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The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or.pdf format to the submission email: ijpmbs@ejournal.net.
You’ll be given a paper number if your submission is successful. Your paper then will undergo peer review process, which may take approximately one and a half months under normal circumstances, three tops.
After blind peer review, you will receive the notification letter with the review result of your paper...
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The journal publishes full research papers.[Read More]
 

Block Projection Based Feature Extraction for Biometric Recognition with Multi-lead ECG

Shun-Chi Wu and Peng-Tzu Chen
Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.

Abstract—In order to reveal discriminant information from the multi-lead ECG to facilitate the ECG biometric recognition, two novel feature extraction algorithms are proposed in this paper. As opposed to the existing singlelead based techniques, the proposed algorithms which rely on the idea of block projection allow the features to be extracted without breaking the structure between the leads so that more information can be exploited for recognition. In addition, the algorithms require only one fiducial point (i.e., R peaks) to be determined and are applicable to any multi-lead ECG regardless of its number of leads. Detailed experiments show that the proposed algorithms outperform the existing single-lead based approaches.

Index Terms—biometric recognition, electrocardiogram (ECG), feature extraction, classification

Cite: Shun-Chi Wu and Peng-Tzu Chen, " Block Projection Based Feature Extraction for Biometric Recognition with Multi-lead ECG " International Journal of Pharma Medicine and Biological Sciences, Vol. 4, No. 2, pp. 97-100, April 2015. doi: 10.18178/ijpmbs.4.2.97-100
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