Open Access. Powered by Scholars. Published by Universities.®
![Digital Commons Network](http://assets.bepress.com/20200205/img/dcn/DCsunburst.png)
Biomedical Engineering and Bioengineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Biomedical Engineering and Bioengineering
Barn-Raising On The Digital Frontier: The L.A.U.N.C.H. Collaborative, Bradford W. Hesse, David Ahern, Michele Ellison, Eliah Aronoff-Spencer, Robin C. Vanderpool, Karen Onyeije, Michael C. Gibbons, Timothy W. Mullett, Ming-Yuan Chih, Victoria Attencio, Grant Patterson, Jessica Boten, Christopher Hartshorn, Ben Bartolome, Katie Gorscak, Melanie Mccomsey, Alexandra Hubenko, Bin Huang, Corey Baker, Don Norman
Barn-Raising On The Digital Frontier: The L.A.U.N.C.H. Collaborative, Bradford W. Hesse, David Ahern, Michele Ellison, Eliah Aronoff-Spencer, Robin C. Vanderpool, Karen Onyeije, Michael C. Gibbons, Timothy W. Mullett, Ming-Yuan Chih, Victoria Attencio, Grant Patterson, Jessica Boten, Christopher Hartshorn, Ben Bartolome, Katie Gorscak, Melanie Mccomsey, Alexandra Hubenko, Bin Huang, Corey Baker, Don Norman
Journal of Appalachian Health
A meta-analysis of oncology papers from around the world revealed that cancer patients who lived more than 50 miles away from hospital centers routinely presented with more advanced stages of disease at diagnosis, exhibited lower adherence to prescribed treatments, presented with poorer diagnoses, and reported a lower quality of life than patients who lived nearer to care facilities. Connected health approaches—or the use of broadband and telecommunications technologies to evaluate, diagnose, and monitor patients beyond the clinic—are becoming an indispensable tool in medicine to overcome the obstacle of distance.
Applications Of Wavelet Transforms In Biomedical Optoacoustics, Zibiao Wei, Shujun Yang, Amin N. Dharamsi, Barbara Hargrave
Applications Of Wavelet Transforms In Biomedical Optoacoustics, Zibiao Wei, Shujun Yang, Amin N. Dharamsi, Barbara Hargrave
Biological Sciences Faculty Publications
We discuss the utility of wavelet transform methods in signal processing in general, and in particular, demonstrate the technique in optoacoustic applications. In several optoacoustic experiments with different samples, we have successfully enhanced the signal to noise ratios. Wavelet transforms optimize resolution by utilizing a tailored, variable time-window in different frequency regions. The technique's great advantage lies in the fact that the wavelet transform adds some redundancy to the original signal, and some desired features can be enhanced in the transformed space. In addition, proper choice of the basis set allows a sparse representation of the signal. Therefore, even when …