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| Content Provider | IET Digital Library |
|---|---|
| Author | Coutinho, David Pereira Silva, Hugo Gamboa, Hugo Fred, Ana Figueiredo, Mário |
| Abstract | The electrocardiogram (ECG) is a non-invasive and widely used technique for cardiac electrophysiological assessment. Although the ECG has traditionally only been used for functional diagnostic and evaluation, several advances in electrophysiological sensing have made available robust signal acquisition devices, particularly suited for ambulatory conditions, widening its range of applications. In particular, recent work has shown the potential of the ECG as a biometric trait, both for human identification and authentication. This study sets the ground for an ECG-based real-time biometric system. The authors describe an experimental setup and the evaluation of new fiducial and non-fiducial approaches, including data acquisition, signal processing, feature extraction and analysis and classification methodologies, showing the applicability of the ECG as a real-time biometric. Performance evaluation was done in clinical-grade ECG recording from 51 healthy control individuals (of a publicly available benchmark dataset) as well as on data collected from 26 healthy volunteers performing computer activities without any posture or motion limitations, thus simulating a regular computer usage scenario. |
| Starting Page | 64 |
| Ending Page | 75 |
| Page Count | 12 |
| ISSN | 20474938 |
| Volume Number | 2 |
| e-ISSN | 20474946 |
| Issue Number | Issue 2, Jun (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-bmt/2/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2012.0055 |
| Journal | IET Biometrics |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Ambulatory Condition Authorisation Bioelectric Phenomena Bioelectric Signal Biomimetics Cardiac Electrophysiological Assessment Classification Methodologies Clinical-grade ECG Recording Computer Activities Computer Usage Scenario Data Acquisition Data Security Digital Signal Processing ECG-based Real-time Biometric System Electrocardiography Electrophysiological Sensing Feature Analysis Methodologies Feature Extraction Functional Diagnostics Functional Evaluation Healthy Control Individuals Human Authentication Human Identification Nonfiducial Approach Noninvasive Technique Performance Evaluation Real Time System Robust Signal Acquisition Device Signal Detection Signal Processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Vision and Pattern Recognition Software |
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