Abstract
Cardiovascular disease like hypertension is one of the top killers of human’s life.
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References
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.
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.
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.
Acknowledgements
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).
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Peng, RC., Yan, WR., Zhou, XL. (2019). Estimating Blood Pressure with a Smartphone. In: Zhang, YT., Carvalho, P., Magjarevic, R. (eds) International Conference on Biomedical and Health Informatics. ICBHI 2015. IFMBE Proceedings, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-10-4505-9_25
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DOI: https://doi.org/10.1007/978-981-10-4505-9_25
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