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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Sequential Procedure for Individual Identity Verification Using ECG | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 243215 13 pages doi 10.1155 2009 243215 Research Article A Sequential Procedure for Individual Identity Verification Using ECG John M. Irvine1 and Steven A. Israel2 1 Advanced Signal Processing and Image Exploitation Group Draper Laboratory 555 Technology Square MS 15 Cambridge MA 02139 uSa 2 Systems and Technology Division SAIC 4001 Fairfax Drive Suite 450 Arlington VA 22203 USA Correspondence should be addressed to Steven A. Israel steven.a.israel@saic.com Received 20 October 2008 Revised 14 January 2009 Accepted 24 March 2009 Recommended by Kevin Bowyer The electrocardiogram ECG is an emerging novel biometric for human identification. One challenge for the practical use of ECG as a biometric is minimizing the time needed to acquire user data. We present a methodology for identity verification that quantifies the minimum number of heartbeats required to authenticate an enrolled individual. The approach rests on the statistical theory of sequential procedures. The procedure extracts fiducial features from each heartbeat to compute the test statistics. Sampling of heartbeats continues until a decision is reached either verifying that the acquired ECG matches the stored credentials of the individual or that the ECG clearly does not match the stored credentials for the declared identity. We present the mathematical formulation of the sequential procedure and illustrate the performance with measured data. The initial test was performed on a limited population twenty-nine individuals. The sequential procedure arrives at the correct decision in fifteen heartbeats or fewer in all but one instance and in most cases the decision is reached with half as many heartbeats. Analysis of an additional 75 subjects measured under different conditions indicates similar performance. Issues of generalizing beyond the laboratory setting are discussed and several avenues for future .
