HeartID: A Multiresolution Convolutional Neural Network for ECG-Based Biometric Human Identification in Smart Health Applications

@article{Zhang2017HeartIDAM,
  title={HeartID: A Multiresolution Convolutional Neural Network for ECG-Based Biometric Human Identification in Smart Health Applications},
  author={Qingxue Zhang and Dian Zhou and Xuan Zeng},
  journal={IEEE Access},
  year={2017},
  volume={5},
  pages={11805-11816}
}
Body area networks, including smart sensors, are widely reshaping health applications in the new era of smart cities. To meet increasing security and privacy requirements, physiological signal-based biometric human identification is gaining tremendous attention. This paper focuses on two major impediments: the signal processing technique is usually both complicated and data-dependent and the feature engineering is time-consuming and can fit only specific datasets. To enable a data-independent… CONTINUE READING

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