ECG Signal Size Measurement Using Hilbert Transform
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Solution Overview
Problem
Existing methods for measuring the sizes of P, R, and T waves in electrocardiography signals are unreliable due to noise interference affecting the baseline, leading to inconsistent and unreliable measurements.
Innovation Solution
An apparatus and method utilizing a Hilbert transform to process electrocardiography signals, creating a Nyquist diagram and applying circle fitting to obtain the sizes of P, R, and T waves, which are proportional to the diameters of circles formed on the diagram, thereby isolating and measuring these wave components with higher reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the sizes of P, R, and T waves are measured based on the baseline BL, then the measurement process is simple, but the measurement reliability is low due to noise interference
Solution Approach 1:
The patent introduces a Hilbert transform as an intermediary mathematical operation between the raw ECG signal and the final measurement. The transform unit applies the Hilbert transform to the received ECG signal to generate an analytic signal, which serves as a mediator that eliminates baseline noise while preserving the essential waveform characteristics needed for accurate P, R, and T wave size measurement.
Solution Approach 2:
The patent performs preliminary signal processing by applying the Hilbert transform before measurement. The transform unit processes the ECG signal in advance to create a noise-free analytic signal, and the measurement unit then measures wave sizes from this pre-processed signal, ensuring accurate baseline determination without noise interference.
2Stability of the object's composition
If high-pass filter is used to remove noise, then the baseline stability is improved, but the measurement precision of wave sizes decreases
Solution Approach 1:
The patent changes the fundamental parameter used for baseline determination from time-domain voltage values to the phase information contained in the Hilbert-transformed analytic signal. By measuring wave sizes from the phase components rather than direct voltage values, the method achieves both baseline stability and measurement precision simultaneously, avoiding the trade-off inherent in filter-based approaches.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The Hilbert transform-based approach effectively isolates and measures the sizes of P, R, and T waves with higher reliability compared to baseline-dependent methods, reducing noise interference and improving measurement accuracy.
Implementation Method 1
a transform unit for Hilbert-transforming the received electrocardiography signal
Implementation Method 2
a first module for creating a Nyquist diagram, which is a time response curve in which a value of the electrocardiography signal is a real value and a value of the Hilbert-transformed electrocardiography signal is an imaginary value
Data Source
AI summary
An apparatus for measuring the size of an electrocardiography signal using a Hilbert transform, according to one embodiment of the present invention, may comprise: a receiving unit for receiving a measured electrocardiography signal; a transform unit for Hilbert-transforming the received electrocardiography signal; and a measurement unit for obtaining the size of the electrocardiography signal on the basis of the Hilbert-transformed electrocardiography signal.