ECG Signal Digitization From Paper for Automated Metric Analysis
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Solution Overview
Problem
Medical data, such as electrocardiogram (ECG) data, is often recorded on paper and requires manual analysis by specialists, limiting accessibility and efficiency.
Innovation Solution
A system and method utilizing a camera, network interface, and computing device to capture, process, and digitize ECG data, enabling automatic analysis and display of signal metrics associated with ejection-fraction characteristics, connected to a repository of deidentified patient health information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis by specialists is used, then measurement precision is maintained, but productivity decreases and loss of time increases
Solution Approach 1:
The patent uses a camera to capture an image of the physical signal (analog ECG trace on paper), creating a digital copy of the signal. This digital image is then processed by a computing device to extract signal metrics, replacing the need for manual visual inspection while preserving measurement accuracy through automated image analysis algorithms
Solution Approach 2:
The patent replaces the mechanical/manual process of specialist analysis with an automated computing system. The computing device uses image processing and machine learning algorithms to automatically determine signal metrics from the captured image, substituting human cognitive processing with computational algorithms that maintain precision while dramatically increasing productivity
2Measurement precision
If manual specialist analysis is required, then measurement precision is ensured, but device complexity increases and ease of operation decreases
Solution Approach 1:
The system enables self-service analysis by automatically processing the captured signal image and generating diagnostic metrics without requiring specialist intervention. The computing device autonomously performs image processing, feature extraction, and metric calculation, making the system accessible to non-specialists while maintaining measurement precision through validated algorithms
Solution Approach 2:
The patent introduces an intermediary computing system between the physical signal and the user. This intermediary automatically processes the signal image and translates it into interpretable metrics, bridging the gap between complex signal analysis and user-friendly presentation, thereby improving ease of operation without sacrificing measurement accuracy
3Reliability
If physical paper format is used, then reliability of data recording is maintained, but loss of information occurs and productivity decreases
Solution Approach 1:
The patent creates a digital copy of the physical signal using a camera, preserving all visual information from the original paper record. This digital image can be processed, stored, and analyzed without degrading the original physical record, maintaining reliability while enabling enhanced information extraction through computational analysis
Solution Approach 2:
The patent substitutes the physical paper-based system with a digital imaging and processing system. The camera captures the signal as a digital image, which can be enhanced through image processing algorithms to extract more information than visible to the human eye, thereby reducing information loss while maintaining the reliability of the original recording
Data Source
AI summary
Described herein are systems and methods for signal digitization. A system may include a camera; a network interface device; a user interface; and a computing device configured to, using the camera, capture an image of a signal; determine a signal metric as a function of the image of the signal; and using the user interface, display the signal metric to a user; wherein the system is communicatively connected to a repository of deidentified patient health information.