In this paper, we present a new prototype ultrawideband (UWB) radio frequency (RF) sensor and associated signal recovery algorithms for sensing of heart and lung motion without requiring contact with the skin. We pose the problem of recovering reflectivity profile of the body from UWB RF backscatter measurements as a blind deconvolution problem, and present an iterative algorithm for its solution. We also present subspace based detectors for detecting heart beats in this new imaging modality.
|Original language||English (US)|
|Title of host publication||Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers|
|Publisher||IEEE Computer Society|
|Number of pages||5|
|State||Published - 2013|
|Event||2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States|
Duration: Nov 3 2013 → Nov 6 2013
|Name||Conference Record - Asilomar Conference on Signals, Systems and Computers|
|Other||2013 47th Asilomar Conference on Signals, Systems and Computers|
|City||Pacific Grove, CA|
|Period||11/3/13 → 11/6/13|
Copyright 2014 Elsevier B.V., All rights reserved.
- Compressive Sensing
- RF Biosensing
- Sparse Deconvolution