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A Biofeedback System for Mobile Healthcare Based on Heart Rate Variability

  • Conference paper
Smart Health (ICSH 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8040))

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Abstract

Heart rate variability biofeedback provides a new technique for the evaluation of autonomic nervous system status and the treatment of cardiovascular diseases. This paper presents a mobile and real-time monitoring healthcare application of heart rate variability biofeedback, referred to as uCoherence. It consists of an automated approach to help people to voluntarily regular the autonomic system via breath control, finding the harmony point in autonomic nervous system and the best resonant frequency in cardiopulmonary system.

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Author information

Authors and Affiliations

  1. Sensor Networks and Application Research Center (SNARC), University of Chinese Academy Sciences, Beijing, China

    Meijun Xiong, Rui He, Lianying Ji & Jiankang Wu

Authors
  1. Meijun Xiong
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  2. Rui He
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  3. Lianying Ji
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  4. Jiankang Wu
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Editor information

Editors and Affiliations

  1. MIS Department, The University of Arizona, Tucson, Arizona, U.S.A.

    Daniel Zeng

  2. Department of Information Science and Technology, Drexel University, USA

    Christopher C. Yang

  3. Dept. of Computer Science and Information Engineering, Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan

    Vincent S. Tseng

  4. Tsinghua University, Beijing, China

    Chunxiao Xing

  5. Department of Management Information Systems, University of Arizona, McClelland Hall 430, 1130 East Helen Street, 85721, Tucson, AZ, USA

    Hsinchun Chen

  6. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Fei-Yue Wang

  7. Chinese Academy of Sciences, Beijing, China

    Xiaolong Zheng

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Xiong, M., He, R., Ji, L., Wu, J. (2013). A Biofeedback System for Mobile Healthcare Based on Heart Rate Variability. In: Zeng, D., et al. Smart Health. ICSH 2013. Lecture Notes in Computer Science, vol 8040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39844-5_11

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  • DOI: https://doi.org/10.1007/978-3-642-39844-5_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39843-8

  • Online ISBN: 978-3-642-39844-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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