ECG Biometric Authentication Using RSA ECC Digital Codes
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Solution Overview
Problem
Current biometric authentication technologies face challenges in accurately determining similarities between electrocardiogram (ECG) signals, leading to unreliable authentication due to frequent errors and insecurity when using image patterns for comparison.
Innovation Solution
An ECG biometric authentication system utilizing a smart watch with biometric electrodes that converts analog ECG signals into digital codes using a Rivest-Shamir-Adleman (RSA)/Elliptic Curve Cryptosystem (ECC) algorithm, forming a private key for asymmetric cryptographic authentication, enhancing security and accuracy by leveraging unique QRS complex information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image patterns are extracted from analog ECG waveforms for authentication, then authentication can be performed, but reliability is low and errors occur frequently due to complexity in determining similarities
Solution Approach 1:
The patent replaces the mechanical/image-based pattern recognition system with a digital signal processing system. Instead of extracting and comparing image patterns from analog waveforms, the system converts ECG signals into digital data and uses automated algorithms to extract features and determine similarities, thereby improving reliability while reducing processing complexity
Solution Approach 2:
The patent transforms the authentication approach by changing the parameters used for comparison. Rather than comparing visual image patterns, the system extracts specific physiological parameters from the digital ECG data and uses these quantified parameters for authentication, which improves both reliability and reduces complexity through standardized measurement
2Measurement precision
If analog ECG waveforms are used for authentication, then ECG information can be obtained, but accuracy is degraded when similarities are determined through image comparison
Solution Approach 1:
The patent substitutes manual or image-based similarity determination with automated digital signal processing. The system uses computer algorithms to compare digital ECG data, extracting and comparing specific waveform features automatically, which significantly improves measurement precision while reducing processing complexity through algorithmic automation
Solution Approach 2:
The patent creates a digital copy of the analog ECG waveform and uses this digital representation for authentication. By converting the analog signal to digital form, the system enables precise computational analysis and automated comparison, improving accuracy while simplifying the processing method through digital manipulation
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 system provides real-time, secure biometric authentication by generating unique digital codes from ECG signals, significantly improving authentication accuracy and security through continuous skin contact and the use of asymmetric cryptography.
Implementation Method 1
currents flowing in a body are generated when depolarization and repolarization occurs in an atrium/ventricle of the heart
Data Source
AI summary
Provided is an electrocardiogram (ECG) biometric authentication system that performs biometric authentication using biometric information having unique values for each client includes one or more client terminals and a key distribution center (KDC) that uses ECG information of the one or more client terminals to issue a digital certificate. According to the configuration of the electrocardiogram biometric authentication system, security is enhanced.