Patch ECG Measurement With P-Wave Enhancement and Synchronized User Inputs
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Solution Overview
Problem
Existing electrocardiogram (ECG) devices struggle to accurately measure P-wave components and integrate user inputs effectively, leading to suboptimal diagnosis of conditions like atrial fibrillation, particularly in non-invasive settings.
Innovation Solution
An apparatus and method for measuring ECG signals that enhance P-wave components by applying differential signal gains and integrate user inputs such as voice, button, and touch inputs, along with motion sensing, to generate enhanced ECG signals synchronized with user inputs, which are then stored and transmitted via near-field communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ECG measurement methods are used, then the device structure is simple, but the measurement precision of P-wave components is insufficient
Solution Approach 1:
The patent applies different signal gain values to different frequency bands locally. Specifically, a first signal gain is applied to a first frequency band and a second signal gain is applied to a second frequency band, where the gain values are optimized for enhancing P-wave components in specific frequency ranges while maintaining other ECG components. This local frequency-based differentiation resolves the contradiction by improving P-wave measurement precision without requiring complete system redesign.
Solution Approach 2:
The patent changes the signal processing parameters by applying different gain values to different frequency bands. The signal gain is adjusted as a variable parameter across frequency bands, allowing optimization of P-wave detection sensitivity. This parameter change approach enables improved measurement precision while keeping the device architecture relatively simple.
2Loss of information
If user inputs are integrated into ECG measurement, then the diagnostic information completeness is improved, but the device complexity increases
Solution Approach 1:
The patent merges ECG signal processing with user input processing into a unified system. User inputs (such as button presses, touch inputs, or voice commands) are integrated with the ECG measurement process, allowing simultaneous acquisition of cardiac data and contextual information. This merging reduces information loss by combining multiple diagnostic data sources while managing complexity through integrated processing architecture.
Solution Approach 2:
The patent implements a multi-functional system that handles both ECG signal acquisition and user input processing through a unified device. The same processing unit that analyzes ECG signals also processes user inputs, and the system generates comprehensive diagnostic information by combining both data types. This universal approach improves information completeness without requiring entirely separate systems.
3Measurement precision
If differential signal gains are applied to different frequency bands, then the P-wave component enhancement is improved, but the manufacturing precision requirements increase
Solution Approach 1:
The patent performs preliminary frequency band division and gain assignment before actual ECG signal processing. The frequency bands are pre-defined and signal gain values are pre-calculated and stored for each band. When ECG signals are acquired, the pre-determined gain values are applied without requiring real-time complex calculations, thus improving P-wave detection accuracy while reducing the precision requirements during manufacturing and operation.
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 solution improves the accuracy of ECG signal analysis by enhancing P-wave components and integrating user inputs, facilitating better diagnosis and monitoring of heart conditions, especially in non-invasive settings.
Implementation Method 1
a signal detector that outputs an electrocardiogram signal by detecting an electrical signal from a heart of an object
Implementation Method 2
a motion sensor that senses movements of the apparatus for measuring the electrocardiogram in x, y, and z-axis directions
Data Source
AI summary
Aspects of the subject disclosure may include, for example, an apparatus for measuring an electrocardiogram signal and storing the electrocardiogram signal merged with a user input. The apparatus includes a signal detector, a signal converter, a motion sensor sensing movements of the apparatus for measuring electrocardiogram signal in x, y, and z-axis directions, an input unit receiving at least one type of the user input from among a voice input, a button input, and a touch input, a processor receiving the user input, and a mounting part being made of a flexible material and is implemented to be attached to a body of the object such that the apparatus is worn through the mounting part as a patch type. Other embodiments are disclosed.