Methods, systems and media for reconstructing bioelectronic lead placement
Inventors
Wissner-Gross, Alexander David • Kapa, Suraj • Lee, James Y. • Keenan, Desmond B. • DRAPEAU, Natalia • LONDONER, Kenneth L.
Assignees
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Publication Number
US-11737701-B2
Publication Date
2023-08-29
Expiration Date
Abstract
Methods, systems, and media are disclosed for reconstructing bioelectronic lead placement. In some embodiments, the disclosed system can include a processor configured to determine relationships between EP signals of one or more pairs of a plurality of electrodes over one or more sampling time periods, wherein the plurality electrodes are separately placed on a patient's body for collecting the EP signals, and to reconstruct geometry of the plurality of electrodes based on the relationships between the EP signals.
Core Innovation
The invention provides methods, systems, and non-transitory computer-readable media for reconstructing bioelectronic lead placement using electrophysiology (EP) signals collected from a plurality of electrodes positioned on a patient's body. The reconstruction is driven by determining biological signaling time latencies between EP signals from one or more pairs of the plurality of electrodes over one or more sampling time periods, and these latencies are used to generate a weighted graph of the plurality of electrodes.
Based on the weighted graph and known positions, scales, or orientations of electrodes, the invention determines whether one or more electrodes are misplaced so as to yield an incorrect reading. The approach then corrects the misplacement of the plurality of electrodes based on the determination that the one or more electrodes are misplaced, and the corrected placement is used to address an incorrect reading caused by electrode misplacement.
In described embodiments, the latencies are modeled through relationships among electrode pairs, including determining time-lag latencies or computing Pearson correlation coefficients, and fitting the relationships to a weighted graph. The weighted graph is embedded in a two-dimensional embedded space or a three-dimensional embedded space using Fruchterman-Reingold optimization, and the electrode geometry is reconstructed as a spatial map. The reconstructed spatial map is used to identify electrode misplacement and correct lead placement, including correcting vector orientation between electrodes.
The document further describes processing in the context of surface electrocardiogram (SECG) signals and intracardiac electrocardiogram (IECG) signals. After reconstructing placement and correcting misplacement, the system optionally classifies patient conditions based on the reconstructed spatial maps, and the described examples relate condition-linked geometric patterns to reconstructed electrode placement.
Claims Coverage
The coverage includes three independent claims: a system, a method, and a non-transitory computer-readable medium. Each independent claim shares the same core inventive workflow, supported by four inventive features including time-latency determination, weighted-graph generation, misplacement detection using known electrode positions/scales/orientations, and correction of misplacement to address an incorrect reading.
Weighted-graph reconstruction from biological signaling time latencies
Receive electrophysiology (EP) signals from a plurality of electrodes positioned on a patient's body, determine biological signaling time latencies between EP signals from one or more pairs of the plurality of electrodes over one or more sampling time periods, and generate a weighted graph of the plurality of electrodes based on the biological signaling time latencies.
Misplacement determination using known electrode positions, scales, or orientations
Determine, based on the weighted graph and known positions, scales, or orientations of electrodes, that one or more of the plurality of electrodes on the patient are misplaced so as to yield an incorrect reading.
Correcting misplacement to address an incorrect reading
Correct a misplacement of the plurality of electrodes based on the determination that the one or more of the plurality of electrodes on the patient are misplaced.
Patient-condition classification based on corrected misplacement
Classify a patient condition based on correcting the misplacement of a plurality of electrodes.
Across the independent claims, the inventive concept is to reconstruct bioelectronic lead placement by converting pairwise biological signaling time latencies into a weighted graph, using known electrode positions/scales/orientations to detect electrode misplacement that causes an incorrect reading, and correcting the misplacement; additional embodiments include optionally classifying a patient condition based on the corrected misplacement.
Stated Advantages
Determines that one or more electrodes are misplaced so as to yield an incorrect reading.
Corrects misplacement of the plurality of electrodes based on the determination that electrodes are misplaced.
Optionally classifies a patient condition based on corrected misplacement.
Documented Applications
Surface electrocardiogram (SECG) application using surface electrodes to reconstruct bioelectronic lead placement and correct misplacement.
Intracardiac electrocardiogram (IECG) application using intracardiac electrodes to reconstruct bioelectronic lead placement and correct misplacement.
Patient condition classification based on reconstructed spatial maps derived from corrected bioelectronic lead placement.
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