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Innovation and Translation Efforts in Wireless Medical Connectivity, Telemedicine and eMedicine: A Story from the RFID Center of Excellence at the University of Pittsburgh

Overview of attention for article published in Annals of Biomedical Engineering, July 2013
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Title
Innovation and Translation Efforts in Wireless Medical Connectivity, Telemedicine and eMedicine: A Story from the RFID Center of Excellence at the University of Pittsburgh
Published in
Annals of Biomedical Engineering, July 2013
DOI 10.1007/s10439-013-0873-8
Pubmed ID
Authors

Ervin Sejdić, Michael A. Rothfuss, Joshua R. Stachel, Nicholas G. Franconi, Kara Bocan, Michael R. Lovell, Marlin H. Mickle

Abstract

Translational research has recently been rediscovered as one of the basic tenants of engineering. Although many people have numerous ideas of how to accomplish this successfully, the fundamental method is to provide an innovative and creative environment. The University of Pittsburgh has been accomplishing this goal though a variety of methodologies. The contents of this paper are exemplary of what can be achieved though the interaction of students, staff, faculty and, in one example, high school teachers. While the projects completed within the groups involved in this paper have spanned other areas, the focus of this paper is on the biomedical devices, that is, towards improving and maintaining health in a variety of areas. The spirit of the translational research is discovery, invention, intellectual property protection, and the creation of value through the spinning off of companies while providing better health care and creating jobs. All but one of these projects involve wireless radio frequency (RF) energy for delivery. The remaining device can be wirelessly connected for data collection.

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The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Student > Master 13 18%
Researcher 7 10%
Professor > Associate Professor 5 7%
Student > Doctoral Student 4 6%
Other 13 18%
Unknown 17 24%
Readers by discipline Count As %
Engineering 13 18%
Medicine and Dentistry 13 18%
Computer Science 5 7%
Social Sciences 3 4%
Nursing and Health Professions 2 3%
Other 14 19%
Unknown 22 31%