A multi-core reconfigurable architecture for ultra-low power bio-signal analysis. - Loris Duch; Soumya Basu 002; Rubén Braojos; David Atienza; Giovanni Ansaloni; Laura Pozzi 001 (BioCAS, 2016)

Energy vs. reliability trade-offs exploration in biomedical ultra-low power devices. - Loris Duch; Pablo García Del Valle; Shrikanth Ganapathy; Andreas Burg 001; David Atienza (DATE, 2016)

HEAL-WEAR: An Ultra-Low Power Heterogeneous System for Bio-Signal Analysis. - Loris Duch; Soumya Basu 002; Rubén Braojos; Giovanni Ansaloni; Laura Pozzi 001; David Atienza (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

An Inexact Ultra-low Power Bio-signal Processing Architecture With Lightweight Error Recovery. - Soumya Basu 002; Loris Duch; Rubén Braojos; Giovanni Ansaloni; Laura Pozzi 001; David Atienza (ACM Trans. Embed. Comput. Syst., 2017)

Heterogeneous and Inexact: Maximizing Power Efficiency of Edge Computing Sensors for Health Monitoring Applications. - Soumya Basu 002; Loris Duch; Miguel Peón-Quirós; David Atienza; Giovanni Ansaloni; Laura Pozzi 001 (ISCAS, 2018)

i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-Signal Processing. - Loris Duch; Soumya Basu 002; Miguel Peón-Quirós; Giovanni Ansaloni; Laura Pozzi 001; David Atienza (IEEE Embed. Syst. Lett., 2019)

Analysis of Functional Errors Produced by Long-Term Workload-Dependent BTI Degradation in Ultralow Power Processors. - Loris Duch; Miguel Peón-Quirós; Pieter Weckx; Alexandre Levisse; Rubén Braojos; Francky Catthoor; David Atienza (IEEE Trans. Very Large Scale Integr. Syst., 2020)