ECG Signal to 2D Image Conversion for Real-Time Identification
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Solution Overview
Problem
Conventional personal identification methods using electrocardiogram data face challenges in real-time identification due to the processing of large amounts of data, making them inefficient for immediate authentication.
Innovation Solution
A method that converts a single electrocardiogram cycle into two-dimensional image data using techniques like dimensionality reduction with PCA and LDA, allowing for real-time identification by generating personal identification information from the electrocardiogram signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrocardiogram data is processed using conventional methods with multiple leads and three-dimensional vector electrocardiogram, then personal identification accuracy is improved, but data processing time increases and real-time identification cannot be achieved
Solution Approach 1:
The patent extracts and processes only a single electrocardiogram cycle instead of using multiple leads and generating three-dimensional vector electrocardiogram data. This extraction of essential information reduces data volume while maintaining identification accuracy, enabling real-time processing
Solution Approach 2:
The patent converts the electrocardiogram signal from traditional time-series representation into a two-dimensional image format. This dimensional transformation allows for more efficient processing and comparison while reducing the computational complexity associated with three-dimensional vector electrocardiogram analysis
2Reliability
If multiple electrocardiogram leads are used to generate comprehensive data, then identification reliability is improved, but data calculation amount increases making real-time processing difficult
Solution Approach 1:
The patent extracts the most characteristic portion of the electrocardiogram (a single cycle containing P, Q, R, S, and T waves) and converts it to two-dimensional image data. This extraction maintains the essential identification features while reducing the calculation amount to enable real-time processing
Solution Approach 2:
The patent changes the representation parameters of electrocardiogram data from multi-lead electrical signals to two-dimensional image data. This parameter transformation reduces computational complexity while preserving the unique characteristics needed for reliable identification
Data Source
AI summary
Disclosed are a method for generating personal identification information using an electrocardiogram and a method for identifying a person using the personal identification information. The methods dramatically increase an identification rate by using two-dimensional image data converted from an electrocardiogram signal as personal identification information, and enable real-time identification by reducing a calculation amount by converting only a single electrocardiogram cycle into the two-dimensional image data.