2 citations · 4 across the 7 of their papers we have counts for
7 papers
From Neural Sensing to Stimulation: An Interdisciplinary Roadmap for Neurotechnology
Ruben Ruiz-Mateos Serrano, Joe G Troughton, Nima Mirkhani +12
Neurotechnologies are transforming how we measure, interpret, and modulate brain-body interactions, integrating real-time sensing, computation, and stimulation to enable precise ph…
VCO-CARE: VCO-based Calibration-free Analog Readout for Electrodermal activity sensing
Leidy Mabel Alvero-Gonzalez, Matias Miguez, Eric Gutierrez +4
Continuous monitoring of electrodermal activity (EDA) through wearable devices has attracted much attention in recent times. However, the persistent challenge demands analog front-…
HEEPidermis: a versatile SoC for BioZ recording
Juan Sapriza, Beatrice Grassano, Alessio Naclerio +11
Biological impedance (BioZ) is an information-packed modality that allows for non-invasive monitoring of health and emotional state. Currently, most research involving tissue imped…
Just TestIt! An SBST Approach To Automate System-Integration Testing
Tommaso Terzano, Luigi Giuffrida, Juan Sapriza +5
This paper introduces TestIt, an open-source Python package designed to automate full-system integration testing using a Software-Based Self-Test (SBST) approach. By dynamically ge…
A flexible framework for early power and timing comparison of time-multiplexed CGRA kernel executions
Maxime Henri Aspros, Juan Sapriza, Giovanni Ansaloni +1
At the intersection between traditional CPU architectures and more specialized options such as FPGAs or ASICs lies the family of reconfigurable hardware architectures, termed Coars…
Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA
Nicolò Carpentieri, Juan Sapriza, Davide Schiavone +4
Recently, efficiently deploying deep learning solutions on the edge has received increasing attention. New platforms are emerging to support the increasing demand for flexibility a…
SAT-based Exact Modulo Scheduling Mapping for Resource-Constrained CGRAs
Cristian Tirelli, Juan Sapriza, Rubén Rodríguez Álvarez +6
Coarse-Grain Reconfigurable Arrays (CGRAs) represent emerging low-power architectures designed to accelerate Compute-Intensive Loops (CILs). The effectiveness of CGRAs in providing…