Abstract:
In a medical device system, a computer apparatus is configured to receive body surface electrical signals from an electrode apparatus including multiple external electrodes. The computing apparatus generates electrical dyssynchrony data from the body surface electrical signals during delivery of His bundle pacing pulses and identifies effective His bundle capture based on the electrical dyssynchrony data. The computing apparatus generates an indication of His bundle capture in response to identifying the effective His bundle capture.
Abstract:
A base cardiac electrogram signal at a base electrode is recorded for a predetermined amount of time. A plurality of cardiac electrogram signals at a plurality of electrodes other than the base electrode are recorded for the predetermined amount of time. The base cardiac electrogram signal is compared with each of the plurality of cardiac electrogram signals. The similarities between the base cardiac electrogram signal and each of the plurality of cardiac electrogram signals is determined. A specific area of cardiac tissue where the base electrode is positioned is mapped based at least in part on the determined similarities.
Abstract:
An implantable medical device system operates in an atrial synchronized ventricular pacing mode and switches to an atrial-asynchronous pacing mode when pacing mode switching criteria are met. A control circuit of the system detects a cycle length change between two atrial cycle lengths determined from a cardiac signal that includes far-field atrial events. If the cycle length change is greater than a change, threshold the control circuit determines if the pacing mode switching criteria are satisfied subsequent to detecting the cycle length change.
Abstract:
A base cardiac electrogram signal at a base electrode is recorded for a predetermined amount of time. A plurality of cardiac electrogram signals at a plurality of electrodes other than the base electrode are recorded for the predetermined amount of time. The base cardiac electrogram signal is compared with each of the plurality of cardiac electrogram signals. The similarities between the base cardiac electrogram signal and each of the plurality of cardiac electrogram signals is determined. A specific area of cardiac tissue where the base electrode is positioned is mapped based at least in part on the determined similarities.
Abstract:
Methods and/or devices may be configured to estimate right ventricular-timings from left ventricular (LV) sensing times for adaptive cardiac therapy using DDD/VDD LV pacing without using a right ventricular (RV) lead. One embodiment employs a subcutaneous device (SD) in a patient and a leadless pacing device (LPD) coupled to a patient's heart. Heart activity including atrial and ventricular events are sensed from the patient's heart using the SD. Left ventricular events (LVS) are sensed using the LPD. The SD is used to determine whether cardiac resynchronization pacing therapy (CRT pacing) is appropriate based upon the heart activity sensed by the SD. The SD is further configured to determine timing of CRT pacing pulses for delivery to cardiac tissue through the LPD.
Abstract:
A method and system for determining activation times for electric potentials from complex electrograms to identify the location of arrhythmic sources or drivers. The method includes counting a number deflections in a recorded cardiac electrogram signal from at least one electrode for a predetermined amount of time. A deflection time is identified for each of the counted number of deflections. A most negative slope is identified between each of the identified deflections times. Each of the identified most negative slopes is correlated to a possible activation time. Each possible activation time is associated with a corresponding electrode from the at least one electrode. A spatial voltage gradient at each corresponding electrode is calculated for each possible activation time. The greatest spatial voltage gradient is identified. The greatest spatial voltage gradient is correlated to an activation time.
Abstract:
In a medical device system, a computer apparatus is configured to receive body surface electrical signals from an electrode apparatus including multiple external electrodes. The computing apparatus generates electrical dyssynchrony data from the body surface electrical signals during delivery of His bundle pacing pulses and identifies effective His bundle capture based on the electrical dyssynchrony data. The computing apparatus generates an indication of His bundle capture in response to identifying the effective His bundle capture.
Abstract:
An implantable device and associated method for delivering multi-site pacing therapy is disclosed. The device comprises a set of electrodes including a first and second left ventricular electrodes spatially separated from one another and a right ventricular electrode, all coupled to an implantable pulse generator. The processing circuit coupled to the implantable pulse generator, the processing circuit configured to determine whether a prospective heart failure condition has occurred and if so to trigger the pulse generator to switch from a first pacing mode to a second pacing mode, the first pacing mode comprising delivering only a first pacing pulse to a left ventricle (LV) and thereafter delivering an RV pacing pulse to the right ventricular electrode within a single cardiac cycle and the second pacing mode comprising delivering first and a second pacing pulses to the LV and thereafter delivering an RV pacing pulse to the right ventricular electrode within a single cardiac cycle.
Abstract:
A method and system for determining activation times for electric potentials from complex electrograms to identify the location of arrhythmic sources or drivers. The method includes counting a number deflections in a recorded cardiac electrogram signal from at least one electrode for a predetermined amount of time. A deflection time is identified for each of the counted number of deflections. A most negative slope is identified between each of the identified deflections times. Each of the identified most negative slopes is correlated to a possible activation time. Each possible activation time is associated with a corresponding electrode from the at least one electrode. A spatial voltage gradient at each corresponding electrode is calculated for each possible activation time. The greatest spatial voltage gradient is identified. The greatest spatial voltage gradient is correlated to an activation time.