Stroke patients should be dispatched at the highest level of care available in the shortest time. In this context, a transportable system in specialized ambulances, able to evaluate the presence of an acute brain lesion in a short time interval (i.e., few minutes), could shorten delay of treatment. UWB radar imaging is an emerging diagnostic branch that has great potential for the implementation of a transportable and low-cost device. Transportability, low cost and short response time pose challenges to the signal processing algorithms of the backscattered signals as they should guarantee good performance with a reasonably low number of antennas and low computational complexity, tightly related to the response time of the device. The paper shows that a PCA-based preprocessing algorithm can: (1) achieve good performance already with a computationally simple beamforming algorithm; (2) outperform state-of-the-art preprocessing algorithms; (3) enable a further improvement in the performance (and/or decrease in the number of antennas) by using a multistatic approach with just a modest increase in computational complexity. This is an important result toward the implementation of such a diagnostic device that could play an important role in emergency scenario.
Ricci, E., DI DOMENICO, S., Cianca, E., Rossi, T., & Diomedi, M. (2017). PCA-based artifact removal algorithm for stroke detection using UWB radar imaging. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1-13.
|Tipologia:||Articolo su rivista|
|Citazione:||Ricci, E., DI DOMENICO, S., Cianca, E., Rossi, T., & Diomedi, M. (2017). PCA-based artifact removal algorithm for stroke detection using UWB radar imaging. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1-13.|
|IF:||Con Impact Factor ISI|
|Settore Scientifico Disciplinare:||Settore ING-INF/01 - Elettronica|
Settore MED/26 - Neurologia
|Revisione (peer review):||Esperti anonimi|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/s11517-016-1568-8|
|Stato di pubblicazione:||Pubblicato|
|Data di pubblicazione:||2017|
|Titolo:||PCA-based artifact removal algorithm for stroke detection using UWB radar imaging|
|Autori:||Ricci, E; DI DOMENICO, S; Cianca, E; Rossi, T; Diomedi, M|
|Appare nelle tipologie:||01 - Articolo su rivista|