Cardiac Pacemakers, Inc.

Hugo Andres Belalcazar

Kent Lee

Ronald W Heil, Jr

Jonathan T Kwok

Jennifer Lynn Pavlovic

The invention relates to systems, devices, and methods for detecting infections associated with implantable medical devices. In an embodiment, the invention includes a method of detecting infection in a patient including measuring a physiological parameter using a chronically implanted sensor at a plurality of time points and evaluating the physiological parameter measurements to determine if infection is indicated. In an embodiment, the invention includes an implantable medical device including a first chronically implantable sensor configured to generate a first signal corresponding to a physiological parameter and a controller disposed within a housing, the controller configured to evaluate the first physiological parameter signal to determine if an infection is indicated. Other embodiments are also included herein.

Implantable medical device and methods for automated detection of infection

A plethysmogram signal is sensed from a patient and provided to a programmer device for monitoring the condition of the patient and for optimizing pacing parameters of a cardiac device implanted in the patient. The programmer device analyzes the plethysmogram signal for cardiac performance associated with different pacing parameters. The cardiac performance is indicated by, for example, a pulse amplitude response, a degree of pulsus alternans, or irregularity in the pressure pulses detected in an atrial fibrillation patient. The pacing parameters resulting in the best cardiac performance are selected as the optimum pacing parameters. In one embodiment, the programmer device monitors a Valsalva maneuver performed by a patient. Optimum pacing parameters are derived by analysis of the plethysmogram signals obtained during performance of the Valsalva maneuver while the patient is paced using different pacing parameters.

Non-invasive method and apparatus for cardiac pacemaker pacing parameter optimization and monitoring of cardiac dysfunction

Non-invasive method and apparatus for monitoring the condition of a heart failure patient and for optimizing the pacing parameters of a cardiac device implanted in a patient. A plethysmogram signal, e.g., a finger photoplethysmogram, is obtained from a patient and provided to a programmer device. The plethysmogram signal is analyzed by the programmer device to obtain a cardiac performance parameter, e.g., a pulse amplitude response, a degree of pulsus alternans, or irregularity in the pressure pulses detected in an atrial fibrillation patient. The effect on the cardiac performance parameter derived from the plethysmogram is determined for various pacing parameter values in a manner so as to reject noncardiogenic effects and artifacts. Pacing parameters resulting in the best cardiac performance parameter may be selected as the optimum pacing parameters. The programmer device may monitor a Valsalva maneuver performed by a patient. Optimum pacing parameters may be derived by analysis of the plethysmogram signals obtained during performance of the Valsalva maneuver using different pacing parameters.

A cardiac rhythm management system provides a nonlinear gain characteristic. The system operates without blanking switches that decouple its inputs from electrodes during delivery of a pacing or recharge pulse. The nonlinear gain characteristic includes piecewise linear and logarithmic gain characteristics. Signals having amplitudes that are smaller than an input threshold voltage are amplified by less than signals having amplitudes that exceed the input threshold voltage. Intrinsic heart activity signals are amplified. Detected pacing pulses are attenuated. The system is capable of detecting an evoked response to determine whether a pacing pulse resulted in a successful heart contraction. Autocapture techniques allow adjustment of the pacing pulse energy based on the evoked response.

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Bogota, Colombia

Hugo Andres Belalcazar