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A Fatigue Measuring Protocol for Wireless Body Area Sensor Networks

  • Systems-Level Quality Improvement
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Abstract

As players and soldiers preform strenuous exercises and do difficult and tiring duties, they are usually the common victims of muscular fatigue. Keeping this in mind, we propose FAtigue MEasurement (FAME) protocol for soccer players and soldiers using in-vivo sensors for Wireless Body Area Sensor Networks (WBASNs). In FAME, we introduce a composite parameter for fatigue measurement by setting a threshold level for each sensor. Whenever, any sensed data exceeds its threshold level, the players or soldiers are declared to be in a state of fatigue. Moreover, we use a vibration pad for the relaxation of fatigued muscles, and then utilize the vibrational energy by means of vibration detection circuit to recharge the in-vivo sensors. The induction circuit achieves about 68 % link efficiency. Simulation results show better performance of the proposed FAME protocol, in the chosen scenarios, as compared to an existing Wireless Soccer Team Monitoring (WSTM) protocol in terms of the selected metrics.

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Acknowledgments

The authors would like to extend their sincere appreciation to the Deanship of Scientific Research at King Saud University for funding this research through Research Group Project NO.(RG#1435-051).

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Authors and Affiliations

  1. Institute of Space Technology, Islamabad, 44000, Pakistan

    Sana Akram

  2. COMSATS Institute of Information Technology, Islamabad, 44000, Pakistan

    Nadeem Javaid, Ashfaq Ahmad, Amir Hayat & Manzoor Ilahi

  3. CIS, Higher Colleges of Technology, Fujairah Campus, Abu Dhabi, United Arab Emirates

    Zahoor Ali Khan

  4. King Saud University, Riyadh, Saudi Arabia

    Muhammad Imran

  5. Qatar University, Doha, Qatar

    Mohsen Guizani

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  1. Sana Akram
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Correspondence to Nadeem Javaid.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Akram, S., Javaid, N., Ahmad, A. et al. A Fatigue Measuring Protocol for Wireless Body Area Sensor Networks. J Med Syst 39, 193 (2015). https://doi.org/10.1007/s10916-015-0338-8

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  • DOI: https://doi.org/10.1007/s10916-015-0338-8

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