Prof. Janet M. Roveda Profile

Prof. Janet M. Roveda

at Univ. of Arizona

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 18 May 2017 Paper

Low power real-time data acquisition using compressive sensing

Linda Powers, Yiming Zhang, Kemeng Chen, Huiqing Pan, Wo-Tak Wu, Peter Hall, Jerrie Fairbanks, Radik Nasibulin, Janet Roveda

Proceedings Volume 10194, 101940C (2017) https://doi.org/10.1117/12.2263220

KEYWORDS: Compressed sensing, Data acquisition, Data modeling, Analog electronics, Algorithm development, Wavelets, Electrocardiography, Data compression, Sensors, Reconstruction algorithms

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Proceedings Article | 17 May 2016 Paper

System perspectives for mobile platform design in m-Health

Janet Roveda, Wolfgang Fink

Proceedings Volume 9836, 983610 (2016) https://doi.org/10.1117/12.2219645

KEYWORDS: Sensors, Clouds, Electrocardiography, Heart, Data processing, Computer security, Medicine, Mobile communications, Data communications, Electrodes

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Proceedings Article | 12 September 2014 Paper

Innovative visualization and segmentation approaches for telemedicine

D. Nguyen, Hans Roehrig, Marisa Borders, Kimberly Fitzpatrick, Janet Roveda

Proceedings Volume 9214, 92140F (2014) https://doi.org/10.1117/12.2066183

KEYWORDS: Image segmentation, Visualization, Image processing, Optical filters, Gaussian filters, Telemedicine, Data communications, Image quality, Fuzzy logic, Edge detection

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Proceedings Article | 26 September 2013 Paper

Efficient image acquisition design for a cancer detection system

Dung Nguyen, Hans Roehrig, Marisa Borders, Kimberly Fitzpatrick, Janet Roveda

Proceedings Volume 8853, 88530K (2013) https://doi.org/10.1117/12.2029781

KEYWORDS: High dynamic range imaging, Image acquisition, Compressed sensing, Image compression, Image restoration, Medical imaging, Digital imaging, Mammography, Digital signal processing, Infrared imaging

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Proceedings Article | 17 October 2012 Paper

A non-invasive blood glucose meter design using multi-type sensors

D. Nguyen, Hienvu Nguyen, Janet Roveda

Proceedings Volume 8508, 85080E (2012) https://doi.org/10.1117/12.929108

KEYWORDS: Blood, Glucose, Sensors, Skin, Semiconductor lasers, Tissues, Tissue optics, Monte Carlo methods, Near infrared, Optical amplifiers

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Conference Committee Involvement (1)

Micro- and Nanotechnology Sensors, Systems, and Applications IX

9 April 2017 | Anaheim, CA, United States

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