ECG-Based Subject Identification Using Statistical Features and Random Forest

• Published in: Journal of sensors Vol. 2019; no. 2019; pp. 1 - 13
• Main Authors: Aljafar, Latifah M., Alshebeili, Saleh, Alrshoud, Saud R., Alotaiby, Turky N.
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2019; Hindawi; John Wiley & Sons, Inc
• Subjects: Access control; Accuracy; Algorithms; Biometric identification; Biometrics; Classifiers; Datasets; Electrocardiography; Feature extraction; Identification systems

In this work, a nonfiducial electrocardiogram (ECG) identification algorithm based on statistical features and random forest classifier is presented. Two feature extraction approaches are investigated: direct and band-based approaches. In the former, eleven simple statistical features are directly e...