Name
Abstract | ||
|---|---|---|
This study proposes a human authentication framework based on electrocardiogram signals that are robust to dynamic cardiac morphological conditions. The proposed method incorporates a stationary wavelet transform, an infinite feature selection, and a linear discriminant analysis. Evaluation experiments were conducted under three modulated situations: temporal variation, postural variation, and hea... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-bmt.2018.5183 | IET Biometrics |
Keywords | Field | DocType |
cardiology,electrocardiography,feature extraction,feature selection,medical signal processing,statistical analysis,wavelet transforms | Authentication,Feature selection,Pattern recognition,Computer science,Word error rate,Artificial intelligence,Linear discriminant analysis,Stationary wavelet transform | Journal |
Volume | Issue | ISSN |
8 | 6 | 2047-4938 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeehoon Kim | 1 | 0 | 0.34 |
| Dongsuk Sung | 2 | 0 | 0.34 |
| MyungJun Koh | 3 | 0 | 0.34 |
| Jason Kim | 4 | 75 | 6.88 |
| Kwang Suk Park | 5 | 266 | 46.43 |