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An efficient and low cost Windows Mobile BSN monitoring system based on TinyOS

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Abstract

Monitoring methods for human body parameters are used over years to identify health conditions and biofeedback. For example, the core-body temperature is correlated with women fertility and ovulation periods. Mobile devices offer an extraordinary solution for health monitoring with mobility and continuous monitoring. This paper presents a Windows Mobile based system for body parameters monitoring. The proposed system comprises a SHIMMER-based body sensor network used to measure and collect body parameters, and a mobile application for personal monitoring. The communication between the sensor and the mobile device is performed over a Bluetooth connection. This system provides a low cost, reliable and robust mobile solution platform with full mobility support for active people that should be under continuous monitoring. The system was evaluated and validated, and it is ready for use.

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Acknowledgements

This work has been partially supported by the Instituto de Telecomunicações, Next Generation Networks and Applications Group (NetGNA), by National Funding from the FCT—Fundação para a Ciência e a Tecnologia through the PEst-OE/EEI/LA0008/2013 Project, by Grant-in-Aid for Scientific Research (S)(2122002) of the Ministry of Education, Culture, Sports, Science and Technology, Japan, and by the AAL4ALL (Ambient Assisted Living for All), project co-funded by COMPETE under FEDER via QREN Programme.

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Authors and Affiliations

  1. Department of Informatics, University of Beira Interior, Covilhã, Portugal

    Orlando R. E. Pereira, João M. L. P. Caldeira & Joel J. P. C. Rodrigues

  2. Instituto de Telecomunicações, Covilhã, Portugal

    João M. L. P. Caldeira & Joel J. P. C. Rodrigues

  3. EST, Polytechnic Institute of Castelo Branco, Castelo Branco, Portugal

    Orlando R. E. Pereira & João M. L. P. Caldeira

  4. Department of Multimedia Engineering, Graduated School of Information Science and Technology, Osaka University, Osaka, Japan

    Lei Shu

Authors
  1. Orlando R. E. Pereira
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  2. João M. L. P. Caldeira
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  3. Lei Shu
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  4. Joel J. P. C. Rodrigues
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Corresponding author

Correspondence to Joel J. P. C. Rodrigues.

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Pereira, O.R.E., Caldeira, J.M.L.P., Shu, L. et al. An efficient and low cost Windows Mobile BSN monitoring system based on TinyOS. Telecommun Syst 55, 115–124 (2014). https://doi.org/10.1007/s11235-013-9756-4

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  • DOI: https://doi.org/10.1007/s11235-013-9756-4

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