Multi-Domain ECG Subwaveform Detection via Frequency Segmentation
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Solution Overview
Problem
Conventional ECG devices only provide a limited view of heart function through the P, Q, R, S, T, U, and J waveforms, failing to capture the complete operation of all heart muscle tissues, which restricts diagnostic and treatment capabilities for heart problems.
Innovation Solution
The development of a saah ECG device that employs signal processing to detect subwaveforms within and between the P, Q, R, S, T, and J waveforms, using frequency band pass filters to analyze electrical signals from anatomically distinct heart tissues, providing additional diagnostic information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ECG devices are used to detect heart electrical signals, then the basic P, Q, R, S, T, U, and J waveforms can be obtained, but the complete operation of all heart muscle tissues cannot be captured, limiting diagnostic capabilities
Solution Approach 1:
The patent applies segmentation by dividing the ECG signal into multiple frequency bands (e.g., 0-15 Hz, 15-30 Hz, 30-45 Hz, etc.) using bandpass filters. Each frequency band captures different physiological information from distinct heart muscle tissues, allowing comprehensive analysis of subwaveforms within the traditional P, Q, R, S, T, U, and J waveforms. This frequency-domain segmentation resolves the contradiction by enabling detailed tissue-specific detection without losing overall signal integrity.
2Loss of information
If signal processing with frequency band pass filters is applied to detect subwaveforms, then additional diagnostic information is provided, but the device complexity increases
Solution Approach 1:
The patent implements a universal multi-functionality approach where a single ECG device integrates multiple bandpass filters covering different frequency ranges, allowing it to simultaneously capture various subwaveform information from different heart tissues. The system can selectively activate different frequency bands based on diagnostic needs, providing comprehensive analysis capabilities without requiring multiple separate devices. This resolves the contradiction by consolidating complex functionality into one versatile platform.
3Measurement precision
If multiple frequency bands are analyzed to capture complete heart muscle tissue operation, then diagnostic accuracy improves, but the processing time and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple bandpass filters with specific frequency ranges before signal acquisition. The filtering and frequency band separation operations are performed in real-time as the ECG signal is captured, rather than requiring extensive post-processing. This allows comprehensive multi-frequency analysis to be completed during the measurement phase, reducing overall processing time while maintaining high diagnostic accuracy.
Data Source
AI summary
Systems and methods are provided to detect a multi-domain ECG waveform. Electrical impulses are detected between at least one pair of electrodes of two or more electrodes placed proximate to a beating heart and are converted to an ECG waveform for each heartbeat of the beating heart. The ECG waveform for at least one heartbeat is received from the detector, the ECG waveform is converted to a frequency domain waveform, the frequency domain waveform is separated into two or more different frequency domain waveforms using two or more different bandpass filters, and the two or more different frequency domain waveforms are converted into two or more different time domain waveforms. The two or more different time domain waveforms are displayed in the same time domain plot as a multi-domain ECG waveform for the at least one heartbeat.