Estimating Blood Pressure with a Smartphone

  • Rong-Chao Peng
  • Wen-Rong Yan
  • Xiao-Lin ZhouEmail author
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 64)


Cardiovascular disease like hypertension is one of the top killers of human’s life.



This work was supported in part by the National Natural Science Foundation of China (no. 61401453), the STS Key Health Program of Chinese Academy of Sciences (no. KFJEW-STS-097 and KFJ-EW-STS-095), the External Cooperation Program of the Chinese Academy of Sciences (GJHZ1212), the Guangdong Innovation Research Team Fund for Low-Cost Healthcare Technologies in China, the Key Lab for Health Informatics of Chinese Academy of Sciences, and the Enhancing Program of Key Laboratories of Shenzhen City (no. ZDSY20120617113021359).


  1. 1.
    F. Lamonaca, K. Barbe, Y. Kurylyak, et al., “Application of the Artificial Neural Network for blood pressure evaluation with smartphones,” in 2013 IEEE 7th Intl. Conf. on Intell. Data Acq. and Advanced Comput. Sys., IDAACS 2013, Sep 12, 2013 - Sep 14, 2013, Berlin, Germany, 2013, pp. 408–412.Google Scholar
  2. 2.
    V. Chandrasekaran, R. Dantu, S. Jonnada, et al, “Cuffless differential blood pressure estimation using smart phones,” IEEE Trans. on Biomed. Eng., vol. 60, pp. 1080–1089, Apr 2013.CrossRefGoogle Scholar
  3. 3.
    C.-C. Chang and C.-J. Lin, “LIBSVM: A library for support vector machines,” Acm Trans. on Intell. Sys. and Tech., vol. 2, pp. 1–27, 2011.CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Chinese Academy of SciencesShenzhen Institutes of Advanced TechnologyShenzhenChina

Personalised recommendations