International Journal of Applied Science and Engineering
Published by Chaoyang University of Technology

Yung-Ping Liu, Hsieh-Ching Chen1, Peng-Cheng Sung

Department of Industrial Engineering and Management, Chaoyang University of Technology, Taiwan, R.O.C.


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ABSTRACT


This work proposed a novel 4-channel wireless data logger that uses electromyography (EMG), electrocardiograph (EKG), and accelerometer transducers for field measurements of biosignals. The logger, which weighs 102 g (including the battery), continually acquires 4-channel 16-bit analog signals at 1000 Hz/channel. The acquired data are saved on a microSD memory card for subsequent analysis. The logger utilizes a ZigBee transceiver module that transmits acquired data to a remote receiver. The logger can run for over 6 consecutive hours at full load when powered by two 860 mAh batteries. The remote receiver unit, connected to a PC or laptop via a USB interface, was controlled by Window-based monitoring software for communicating with the logger. The monitoring software programmed by Borland C++ Builder operated the logger and monitored real-time data sent from the logger. Three laboratory experiments and two prolonged field tests were performed to test logger feasibility. The experimental results demonstrate that the system is reliable and feasible for field measurements of biosignals for a prolonged period.


Keywords: EKG; EMG; telemetry; data acquisition; monitoring system


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REFERENCES


  1. [1] Juul-Kristensen, B., Fallentin, N., Hansson, G-Å., Madeleine, P., Andersen, J. H. and Ekdahl, C. 2002. Physical workload during manual and mechanical deboning of poultry. International Journal of Industrial Ergonomics, 29: 107-15.

  2. [2] Sporrong, H., Sandsjö, L., Kadefors, R. and Herberts, P. 1999. Assessment of workload and arm position during different work sequences: a study with portable devices on construction workers. Applied Ergonomics, 30: 495-503.

  3. [3] Stål, M., Hansson, G-Å. and Moritz, U. 1999. Wrist positions and movements as possible risk factors during machine milking. Applied Ergonomics, 30: 527- 533.

  4. [4] Stål, M., Hansson, G-Å. and Moritz, U. 2000. Upper extremity muscular load during machine milking. International Journal of Industrial Ergonomics, 26: 9-17.

  5. [5] Luharuka, R. and Gao, R. X. 2003. Design and realization of a portable data logger for physiological sensing. IEEE Transactions on Instrumentation and Measurement, 52: 1289-1295.

  6. [6] Lin, Y. H., Jan, I. C., Ko, P. C., Chen, Y. Y., Wong, J. M. and Jan, G. J. 2004. A wireless PDA-based physiological monitoring system for patient transport.   IEEE       Transaction    on   Information Technology in Biomedicine, 8: 439-447.

  7. [7] Chang Chien, J. R. and Tai, C. C. 2005. A new wireless-type physiological signal measuring system using a PDA and the Bluetooth technology. Biomedical Engineering Applications, Basis, and Communication, 17: 229-235.

  8. [8] Lin, R., Lee, R. G., Tseng, C. L., Wu, Y. F. and Jiang, J. A. 2006. Design and implementation of wireless multi-channel EEG recording system and study of EEG clustering method. Biomedical Engineering Applications, Basis, and Communication, 18: 276-283.

  9. [9] Lin, J.S., Huang, S. Y., Pan, K. W. and Liu, S. H. 2009. A physiological signal monitoring system based on an SoC platform and wireless network technologies in homecare technology. Journal of Medical and Biological Engineering, 29: 47-51.

  10. [10] Pandian, P. S., Safeer, K. P., Gupta, P., Shakunthala, D. T., Sundersheshu, B. S. and Padaki, V. C. 2008. Wireless sensor network for wearable physiological monitoring. Journal of Networks, 3: 21-29.

  11. [11] Teng, X. F., Zhang, Y. T., Poon, C. C. Y. and Bonato, P. 2008. Wearable medical systems for p-health. IEEE Reviews in Biomedical Engineering, 1: 62-74.

  12. [12] Liu Y. P., Chen, H. C. and Chen, C. Y. 2006. Portable data logger for worksite measurement of physical workload. Journal of Medical and Biological Engineering, 26: 21-28.

  13. [13] Chen, H. C., Chen, C. Y., Lee, C. L., Wu, H. C. and Lou, S. Z. 2006. Data logging and analysis tools for worksite measurement of physical workload. 16th IEA World Congress, July 10th to July 14th, 2006.

  14. [14] Ferro, E. and Potorti, F., 2005. Bluetooth and Wi-Fi wireless protocols: A survey and a comparison. IEEE Transaction on Wireless Communications, 12: 12-16.

  15. [15] Wang, X., Ren, Y., Zhao, J., Guo, Z. and Yao, R., 2004. Comparison of IEEE 802.11e and IEEE 802.15.3 MAC. IEEE CAS Symp. Emerging Technologies: Mobile & Wireless Communication, May, 2, 2004, 675-680.

  16. [16] Baker, N. 2005. ZigBee and Bluetooth: strengths and weaknesses for industrial applications. IEE Computing and Control Engineering, 16: 20-25.

  17. [17] Digi International Inc. 2008. XBee®/ XBee-PRO® OEM RF Modules Product Manual.


ARTICLE INFORMATION




Accepted: 2010-09-07
Available Online: 2010-10-01


Cite this article:

Liu, Y.-P., Chen, H.-C., Sung, P.-C. 2010. Wireless logger for biosignals. International Journal of Applied Science and Engineering, 8, 27–37. https://doi.org/10.6703/IJASE.2010.8(1).27


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