Heterogeneous Error-Resilient Scheme for Spectral Analysis in Ultra-Low Power Wearable Electrocardiogram Devices. - Soumya Basu 002; Pablo García Del Valle; Georgios Karakonstantis; Giovanni Ansaloni; David Atienza (ISVLSI, 2015)

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)

Inexact-aware architecture design for ultra-low power bio-signal analysis. - Soumya Basu 002; Pablo García Del Valle; Georgios Karakonstantis; Giovanni Ansaloni; Laura Pozzi 001; David Atienza (IET Comput. Digit. Tech., 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)

Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices. - Benoît W. Denkinger; Flavio Ponzina; Soumya Basu 002; Andrea Bonetti; Szabolcs Balási; Martino Ruggiero; Miguel Peón-Quirós; Davide Rossi; Andreas Burg 001; David Atienza (IEEE Des. Test, 2020)