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báo cáo hóa học: "A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation | Journal of NeuroEngineering and Rehabilitation BioMed Central Research Open Access A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation Emil Jovanov 1 Aleksandar Milenkovic1 Chris Otto1 and Piet C de Groen2 Address Electrical and Computer Engineering Department University of Alabama in Huntsville Huntsville Alabama 35899 USA and 2Division of Biomedical Informatics Mayo Clinic College of Medicine Rochester Minnesota 55905 USA Email Emil Jovanov - jovanov@ece.uah.edu Aleksandar Milenkovic - milenka@ece.uah.edu Chris Otto - chrisaotto@yahoo.com Piet C de Groen - jovanov@ece.vah.edu Corresponding author Published 01 March 2005 Received 28 January 2005 Journal of NeuroEngineering and Rehabilitation 2005 2 6 doi 10.1186 1743-0003-2-6 Accepted 01 March 2005 This article is available from http www.jneuroengrehab.cOm content 2 1 6 2005 Jovanov et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Recent technological advances in integrated circuits wireless communications and physiological sensing allow miniature lightweight ultra-low power intelligent monitoring devices. A number of these devices can be integrated into a Wireless Body Area Network WBAN a new enabling technology for health monitoring. Methods Using off-the-shelf wireless sensors we designed a prototype WBAN which features a standard ZigBee compliant radio and a common set of physiological kinetic and environmental sensors. Results We introduce a multi-tier telemedicine system and describe how we optimized our prototype WBAN implementation for computer-assisted physical rehabilitation applications and ambulatory monitoring. The system performs real-time analysis of sensors data provides guidance