Skip to main content
SpringerLink
Log in
Book cover

International Conference on Future Information Technology

International Conference on Multimedia and Ubiquitous Engineering

FutureTech 2017, MUE 2017: Advanced Multimedia and Ubiquitous Engineering pp 601–606Cite as

Design of ECG Data Compression Algorithm for Efficient M2M-Based Mass Biometric Data Transmission

  • Conference paper
  • First Online:

  • 1359 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 448))

Abstract

Thanks to the design of different portable subminiature sensors and wired and wireless communication technology, the U-Healthcare service is getting vitalized. A mass amount of raw data is processed in real time when this U-Healthcare service is provided, and efficient processing and storage technologies are required accordingly. Therefore, this paper proposed an ECG data compression algorithm that is improved to efficiently transmit M2M-based mass biometric data.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Jang, S.H., Kim, R.H., Lee, C.W.: Effect of u-healthcare service quality on usage intention in a healthcare service. Technol. Forecast. Soc. Change 13, 396–403 (2016)

    Article  Google Scholar 

  2. Yin, L., Liu, C., Lu, X., Chen, J., Liu, C.: Efficient compression algorithm with limited resource for continuous surveillance. KSII Trans. Internet Inf. Syst. (TIIS) 10(11), 5476–5496 (2016)

    Google Scholar 

  3. El-Saadawy, H., Tantawi, M., Shedeed, H.A., Tolba, M.F.: Electrocardiogram (ECG) classification based on dynamic beats segmentation. In: Proceedings of the 10th International Conference (2016)

    Google Scholar 

  4. Kumar, V., Saxena, S.C., Giri, V.K., Singh, D.: Improved modified AZTEC technique for ECG data compression: effect of length of parabolic filter on reconstructed signal. Comput. Electr. Eng. 31(4), 334–344 (2005)

    Article  Google Scholar 

  5. Song, J.S., Kunz, A., Prasad, R.R.V., Sheng, Z., Yu, R.: Research to standards: next generation IoT/M2M applications, networks and architectures. IEEE Commun. Mag. 54(12), 14–15 (2016)

    Article  Google Scholar 

  6. Kärkkäinen, J., Kempa, D., Puglisi, S.J.: Lazy Lempel-Ziv factorization algorithms. J. Exp. Algorithmics (JEA) 21, 1–19 (2016)

    MathSciNet  Google Scholar 

  7. Handley, J.C.: Bit vector architecture for computational mathematical morphology. IEEE Trans. Image Process. 12(2), 153–158 (2003)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of IT Convergence Engineering, Gachon University, Seongnam, South Korea

    Jae-Sung Shim, Seung-Su Yang & Young-Hwan Jang

  2. Correspondence Center of Korea Internet and Security Agency, Seoul, South Korea

    Yong-Wan Ju

  3. Department of Computer Engineering, Gachon University, Seongnam, South Korea

    Seok-Cheon Park

Authors
  1. Jae-Sung Shim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Seung-Su Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Young-Hwan Jang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yong-Wan Ju
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Seok-Cheon Park
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Seok-Cheon Park .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

  2. School of Computing and Information Sciences, Florida International University, Miami, Florida, USA

    Shu-Ching Chen

  3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, Adelaide, Australia

    Kim-Kwang Raymond Choo

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Shim, JS., Yang, SS., Jang, YH., Ju, YW., Park, SC. (2017). Design of ECG Data Compression Algorithm for Efficient M2M-Based Mass Biometric Data Transmission. In: Park, J., Chen, SC., Raymond Choo, KK. (eds) Advanced Multimedia and Ubiquitous Engineering. FutureTech MUE 2017 2017. Lecture Notes in Electrical Engineering, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-10-5041-1_95

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-5041-1_95

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5040-4

  • Online ISBN: 978-981-10-5041-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation