An advanced bio-inspired photoplethysmography (PPG) and ECG pattern recognition system for medical assessment

F Rundo, S Conoci, A Ortis, S Battiato - Sensors, 2018 - mdpi.com
Physiological signals are widely used to perform medical assessment for monitoring an
extensive range of pathologies, usually related to cardio-vascular diseases. Among these …

Image interpolation via regularized local linear regression

X Liu, D Zhao, R Xiong, S Ma, W Gao… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
The linear regression model is a very attractive tool to design effective image interpolation
schemes. Some regression-based image interpolation algorithms have been proposed in …

Modified edge-directed interpolation for images

WS Tam, CW Kok, WC Siu - Journal of Electronic imaging, 2010 - spiedigitallibrary.org
We present a modification of the new edge-directed interpolation method that eliminates the
prediction error accumulation problem by adopting a modified training window structure, and …

Evaluation of Levenberg–Marquardt neural networks and stacked autoencoders clustering for skin lesion analysis, screening and follow‐up

F Rundo, S Conoci, GL Banna, A Ortis… - IET Computer …, 2018 - Wiley Online Library
Traditional methods for early detection of melanoma rely on the visual analysis of the skin
lesions performed by a dermatologist. The analysis is based on the so‐called ABCDE …

Advanced skin lesion discrimination pipeline for early melanoma cancer diagnosis towards PoC devices

S Conoci, F Rundo, S Petralta… - … Conference on Circuit …, 2017 - ieeexplore.ieee.org
The proposed work describes an effective pipeline for skin lesion (nevus) analysis with
related oncological outcomes. The increasing statistics of skin cancer have recently …

Processing of electrophysiological signals

F Rundo, S Conoci, P Fallica, R Parenti… - US Patent …, 2022 - Google Patents
Blood pressure signals are reconstructed from PhotoPlethys moGraphy (PPG) signals by:
receiving PPG signals includ ing systolic, diastolic and dicrotic phases; and determining first …

Advanced Intelligent deep learning-based system for Robust Driving Assistance

F Rundo, C Pino, G Castagnolo… - … on Electrical and …, 2023 - ieeexplore.ieee.org
The monitoring of the driver's state of concentration and the risk assessment of driving
scenarios have received the majority of research interest in the area of automotive …

Saliency-directed color image interpolation using artificial neural network and particle swarm optimization

HY Chen, JJ Leou - Journal of Visual Communication and Image …, 2012 - Elsevier
In this study, a saliency-directed color image interpolation approach using artificial neural
network (ANN) and particle swarm optimization (PSO) is proposed. First, a high-quality …

Intelligent Optical Microscopy Defects Assessment of Silicon-Carbide Power Modules embedded in Next Generation Electric Cars

F Rundo, C Pino, G Castagnolo… - … on Electrical and …, 2023 - ieeexplore.ieee.org
In automotive and industrial application domains, the" health monitoring" or predictive
reliability of electronic devices plays a key-role in ensuring reliability of the electrical …

Intelligent Deep Motion Magnification Analysis in Advanced Driving Assistance Systems

F Rundo, C Pino, G Castagnolo… - … on Electrical and …, 2023 - ieeexplore.ieee.org
Automotive domain is making rapid growth in next generation cars development embedding
higher levels of autonomy and intelligent assistance. Although the general advanced driver …