Systems, devices, and methods for electromechanical sensing and mapping
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Abstract
Systems, devices, and methods for tracking and determining the motion of a cardiac implant is disclosed. The motion of the implant is determined by transmitting acoustic energy to a tissue location using an acoustic controller-transmitter comprising an array of acoustic transducers; wherein the implant is configured to convert the transmitted acoustic energy to electrical energy; and the tracking is achieved by determining the electrical energy delivered to the tissue throughout one or more cardiac cycles in order to create a motion profile of the cardiac implant.
Core Innovation
The invention provides methods for tracking and/or determining cardiac motion by tracking a location of an acoustic receiver-converter throughout a cardiac cycle relative to cardiac tissue and creating a motion profile of the receiver-converter based on the tracked location. The motion profile is used for normalizing with electrocardiogram (EKG) data, mapping a cardiac motion of the cardiac tissue based on the motion profile, and determining a magnitude of a motion of the receiver-converter through the cardiac cycle and correlating the magnitude to changes in ejection fraction.
In electromechanical implementations, the invention uses electromechanical mapping by correlating the motion profile with electrogram (EGM) data to create an electromechanical motion profile, and mapping a location of the cardiac tissue electromechanically by combining three-dimensional (3D) motion data with EGM data. The invention further supports tracking by detecting electrical energy delivered by the acoustic receiver-converter to cardiac tissue throughout the cardiac cycle to dynamically track 3D motion data of the receiver-converter.
The invention also ties the motion-derived information to stimulation of cardiac tissue, including delivering, via the receiver-converter, electrical energy to the cardiac tissue based at least in part on the EKG-normalized motion profile, motion mapping, and/or ejection-fraction correlated motion magnitude. In particular implementations, the invention determines a position of the receiver-converter at the end of diastole and delivers acoustic energy to the receiver-converter sufficient to trigger pacing stimulation of the cardiac tissue based on the determination that the receiver-converter is at the position at the end of diastole.
Claims Coverage
The document includes four independent claims, centered on tracking a receiver-converter location or detecting electrical energy delivered by the receiver-converter to form a motion profile or 3D motion data, optionally normalize with EKG, optionally perform electromechanical mapping with EGM, and optionally correlate motion magnitude with changes in ejection fraction, with electrical energy delivery including pacing stimulation based on the resulting motion information.
Cardiac motion tracking with receiver-converter location motion profile
Tracking a location of an acoustic receiver-converter throughout a cardiac cycle relative to cardiac tissue and creating a motion profile of the receiver-converter based on the tracked location.
EKG-normalized motion profile for mapping and ejection-fraction correlation
Using the motion profile in one or more of normalizing the motion profile with electrocardiogram (EKG) data, mapping a cardiac motion of the cardiac tissue based on the motion profile, and determining a magnitude of a motion of the receiver-converter through the cardiac cycle based on the motion profile and correlating the magnitude of the motion of the receiver-converter to changes in ejection fraction.
Electrical energy delivery to cardiac tissue based on motion profile outputs
Delivering, via the receiver-converter, electrical energy to the cardiac tissue based at least in part on the EKG normalization, mapping, and/or ejection-fraction correlated motion magnitude.
Dynamic 3D motion tracking from electrical energy detection
Detecting electrical energy delivered by an acoustic receiver-converter to cardiac tissue throughout a cardiac cycle to dynamically track three-dimensional (3D) motion data of the receiver-converter.
3D motion data processing for electromechanical mapping and ejection-fraction correlation
Using the 3D motion data in one or more of normalizing the 3D motion data with electrocardiogram (EKG) data, mapping a location of the cardiac tissue based on the 3D motion data, mapping the location of the cardiac tissue electromechanically by combining the 3D motion data with electrogram (EGM) data, and determining a magnitude of a motion of the receiver-converter through the cardiac cycle based on the 3D motion data and correlating the magnitude of the motion of the receiver-converter to changes in ejection fraction.
End-diastole position determination triggering pacing via acoustic energy
Determining a position of the receiver-converter at the end of diastole of the cardiac tissue and delivering acoustic energy to the receiver-converter sufficient to trigger pacing stimulation of the cardiac tissue based on the determination that the receiver-converter is at the position at the end of diastole.
Across the independent claims, the core coverage is tracking cardiac motion using an acoustic receiver-converter and forming a motion profile or dynamic 3D motion data from tracked location or detected electrical energy, optionally normalizing with EKG and optionally performing electromechanical mapping with EGM, optionally correlating motion magnitude with changes in ejection fraction, and using these results to deliver electrical energy to cardiac tissue, including triggering pacing stimulation based on an end-diastole receiver-converter position determination.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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