Skip to main content

Quantitative Evaluation of Pulse Diagnosis Using Capillary Blood Flow of Images

  • Conference paper
  • First Online:
  • 1317 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 957))

Abstract

In this research the purpose is to evaluate pulse diagnosis in “medical medicine” from a scientific point of view. Also it is scientifically assessing the relevance of the pointed out diet contents and pulse diagnosis. By evaluating and examining above, evaluating the usefulness of pulse diagnosis to health.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Narumi, K., et al.: Development and experimental validation of mathematical model for acquisition of information in pulse diagnosis. Proc. Biofrontier. 17, 55–56 (2006)

    Google Scholar 

  2. Takashima, M., et al.: Development of new apparatus for oriental pulse diagnosis. Jpn. J. Orient. Med. 47(4), 635–643 (1997)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yumie Osada .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Osada, Y. et al. (2020). Quantitative Evaluation of Pulse Diagnosis Using Capillary Blood Flow of Images. In: Lightner, N., Kalra, J. (eds) Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. AHFE 2019. Advances in Intelligent Systems and Computing, vol 957. Springer, Cham. https://doi.org/10.1007/978-3-030-20451-8_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-20451-8_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20450-1

  • Online ISBN: 978-3-030-20451-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics