disposed on a substrate having large distal end portions that attach to the electrodes and a narrow intermediate portion that attaches to the monitoring system.

Abstract: A method for identifying oversensing in implantable medical devices (IMDs), such as implantable cardioverter defibrillators (ICDs), is described. A near-field electrogram signal and a far-field electrogram signal are obtained via a near-field electrode pair and a far-field electrode pair. The near-field electrogram signal is compared to the far-field electrogram signal and a determination of whether oversensing exists is made based on the comparison. In some instances, a scheduled therapy is withheld in response to determining that oversensing exists.

Abstract: The present technology describes various embodiments of systems and methods for analyzing electrocardiograms to detect ventricular fibrillation. In several embodiments, systems for detecting ventricular fibrillation can be implemented without interrupting cardiopulmonary resuscitation. In one embodiment, a method of identifying a cardiac rhythm in a person includes recording an electrocardiogram signal of the person and stratifying the signal. A signal having a parameter value within a pre-determined range is categorized as a shockable ventricular fibrillation signal while a signal having a parameter value outside the pre-determined range is categorized as a non-shockable signal.

Abstract: This disclosure is directed toward techniques for classifying a tachycardia as supraventricular tachycardia or ventricular tachycardia. A method comprises detecting a tachycardia based on at least one value of a cardiac interval, delivering vagal stimulation in response to the detection of the tachycardia, sensing a physiological parameter other than the cardiac interval during or subsequent to delivering the vagal stimulation, and classifying the tachycardia as supraventricular or ventricular based on the sensed physiological parameter. In some examples, the method includes sensing a response of a physiological parameter other than cardiac rate to the vagal stimulation, such as pressure or a morphological characteristic of the cardiac electrical waveform. The method may include providing an indication to a user based on the classification of supraventricular tachycardia, or delivery of appropriate electrical therapy based on the classification of ventricular tachycardia or ventricular fibrillation.

Abstract: Methods and systems for determining optimal spatial resolution for mapping cardiac fibrillation in a patient, including obtaining one or more electrograms, having an initial spatial resolution; calculating at least one electrogram frequency; obtaining one or more electrograms, having a higher spatial resolution; calculating at least one electrogram frequency, having a higher spatial resolution; comparing at least one electrogram frequency having a higher spatial resolution with at least one electrogram frequency having an initial spatial resolution; iterating the steps above until the electrogram frequencies of the two compared electrograms are the same; and identifying at least one of minimum spatial resolution threshold and an optimal spatial resolution based on the step of comparing.

Abstract: Systems and devices to gather data from a subject's heart, analyze said data to determine whether the subject is experiencing cardiac arrhythmia, and display results of said determining. Use, and display of cardiac condition information, are preferably simple and unambiguous to untrained users.

Abstract: The present disclosure is directed to the classification of cardiac episodes using an algorithm. In various examples, an episode classification algorithm evaluates electrogram signal data from a near-field channel and a far-field channel. The episode classification algorithm classifies the cardiac episode based on the evaluation of the electrogram signal data for at least one of the near-field and far-field channels. In some examples, a cardiac episode being classified may be an episode that resulted in treatment being provided by an implantable medical device. Possible classifications of the cardiac episode may include, for example, unknown, inappropriate, appropriate, supraventricular tachycardia, ventricular tachycardia, ventricular fibrillation or ventricular over-sensing.

Abstract: An implantable medical device senses a plurality of electrograms from substantially different atrial locations, detects regional depolarizations from the electrograms, and analyzes timing relationships among the regional depolarizations. The timing relationships provide a basis for effective therapy control and/or prognosis of certain cardiac disorders. In one embodiment, an atrial activation sequence is mapped to show the order of occurrences of the regional depolarizations during an atrial depolarization for classifying a detected tachyarrhythmia by its origin. In another embodiment, conduction time between two atrial locations is measured for monitoring the development of an abnormal atrial conditions and/or the effect of a therapy.

Abstract: One or more embodiments of the present disclosure relates to a method and/or system for classifying and/or treating heart rhythms. The present disclosure involves sensing electrical signals associated with depolarizations of a patient's heart. The sensed electrical signals are converted to digital values and storing the digital values. Normalizing solely a maximum and a minimum value of the stored digital values associated with a depolarization of the patient's heart without normalizing other stored digital values of the depolarization is another aspect of the present disclosure. The maximum and minimum values associated with the depolarization are compared to maximum and minimum values associated with a template derived from signals indicative of a heart depolarization of known type. A determination is made as to whether a match exists between the maximum and minimum values associated with the depolarization to the maximum and minimum values associated with a template.

Abstract: Methods of generating an extended cluster are disclosed. A first cluster including data representative of a first signal indicative of an abnormal physiological symptom is generated. A second signal is detected as representing a second abnormal physiological symptom and the second abnormal physiological symptom continues after the first abnormal physiological symptom ends. An extended cluster including the data from the first signal and the second signal is generated that extends from the time when the first abnormal physiological symptom occurs to the time when the second abnormal physiological symptom ends. The first and the extended cluster may include data of both the first and second signals the entire period of the clusters. If desired, the first signal or the second signal may be provided from a sensor implanted in a patient's brain tissue.

Abstract: The technology disclosed herein generally relates to a method for providing an index disorder in automated patient care. A set of device measures is stored in a database. Quantitative health care data indicators in the database are provided, where the indicators were regularly recorded by a medical device for a patient under automated patient care. Collected device measures are retrieved with a processor. An index disorder is identified through derived measure determination and statistical calculation with a processor.

Abstract: Methods and systems for automatic detection of Atrial Fibrillation (AF) are disclosed. The methods and systems use time-varying coherence functions (TVCF) to detect AF. The TVCF is estimated by the multiplication of two time-varying transfer functions (TVTFs).

Abstract: In an implantable medical device such as an implantable cardiac defibrillator, and a method for classifying arrhythmia events, IEGM signals are analyzed to detect an arrhythmia event and a respiratory pattern of the patient is sensed. At least one respiratory parameter reflecting characteristics of the respiratory pattern of the patient is determined based on the sensed respiratory pattern and a respiratory measure corresponding to a change of a rate of change of the at least one respiratory parameter is calculated. The detected arrhythmia event is classified based on the respiratory measure and the IEGM signals, wherein arrhythmia events that satisfy at least a first criterion is classified as an arrhythmia event requiring therapy.

Abstract: The present disclosure is directed to generating and displaying an electrogram (EGM) summary for use by physicians or other clinicians. An implantable medical device (IMD) transmits EGM signal data for a number of cardiac episodes to an external computing device. The external computing device selects a subset of the cardiac episodes for which information or images are displayed to the user. In various examples, cardiac episodes may be selected for display based at least in part on a retrospective analysis classification of the cardiac episode.

Abstract: Disclosed herein are various embodiments of methods, systems and devices for detecting atrial fibrillation (AF) in a patient. According to one embodiment, a patient places his or her left and right hands around left and right electrodes and a hand-held atrial fibrillation detection device acquires an electrocardiogram (ECG) from the patient over a predetermined period of time such as, by way of example, one minute. After acquiring the ECG from the patient, the device processes and analyzes the ECG and makes a determination of whether the patient has AF. The device may further be configured to provide a visual or audio indication of whether the patient has AF, or does not have AF. The device may be employed in a health care provider's office without the need for complicated or expensive diagnostic equipment, and is capable of providing an on-the-spot and low-cost diagnosis of AF.

Abstract: A resuscitation system that includes at least two defibrillation electrodes configured to be applied to the exterior of the chest of a patient for delivering a defibrillation shock, a source of one or more ECG signals from the patient, a defibrillation circuit for delivering a defibrillation shock to the defibrillation electrodes, a control box that receives and processes the ECG signals to determine whether a defibrillation shock should be delivered or whether CPR should be performed, and that issues instructions to the user either to deliver a defibrillation shock or to perform CPR, wherein the determination of whether CPR should be performed and the instructions to perform CPR can occur at substantially any point during a rescue. The control box may include a user operable control for initiating delivery of a defibrillation shock, and the instructions to deliver a defibrillation shock include instructions to activate the user operable control.

Abstract: A method discriminates between ventricular arrhythmia and supraventricular arrhythmia by determining the direction of an electrical signal conducted through the atrioventricular node. An implantable cardiac defibrillator provides atrioventricular and ventriculoatrial pacing bursts to determine if an arrhythmia with a 1:1 atrial to ventricular relationship is due to ventricular tachycardia or supraventricular tachycardia. This discrimination capability reduces the incidence of inappropriate shocks from dual-chamber implantable cardiac defibrillators to near zero and provides a method to differentially diagnose supraventricular tachycardia from ventricular tachycardia.

Abstract: A wireless system for brain monitoring/mapping of neurological-disorder patients includes a plurality of electrodes each configured for surface abutment of brain tissue and main circuitry for placement outside a body of a patient and configured to transmit power at radio frequencies and send and receive data using infrared energy. Remote circuitry is provided for subcutaneous implantation in a head of the patient. The remote circuitry is connected to the plurality of electrodes and includes a multiplexer sampling signals from the plurality of electrodes. The multiplexer outputs electrode signals to an amplifier and A/D converter for transmission to the main circuitry. The remote circuitry is configured to (a) receive transmitted power at radio frequencies from the main circuitry, (b) capture and digitize full-bandwidth EEG signals from each of the electrodes, and (c) send data to and receive data from the main circuitry using infrared energy.

Abstract: Embodiments of the invention provide methods for the detection and treatment of atrial fibrillation (AF) and related conditions. One embodiment provides a method comprising measuring electrical activity of the heart using electrodes arranged on the heart surface to define an area for detecting aberrant electrical activity (AEA) and then using the measured electrical activity (MEA) to detect foci of AEA causing AF. A pacing signal may then be sent to the foci to prevent AF onset. Atrial wall motion characteristics (WMC) may be sensed using an accelerometer placed on the heart and used with MEA to detect AF. The WMC may be used to monitor effectiveness of the pacing signal in preventing AF and/or returning the heart to normal sinus rhythm (NSR). Also, upon AF detection, a cardioversion signal may be sent to the atria using the electrodes to depolorize an atrial area causing AF and return the heart to NSR.

Abstract: A cardiac rhythm management (CRM) system delivers anti-tachyarrhythmia therapies and uses patient-specific and/or tachyarrhythmia event-specific information to automatically set and adjust one or more arrhythmia detection durations. In one embodiment, the CRM system initializes and updates the one or more arrhythmia detection durations using patient-specific information such as medical history and recent medical trends. In another embodiment, the CRM dynamically adjusts the one or more arrhythmia detection durations using the patient's hemodynamic performance. One example of such an arrhythmia detection duration is a sustained rate duration (SRD) that starts when a tachyarrhythmia such as a supraventricular tachyarrhythmia is detected. An anti-tachyarrhythmia therapy is delivered only if the tachyarrhythmia sustains throughout the SRD.

Abstract: Apparatuses and methods for extracting, de-noising, and analyzing electrocardiogram signals. Any of the apparatuses described herein may be implemented as a (or as part of a) computerized system. For example, described herein are apparatuses and methods of using them or performing the methods, for extracting and/or de-noising ECG signals from a starting signal. Also described herein are apparatuses and methods for analyzing an ECG signal, for example, to generate one or more indicators or markers of cardiac fitness, including in particular indicators of atrial fibrillation. Described herein are apparatuses and method for determining if a patient is experiencing a cardiac event, such as an arrhythmia.

Abstract: To provide a fibrillation detector and a defibrillator that are capable of correctly detecting within a short time a ventricular fibrillation (VF) that shows an irregular amplitude or shape, an R-wave detection unit R_DETECT_MEAN converts power of a frequency component making up an R wave of an electrocardio signal ECG into an approximately DC component, and outputs the converted power as R-wave power V_R. A T-wave detection unit T_DETECT_MEAN converts power of a frequency component making up a T wave of the electrocardio signal ECG into an approximately DC component, and outputs the converted power as T-wave power V_T. The R-wave power V_R and the T-wave power V_T are input to a comparison unit CMP, and the comparison unit CMP outputs a magnitude comparison result between the R-wave power V_R and the T-wave power V_T as a comparison signal sig_comp.

Abstract: Exemplary method, computer-readable medium and system can be provided for generating at least one information associated with at least one signal and/or data received from at least one structure. For example, it is possible to determine at least one basis based on a combination of a plurality of portions of the signal(s) and/or the data. It is also possible to generate the information(s) as a function of the basis.

Abstract: System, assembly and method are provided to facilitate reconstruction of cardiac information representing a complex rhythm disorder associated with a patient's heart to indicate a source of the heart rhythm disorder. The complex rhythm disorder can be treated by application of energy to modify the source of the rhythm disorder.

Abstract: A method and system for determining the mechanism of cardiac arrhythmia in a patient is disclosed. The method basically entails measuring the impedance of cardiac tissue in a portion of the patient's heart using a catheter during an episode of supraventricular tachycardia to produce an iso-impedance map of that cardiac tissue on a video display and analyzing the pattern of the iso-impedance map to differentiate focal arrhythmia caused by a circumscribed region of focal firing and reentrant arrhythmia caused by a macroreentrant circuit. The method can also be used to identify regions of coherent rapidly conducting tissue e.g., Bachman's bundle or the inferoposterior pathway insertion points, to identify focal “mother rotors” throughout the left atrium that may participate in the generation and maintenance of atrial fibrillation and to identify areas of CAFE (complex atrial/fractionated electrograms) that truly reflect these mother rotors.

Abstract: Techniques identify origins of ventricular arrhythmias (e.g., ventricular tachycardia or premature ventricular complexes) including exit sites or other sites using a single or multi-lead electrocardiogram (ECG) assembly. The ECG assembly is used to map an organ into a series of different three-dimensional (3D) regions. Pace maps or ventricular arrhythmia signals are used in form of ECG signals along with a supervised learning methods to pinpoint the potential origin of VT, i.e., exit sites, in the various regions.

Abstract: System, assembly and method are provided to facilitate reconstruction of cardiac information representing a complex rhythm disorder associated with a patient's heart to indicate a source of the heart rhythm disorder. The complex rhythm disorder can be treated by application of energy to modify the source of the rhythm disorder.

Abstract: Approaches for determining threshold values for one or more arrhythmia rate zones and/or the number of rate zones are described. A probability function for heart rate is determined using collected and measured heart rate values. One or more heart rate probability values are selected. Thresholds for arrhythmia rate zones are determined from the probability function based on the selected probability values. Determining the rate zone thresholds may involve determining a threshold for a lower rate limit and/or determining one or more tachyarrhythmia rate zone thresholds. The number of rate zones may also be determined based on the probability function.

Abstract: Systems and techniques for managing biological signals. In one implementation, a method includes receiving a cardiac biological signal that includes information describing events, determining a merit of each event based on one or more of a severity of a cardiac condition associated with the event and a quality of the event, and handling a subset of the events that meet a merit criterion. The subset can be handled for medical purposes.

Abstract: A system detects events related to cardiac activity. The system comprises a primary cardiac signal sensing circuit, at least one secondary cardiac signal sensing circuit having a higher sensitivity than the primary sensing circuit, and a controller circuit coupled to the primary and secondary cardiac signal sensing circuits. The controller circuit determines a rate of depolarization using the primary sensing circuit and detects tachyarrhythmia using the rate. The controller circuit also detects tachyarrhythmia using the secondary sensing circuit and also deems the tachyarrhythmia valid if the controller circuit detects the tachyarrhythmia using both the primary and secondary sensing circuit.

Abstract: Methods and systems for identifying tachyarrhythmia episode types and delivering therapy to mitigate the identified tachyarrhythmia episode types are described. Electrogram signals of cardiac activity are sensed and stored by an implantable cardiac device. Tachyarrhythmia episodes are detected and tachyarrhythmia episode types are identified based on characteristics of the electrogram signals. In preparation for performing ablation, a tachyarrhythmia episode is induced. The features of the induced tachyarrhythmia episode are compared to characteristics of the identified episode types. A similarity between the induced tachyarrhythmia episode and at least one of the episode types identified from the stored electrogram signals is indicated to facilitate performing the ablation.

Abstract: A non-transitory computer-readable medium can have instructions executable by a processor. The instructions can include an electrogram reconstruction method to generate reconstructed electrogram signals for each of a multitude of points residing on or near a predetermined cardiac envelope based on geometry data and non-invasively measured body surface electrical signals. The instructions can include a phase calculator to compute phase signals for the multitude of points based on the reconstructed electrogram signals and a visualization engine to generate an output based on the computed phase signals.

Abstract: A device for detecting cardiac ischemia is disclosed. The device includes a processor that is configured to distinguish between two different heart beats types such as left bundle branch block beats and normal sinus beats. The processor applies different ischemia tests to the two different beat types, and generates alert when it detects ischemia.

Abstract: The present technology is generally directed to schemas for using dynamic color and pattern backgrounds for electrocardiogram display and associated systems and methods. In a particular embodiment, a method of displaying an electrocardiogram rhythm can include receiving an electrocardiogram signal and applying an algorithm to the signal to determine a rhythm diagnosis or recommended therapy. The method can further include displaying a color and/or a pattern corresponding to the rhythm diagnosis or recommended therapy. In various embodiments, the method can be performed in real time or on a pre-recorded signal for post-event analysis.

Abstract: A system and method provides monitoring for atrial fibrillation. A data acquisition processor acquires a cardiac signal data stream from a patient and a wave detector detects an R-wave in a cardiac signal of the data stream. A T-wave in the cardiac signal occurring after the detected R-wave and a Q-wave in a subsequent cardiac signal of the data stream is also detected by the wave detector. A filter provides signal gating and extraction of data representing a Region of Interest (ROI) time window from the detected T-wave to the Q-wave. An integration processor detects characteristics of a P wave signal occurring within the ROI time window. At least one of the detected P wave characteristics is compared to characteristics derived from data representing at least one P wave signal and generating an output signal in response to the comparison for use in determining if the patient is in atrial fibrillation.

Abstract: Techniques are provided for updating a morphology template used to discriminate abnormal cardiac rhythms. In one example, a non-weighted candidate morphology template is generated based on far-field R-wave morphology. A weighted candidate morphology template is generated based on an ensemble average of the non-weighted candidate morphology template and a previous (i.e. active) morphology template. The previous morphology template is then selectively updated based on a comparison of additional R-waves against both the non-weighted and the weighted candidate templates. Thereafter, abnormal cardiac rhythms such as ventricular tachycardia and supraventricular tachycardia are discriminated using the updated morphology template based on newly-detected far-field R-waves. These techniques provide a method for updating the morphology discrimination template in response to long-term changes in morphology due to cardiac remodeling or cardiac disease progression.

Abstract: A method of analyzing a complex rhythm disorder in a human heart includes accessing signals from a plurality of sensors disposed spatially in relation to the heart, where the signals are associated with activations of the heart, and identifying a region of the heart having an activation trail that is rotational or radially emanating, where the activation trail is indicative of the complex rhythm disorder and is based on activation times associated with the activations of the heart.

Abstract: An apparatus and a method to generate an atrial fibrillation prediction model, and an apparatus and a method to predict atrial fibrillation are provided. An atrial fibrillation (AF) prediction model generating apparatus includes a feature extractor configured to extract T-wave features in a predetermined time period from electrocardiogram data and generate a T-wave feature profile based on the extracted features, and a prediction model generator configured to classify the generated T-wave feature profile and generate an AF prediction model using the classified feature profile.

Abstract: Techniques include determining a first vector of temporal changes in electrical data measured at multiple electrical sensors positioned at corresponding locations on a surface of a living body due to a natural electrical pulse. A different vector of temporal changes in electrical data measured at the same electrical sensors is determined due to each stimulated signal of multiple stimulated signals within the living body. Stimulated position data is received, which indicates a different corresponding position within the living body where each of the stimulated signals originates. The site of origin of the natural electrical pulse is determined based on the first vector and the multiple different vectors and the stimulated position data. Among other applications, these techniques allow the rapid, automatic determination of the site of origin of ventricular tachycardia arrhythmia (VT).

Abstract: An implantable cardioverter/defibrillator (ICD) executes a rate accuracy enhancement algorithm to select measured atrial and ventricular intervals for classifying a detected tachycardia based on average atrial and ventricular rates calculated from the selected atrial and ventricular intervals. The detected tachycardia is classified as ventricular tachycardia (VT) if the average ventricular rate is substantially higher than the average atrial rate.

Abstract: An embodiment of the invention provides an apparatus for the detection and treatment of atrial arrhythmia comprising an electrical lead having proximal and distal portions. The distal portion is positionable in an atrial chamber and the end of the proximal portion is configured to be coupled to a pacemaker. The lead comprises a plurality of conductive wires clad with an insulative coating and has sufficient flexibility to be positioned in the atria from a percutaneous introductory site. The conductive wires are coupled to a plurality of pairs of bipolar electrodes positioned on a membrane attachable to an endocardial wall. The electrode pairs are distributed in a pattern defining an area for detecting a location of a foci of aberrant electrical activity located within or adjacent the area and sending a pacing signal to that location to prevent or stop an occurrence of atrial fibrillation caused by that foci.

Abstract: A computer-assisted method for quantitative characterization and treatment of ventricular fibrillation includes preprocessing a time series of an atrial fibrillation signal obtained from a patient, segmenting the time series of the AF signal into activation segments by the computer system, obtaining local activation waveforms (LAW) from the activation segments, determining degrees of similarity between the LAWs, and identifying one or more critical regions in the patient's atria if the LAWs have degrees of similarity exceeding a first threshold value.

Abstract: A medical device is provided that comprises a lead assembly. The lead assembly includes at least one intra-cardiac (IC) electrode, an extra-cardiac (EC) electrode and a subcutaneous remote-cardiac (RC) electrode. The IC electrode is configured to be located within the heart. The EC electrode is configured to be positioned proximate to at least one of a superior vena cava (SVC) and a left ventricle (LV) of a heart. The RC electrode is configured to be located remote from the heart. An extra-cardiac impedance (ECI) module is configured to measure extra-cardiac impedance along an ECI vector between the EC and RC electrodes to obtain ECI measurements. An arrhythmia monitoring module is configured to declare a potential atrial arrhythmia to be an atrial arrhythmia based on the hemodynamic performance determined from the ECI measurements. The hemodynamic performance assessment module is further enabled to compare a current ECI pattern with a prior baseline ECI waveform.

Abstract: A method for monitoring a heart of a patient, the includes receiving signals indicative of cardiac activity of the patient during a monitoring period; and processing the signals and providing monitoring results in response to a result of the processing; wherein the monitoring results comprise information indicative of: (a) the heart rate of the patient during the monitoring period; (b) at least one first time period in which the heart rate of the patient exceeds a first threshold; and (c) at least one second time period in which the heart rate of the patient exceeds both the first threshold and a second threshold

Abstract: Methods for treating cardiac complex rhythm disorder in a patient can include receiving a plurality of electrical signals from a sensor system, wherein each electrical signal corresponds with a separate location on a cardiac wall of the heart of the patient, and wherein each electrical signal comprises an electrogram waveform; and ranking the electrical signals relative to each other based on at least a uniformity and a frequency of the electrogram waveform of each electrical signal.

Abstract: An implantable medical device and associated method for classifying a patient's risk for arrhythmias by sensing a cardiac electrogram (EGM) signal and selecting a first pair of T-wave signals and a second pair of T-wave signals. A first difference between the two T-wave signals of the first pair is compared to a second difference between the two T-wave signals of the second pair. A T-wave alternans phase reversal is detected in response to comparing the first difference and the second difference, and the patient's arrhythmia risk is classified in response to detecting the phase reversal.

Abstract: A system including a sensor interface coupled to a processor. The sensor interface is configured to receive and process an analog electrocardiogram signal of a subject and provide a digitized electrocardiogram signal sampled over a first time period and a second time period that is subsequent to the first time period. The processor is configured to receive the digitized electrocardiogram signal, to analyze a frequency domain transform of the digitized electrocardiogram signal sampled over the first and second time periods and determine first and second metrics indicative of metabolic state of a myocardium of the subject during the first and second time periods, respectively, to compare the first and second metrics to determine whether the metabolic state of the myocardium of the subject is improving, and to indicate administration of an intervention to the subject in response to a determination that the metabolic state is not improving.

Abstract: A method of targeting fibrosis or autonomic nerve tissue for ablation in a subject is described. The method includes at least the following steps. The method includes performing at least one EGM analysis of a plurality of recorded atrial EGMs for a tissue in a region suspected of having fibrosis or autonomic nerve tissue. With regard to targeting fibrosis for ablation, the method includes determining one or more correlations of at least one AF EGM characteristic to a region having fibrosis from the plurality of recorded atrial EGMs for the tissue and determining whether the tissue contains dense fibrosis that would preclude effective ablation of the analysis region of the tissue. With regard to targeting autonomic nerve for ablation, the method includes determining whether one or more significant changes in EGM characteristics with autonomic blockade exist that would indicate the need to perform ablation of the analysis region of the tissue.

Abstract: The present invention comprises a cardiopulmonary resuscitation (CPR) feedback device and a method for performing CPR. A chest compression detector device is provided that measures chest compression during the administration of CPR. The chest compression detector device comprises a signal transmitter operably positioned on the chest of the patient and adapted to broadcast a signal, and a signal receiver adapted to receive the signal. The chest compression detector device also comprises a processor, operably connected to the signal transmitter and the signal receiver. The processor repeatedly analyzes the signal received to determine from the signal a series of measurements of compression of the chest, and feedback is provided to the rescuer based on the series of measurements.

Abstract: While analyzing ventricular repolarization in accordance with the invention, ECG measurement with excitation of heart rate is evaluated and the coupling of an internal parameter, for example QT to heartbeat interval, for example RR, is modeled by a transfer function with three parameters. The values of the resulting five parameters describing the static and dynamic characteristics of ventricular repolarization are obtained by means of transfer function parameters and the measured values of heart rate and the internal parameter. The effect of medication is evaluated from the difference of the values of these parameters determined before and after administrating the medication.