ETSN  Vol.1 No.2 , June 2012
A WBAN for Human Movement Kinematics and ECG Measurements
ABSTRACT
Biomedical applications of body area networks (BANs) are evolving, where taking periodic medical readings of patients via means wireless technologies at home or in the office will aid physicians to periodically supervise the patient’s medical status without having to see the patient. Thus, one important objective of BANs is to provide the doctor with the medical readings that can be collected electronically without being in close proximity to the patient. This is done through the measurement of the patient’s physiological signals via means of wearable sensors. This paper investigates wireless BAN cooperation via actual measurements of human movement kinematics and electrocardiogram (ECG), which are believed to provide patients with easy healthcare for continuous health-monitoring. The collected information will be processed using specially designed software, which in turn will enable the patient to send a full medical chart to the physician’s electronic device. In this way, physicians will have the ability to monitor their patients more efficiently.

Cite this paper
A. Baraka, A. Shokry, I. Omar, S. Kamel, T. Fouad, M. El-Nasr and H. Shaban, "A WBAN for Human Movement Kinematics and ECG Measurements," E-Health Telecommunication Systems and Networks, Vol. 1 No. 2, 2012, pp. 19-25. doi: 10.4236/etsn.2012.12004.
References
[1]   L. D’Astous and B. MacWilliams, Current challenges in clinical gait analysis, ASB 29th Annual Meeting, Aug. 2002, p. 946.s

[2]   A. Leardini L. Chiari A. Cappozzo, and U. Della Croce, Human movement analysis using stereophotogrammetryc part 1: theoretical background, Gait and Posture, vol. 21, no. 2, pp. 186–196, Feb. 2005.

[3]   H. Shaban (2010), A novel highly accurate wireless wearable human locomotion tracking and gait analysis system via UWB radios, Ph.D. Dissertation, Virginia Tech, Blacksburg, USA.

[4]   H. Shaban, M. Abou El-Nasr, and R. M. Buehrer (2009), Performance of ultralow-power IR-UWB correlator receivers for highly accurate wearable human locomotion tracking and gait analysis systems, IEEE Global Tele-communications Conference, GLOBECOM ’09, 30 Nov. - 4 Dec. 2009, 1–6.

[5]   H. Shaban, M. Abou El-Nasr, and R. Buehrer, “Toward a highly accurate ambulatory system for clinical gait analysis via uwb radios,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 2, Mar. 2010 pp. 284–291.

[6]   H. A. Shaban, M. Abou El-Nasr, and R. M. Buehrer, “Reference range correlation (RRcR) ranging and performance bounds for on-body UWB-based body sensor networks,” Progress In Electromagnetics Research B, vol. 35, 2011, pp. 69-85,.

[7]   M. Abou El-Nasr, H. A. Shaban, and R. M. Buehrer, “Key design parameters and sensor-fusion for low-power wearable UWB-based motion tracking and gait analysis systems,” Progress In Electromagnetics Research Letters, vol. 29, 2012, pp. 115-126.

[8]   M. Abou El-Nasr, H. Shaban, and R. Buehrer, “Low-power IR-UWB coherent TOA estimators with suboptimal sinusoidal templates for UWB-based body area networks,” Wireless Networks (WINET), vol. 17, no. 7, Oct. 2011, pp. 1641–1648.

[9]   H. Shaban, M. Abou El-Nasr, and R. Buehrer, “Toward a highly accurate ambulatory system for clinical gait analysis via uwb radios,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 2, Mar. 2010, pp. 284–291.

[10]   T. Pawar, N. S. Anantakrishnan, S. Chaudhuri and S. P. Duttagupta, Impact analysis of body movement in ambulatory ECG (2007), Proceedings of the 29th Annual International Conference of the IEEE EMBS, Aug 23-26, 5453–5456.

[11]   A. Burns, B. R. Greene, M. J. McGrath, T. J. O’Shea, B. Kuris, S. M. Ayer, F. Stroiescu, and V. Cionca, “SHIMMERTM – a wireless sensor platform for noninvasive biomedical research,” IEEE Sensors Journal, vol. 10, no. 9, Sept., 2010, pp. 1527–1534.

[12]   Shimmer discovery in motion software, http://www.shimmer research.com/download/softwares, accessed 2012.

[13]   Mathworks MATLAB and SIMULINK for technical computing, http://www.mathworks.com/, accessed 2012.

 
 
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