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Paper Details

Biometric identification of person using ECG signal

Nikita Verma1*and Manish Rana2

Journal Title:Journal of Chemical, Biological and physical sciences

Biomedical signals make it possible to offer secure and flexible authentication system. Biomedical signal are acquired by a sensor, transducer, electrode, and is converted to proportional voltage or current for processing or storage. ECG is traditionally acquired for clinical diagnosis of cardiac function but recently ECG signals are used in personal identification. Methodologies include preprocessing, feature extraction, classification. Pre-processing includes removal of noise from ECG signal. Feature extraction includes extracting various features from these ECG signals which can be further used for identification. Classification is the final step to compare extracted features with the one stored in data base.