An Ensemble Model of DL for ECG-Based Human Identification

• Published in: IEEE transactions on instrumentation and measurement Vol. 73; pp. 1 - 15
• Main Authors: Begum, Ritu Nazneen Ara, Sharma, Ambalika, Singh, Girish Kumar
• Format: Journal Article
• Language: English
• Published: New York IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Arrhythmia; Artificial neural networks; Biological system modeling; Biometrics (access control); Datasets; Electrocardiogram (ECG)-based human identification; Electrocardiography; Feature extraction; heart rate variability (HRV); intra-subject variability; Recording; Rejection rate; Sensitivity; Tachycardia; U-Net

In this study, an ensemble model of U-Net and artificial neural network (ANN) is developed for electrocardiogram (ECG)-based human identification. This study specifically presents the impact of the intra-subject variability parameter on the efficacy of the model. Extensive experimentation using a da...