Ta Wave Isolation in Composite EKG Signals
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Solution Overview
Problem
Current EKG waveform analysis struggles to accurately isolate and interpret the hidden Ta wave, which represents atrial repolarization, due to its overlap with ventricular depolarization, making it difficult to distinguish and potentially leading to incorrect signal interpretation.
Innovation Solution
A system comprising a processor, memory, and comparator that estimates and isolates the Ta wave by subtracting estimated ventricular activity from the full EKG waveform, allowing for the representation of atrial depolarization and repolarization to be output, using break points and interpolation methods to define waveform sections and generate a digital representation of heartbeats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional EKG waveform analysis is used, then the overall signal processing is simple, but the Ta wave (atrial repolarization) cannot be accurately isolated and interpreted due to overlap with ventricular depolarization
Solution Approach 1:
The patent segments the EKG waveform into distinct components: P wave, QRS complex, T wave, and Ta wave. By dividing the composite waveform into separate temporal and signal segments, the system can process and analyze each component independently, enabling accurate isolation of the hidden Ta wave from the overlapping ventricular depolarization signal.
Solution Approach 2:
The patent extracts the Ta wave component from the composite EKG waveform by identifying and separating it from other waveform elements. The system uses signal processing techniques to isolate the Ta wave segment, allowing it to be displayed and analyzed separately despite its overlap with the QRS complex in the original signal.
2Loss of information
If the Ta wave is overlapped with ventricular depolarization, then the EKG waveform appears as a single integrated signal, but this causes ambiguity and incorrect interpretation of cardiac activity
Solution Approach 1:
The patent introduces an intermediary processing layer that separates the Ta wave signal from the composite EKG waveform. This intermediary step creates a cleaned-up representation of atrial repolarization that can be displayed separately, acting as a mediator between the raw overlapping signal and the final interpretation, thereby eliminating ambiguity.
3Reliability
If no waveform separation is performed, then the processing system remains simple, but diagnostic accuracy is reduced due to inability to distinguish atrial and ventricular activities
Solution Approach 1:
The patent implements dynamic waveform separation that adapts to different EKG patterns and heart rates. The system dynamically adjusts its processing parameters to accurately isolate the Ta wave across varying physiological conditions, maintaining high diagnostic accuracy while managing processing complexity through adaptive algorithms.
Data Source
AI summary
A system is provided for isolating the value of a signal hidden within a composite electrical signal. The system comprises an input, a processor, and a memory configured to store instructions executable by the processor. The instructions cause the processor to estimate that portion of a received composite electrical signal that represents a hidden signal by subtracting a known first signal from the composite signal.