REVIEW ARTICLE

Biomedical sensor technologies on the platform of mobile phones

  • Lin LIU 1 ,
  • Jing LIU , 1,2
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  • 1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China
  • 2. Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190, China

Received date: 07 Jan 2011

Accepted date: 22 Jan 2011

Published date: 05 Jun 2011

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

Biomedical sensors have been widely used in various areas of biomedical practices, which play an important role in disease detection, diagnosis, monitoring, treatment, health management, and so on. However, most of them and their related platforms are generally not easily accessible or just too expensive or complicated to be kept at home. As an alternative, new technologies enabled from the mobile phones are gradually changing such situations. As can be freely available to almost everyone, mobile phone offers a unique way to improve the conventional medical care through combining with various biomedical sensors. Moreover, the established systems will be both convenient and low cost. In this paper, we present an overview on the state-of-art biomedical sensors, giving a brief introduction of the fundamental principles and showing several new examples or concepts in the area. The focus was particularly put on interpreting the technical strategies to innovate the biomedical sensor technologies based on the platform of mobile phones. Some challenging issues, including feasibility, usability, security, and effectiveness, were discussed. With the help of electrical and mechanical technologies, it is expected that a full combination between the biomedical sensors and mobile phones will bring a bright future for the coming pervasive medical care.

Cite this article

Lin LIU , Jing LIU . Biomedical sensor technologies on the platform of mobile phones[J]. Frontiers of Mechanical Engineering, 2011 , 6(2) : 160 -175 . DOI: 10.1007/s11465-011-0216-0

Acknowledgments

This work was partially supported by the National High Technology Research and Development Program of China, Tsinghua-Yue-Yuen Medical Sciences Fund and Funding from School of Information Science and Technology of Tsinghua University.
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