April 2, 2015Journal of Medical Engineering & Technology

A novel palm-based biometric system fusing ECG and EMG signals with Fourier descriptors and an Optimum-Path Forest classifier showed promising results for robust individual authentication.

Q: What is the clinical evidence from this study?

Study design: Other. Population: Biometric authentication. Intervention: Biometric authentication using ECG and EMG signals. Primary outcome: Individual authentication performance.

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Population

3750 ECG beats from five ECG databases (MIT-BIH, ST-T, NSR, PTB and ECG-ID) and in-house volunteers

Design

Other

Key result

A novel palm-based biometric system fusing ECG and EMG signals with Fourier descriptors and an Optimum-Path Forest classifier showed promising results for robust individual authentication.

Authors

NBN. Belgacem RFRégis Fournier ANAmine Naït‐Ali

Discussion

Member takes

Overview

May support biometric authentication in healthcare settings; leaves open large-scale validation and security testing.

Structured PICO

Population

A study utilizing 3,750 ECG beats from five public databases and in-house volunteers to evaluate a novel biometric authentication system based on ECG and EMG signals.

Intervention

Biometric authentication system using fusion of ECG and EMG signals, feature extraction via Fourier descriptors, and Optimum-Path Forest classifier

Outcome

Effectiveness of person authenticationsurrogate

A novel biometric system fusing ECG and EMG signals demonstrates potential as a secure and reliable method for individual authentication.

Cite This Study

Belgacem et al. (2015) studied Biometric authentication. Biometric authentication using ECG and EMG signals was evaluated on Individual authentication performance. A novel palm-based biometric system fusing ECG and EMG signals with Fourier descriptors and an Optimum-Path Forest classifier showed promising results for robust individual authentication.

synapsesocial.com/papers/6a71cff526a7f98052ddfcd6 https://doi.org/10.3109/03091902.2015.1021429

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April 2, 2015Journal of Medical Engineering & Technology

A novel palm-based biometric system fusing ECG and EMG signals with Fourier descriptors and an Optimum-Path Forest classifier showed promising results for robust individual authentication.

View Full Paper

Ask AI

Bookmark

Population

3750 ECG beats from five ECG databases (MIT-BIH, ST-T, NSR, PTB and ECG-ID) and in-house volunteers

Design

Other

Key result

A novel palm-based biometric system fusing ECG and EMG signals with Fourier descriptors and an Optimum-Path Forest classifier showed promising results for robust individual authentication.

Authors

NBN. Belgacem RFRégis Fournier ANAmine Naït‐Ali

Discussion

Member takes

Overview

May support biometric authentication in healthcare settings; leaves open large-scale validation and security testing.

Structured PICO

Population

A study utilizing 3,750 ECG beats from five public databases and in-house volunteers to evaluate a novel biometric authentication system based on ECG and EMG signals.

Intervention

Biometric authentication system using fusion of ECG and EMG signals, feature extraction via Fourier descriptors, and Optimum-Path Forest classifier

Outcome

Effectiveness of person authenticationsurrogate

A novel biometric system fusing ECG and EMG signals demonstrates potential as a secure and reliable method for individual authentication.

Cite This Study

synapsesocial.com/papers/6a71cff526a7f98052ddfcd6 https://doi.org/10.3109/03091902.2015.1021429

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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