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KMID : 1137820100310050365
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의공학회지
2010 Volume.31 No. 5 p.365 ~ p.374
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Development of Electrocardiogram Identification Algorithm for a Biometric System
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Lee Sang-Joon
Kim Jin-Kwon
Lee Young-Bum
Lee Myoung-Ho
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Abstract
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This paper is about the personal identification algorithm using an ECG that has been studied by a few researchers recently. Previously published algorithm can be classified as two methods. One is the method that analyzes ECG features and the other is the morphological analysis of ECG. The main characteristic of proposed algorithm uses together two methods. The algorithm consists of training and testing procedures. In training procedure, the features of all recognition objects’ ECG were extracted and the PCA was performed for morphological analysis of ECG. In testing procedure, 6 candidate ECG’s were chosen by morphological analysis and then the analysis of features among candidate ECG’s was performed for final recognition. We choose 18 ECG files from MIT-BIH Normal Sinus Rhythm Database for estimating algorithm performance. The algorithm extracts 100 heartbeats from each ECG file, and use 40 heartbeats for training and 60 heartbeats for testing. The proposed algorithm shows clearly superior performance in all ECG data, amounting to 90.96% heartbeat recognition rate and 100% ECG recognition rate.
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KEYWORD
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Electrocardiogram, Biometric, Personal Identification
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