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Human Identification Using Heartbeat Interval Features and ECG Morphology

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Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 201))

Abstract

This paper presents a novel method to characterize the ECG signal for human identification. The characterization process utilizes the analytical and appearance based techniques to analyze the ECG signal with an aim to make the measurements insensitive to noise and non-signal artifacts. We extract heartbeat interval features and interbeat interval features using analytical based technique and use them as a complementary information with the morphological features that are extracted using appearance based technique for improved identification accuracy. We perform identification using one-to-many comparisons based on match scores that are generated using statistical pattern matching technique. Results demonstrate that the proposed method for automated characterization of the ECG signal is efficiently used in identifying the normal as well as the arrhythmia subjects. In particular, the recognition accuracy for the subjects of MIT-BIH Arrhythmia database is reported to 87.37% whereas the subjects of our IIT(BHU) database are recognized with an accuracy of 92.88%.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering Institute of Engineering and Technology, Guatam Buddh Technical University, Lucknow, 226 021, India

    Yogendra Narain Singh

  2. Department of Computer Engineering, Indian Institute of Technology, Banaras Hindu University, Varanasi, 225 021, India

    Sanjay Kumar Singh

Authors
  1. Yogendra Narain Singh
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  2. Sanjay Kumar Singh
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Corresponding author

Correspondence to Yogendra Narain Singh .

Editor information

Editors and Affiliations

  1. South Asian University, Chankya Puri, New Delhi, 110021, India

    Jagdish Chand Bansal

  2. ABV - IIITM, Gwalior, Gwalior, 474015, Madhya Pradesh, India

    Pramod Kumar Singh

  3. , Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Kusum Deep

  4. , Department of Paper Technology, Indian Institute of Technology Roorkee, Saharanpur Campus, Roorkee, India

    Millie Pant

  5. , Department of Computer Science, Liverpool Hope University, Office: FML 412, Liverpool, Liverpool, L16 9JD, United Kingdom

    Atulya K. Nagar

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© 2013 Springer India

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Singh, Y.N., Singh, S.K. (2013). Human Identification Using Heartbeat Interval Features and ECG Morphology. In: Bansal, J., Singh, P., Deep, K., Pant, M., Nagar, A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol 201. Springer, India. https://doi.org/10.1007/978-81-322-1038-2_8

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  • DOI: https://doi.org/10.1007/978-81-322-1038-2_8

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-1037-5

  • Online ISBN: 978-81-322-1038-2

  • eBook Packages: EngineeringEngineering (R0)

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