Heart Visualization Synchronizing ECG with 3D Model
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Solution Overview
Problem
Conventional tools face challenges in synchronizing the simulation of heart behavior with electrocardiogram data due to time differences between electrical signal generation and myocardial contraction, making it difficult to accurately represent the relationship between electrical signal variations and cardiac muscle motion.
Innovation Solution
A visualization apparatus that includes a processor and memory, which stores a three-dimensional heart model and electrocardiogram data, determining specific time steps for heart behavior responses to electrical signals and updating the model to synchronize with signal strength variations, ensuring that heart shapes are reproduced simultaneously with corresponding electrical waves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional tools are used to simulate heart behavior and reproduce it simultaneously with electrocardiogram data, then the visualization can be generated, but the synchronization between electrical signal variations and cardiac muscle motion is inaccurate due to time differences
Solution Approach 1:
The system performs preliminary identification of correspondence relationships between electrocardiogram waves and heart behavior time steps before reproduction. By pre-analyzing and storing the mapping between electrical signal events (P wave, QRS complex, T wave) and corresponding mechanical contraction time steps, the system eliminates synchronization errors during actual playback, ensuring accurate temporal alignment without real-time calculation delays
Solution Approach 2:
The system uses the identified correspondence relationship as feedback to control the reproduction timing. The playback mechanism references the pre-established mapping to adjust when each heart behavior frame is displayed, creating a closed-loop synchronization system that compensates for the inherent time lag between electrical excitation and mechanical contraction
2Ease of operation
If the heart behavior simulation is started simultaneously with the electrocardiogram, then the visualization process is simple, but the synchronization is incorrect because of the time delay in myocardial contraction response
Solution Approach 1:
Instead of attempting complex real-time synchronization adjustments, the system performs the synchronization setup in advance by identifying and storing the correspondence relationship between ECG waves and heart behavior time steps. This preliminary analysis phase separates the complex synchronization logic from the playback operation, making the actual reproduction process simple while maintaining high accuracy
Solution Approach 2:
The system dynamically adjusts the reproduction timing based on the identified correspondence relationship. Rather than using fixed simultaneous startup, the playback mechanism flexibly schedules when each heart behavior frame is displayed according to the pre-analyzed timing offsets, allowing accurate representation of the delayed mechanical response to electrical stimuli
3Productivity
If discrete time step simulation data is used, then the computational process is manageable, but the continuous synchronization with electrocardiogram waves becomes difficult
Solution Approach 1:
The correspondence relationship identification data structure serves as an intermediary between the discrete simulation time steps and the continuous electrocardiogram waveform. This intermediate mapping layer translates between the discrete computational framework and the continuous physiological signals, enabling precise temporal alignment without requiring continuous computational adjustment during playback
Data Source
AI summary
Based on heart behavior data, a computation unit determines a first time step at which a heart exhibits a first behavior in response to a first wave of an electrical signal, as well as a second time step at which the heart exhibits a second behavior in response to a second wave of the same. The computation unit reproduces the heart's behavior over time by updating a three-dimensional model of the heart according to the heart behavior data, simultaneously with variations in electrical signal strength over time according to electrocardiogram data. The computation unit coordinates this reproduction such that a first shape of the heart at the first time is reproduced step simultaneously with the first wave of the electrical signal, and such that a second shape of the heart at the second time step is reproduced simultaneously with the second wave of the electrical signal.