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Heart-Rate Resistance Electrocardiogram Identification Based On Slope-Oriented Neural Networks

Tsu-Wang Shen, Shan-Chun Chang, Chih-Hsien Wang, Te-Chao Fang
2016 Zenodo  

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For electrocardiogram (ECG) biometrics system, it is a tedious process to pre-install user's high-intensity heart rate (HR) templates in ECG biometric systems. Based on only resting enrollment templates, it is a challenge to identify human by using ECG with the high-intensity HR caused from exercises and stress. This research provides a heartbeat segment method with slope-oriented neural networks against the ECG morphology changes due to high intensity HRs. The method has overall system
more » ... at 97.73% which includes six levels of HR intensities. A cumulative match characteristic curve is also used to compare with other traditional ECG biometric methods.
doi:10.5281/zenodo.1127170 fatcat:2nk7axftsjbmdatqz2efopxhtu
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Tsu-Wang Shen, Shan-Chun Chang, Chih-Hsien Wang, Te-Chao Fang. "Heart-Rate Resistance Electrocardiogram Identification Based On Slope-Oriented Neural Networks." Zenodo (2016)