title: Sparse Matrix for ECG Identification with Two-Lead Features.
abstract: Electrocardiograph (ECG) human identification has the potential to improve biometric security. However, improvements in ECG identification and feature extraction are required. Previous work has focused on single lead ECG signals. Our work proposes a new algorithm for human identification by mapping two-lead ECG signals onto a two-dimensional matrix then employing a sparse matrix method to process the matrix. And that is the first application of sparse matrix techniques for ECG identification. Moreover, the results of our experiments demonstrate the benefits of our approach over existing methods.
authors.affiliation: Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong 518052, China.
authors.forename: Kuo-Kun
authors.initials: KK
authors.lastname: Tseng
authors.affiliation: Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong 518052, China.
authors.forename: Jiao
authors.initials: J
authors.lastname: Luo
authors.affiliation: School of Computing and Mathematical Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK.
authors.forename: Robert
authors.identifier: 0000-0003-3805-5974
authors.initials: R
authors.lastname: Hegarty
authors.affiliation: School of Electronic and Communication, Shenzhen Graduate School, Peking University, Shenzhen, Guangdong 518052, China.
authors.forename: Wenmin
authors.initials: W
authors.lastname: Wang
authors.affiliation: Shenzhen Key Laboratory of Internet Information Collaboration, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong 518052, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Haiting
mesh_terms: D000465:Algorithms; D056667:Biometric Identification / Q000379:methods; D016208:Databases, Factual; D004562:Electrocardiography; D006801:Humans; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted