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Fabio Montagna
Fabio Montagna
Email verificata su unibo.it
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PULP-HD: Accelerating brain-inspired high-dimensional computing on a parallel ultra-low power platform
F Montagna, A Rahimi, S Benatti, D Rossi, L Benini
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018
482018
Online learning and classification of EMG-based gestures on a parallel ultra-low power platform using hyperdimensional computing
S Benatti, F Montagna, V Kartsch, A Rahimi, D Rossi, L Benini
IEEE transactions on biomedical circuits and systems 13 (3), 516-528, 2019
392019
A sub-10mW real-time implementation for EMG hand gesture recognition based on a multi-core biomedical SoC
S Benatti, G Rovere, J Bösser, F Montagna, E Farella, H Glaser, ...
2017 7th IEEE International Workshop on Advances in Sensors and Interfaces …, 2017
342017
Scalable EEG seizure detection on an ultra low power multi-core architecture
S Benatti, F Montagna, D Rossi, L Benini
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 86-89, 2016
222016
Flexible, scalable and energy efficient bio-signals processing on the pulp platform: A case study on seizure detection
F Montagna, S Benatti, D Rossi
Journal of Low Power Electronics and Applications 7 (2), 16, 2017
162017
An Energy-Efficient IoT node for HMI applications based on an ultra-low power Multicore Processor
V Kartsch, M Guermandi, S Benatti, F Montagna, L Benini
2019 IEEE Sensors Applications Symposium (SAS), 1-6, 2019
122019
A machine learning approach for automated wide-range frequency tagging analysis in embedded neuromonitoring systems
F Montagna, M Buiatti, S Benatti, D Rossi, E Farella, L Benini
Methods 129, 96-107, 2017
112017
Ultra low-power drowsiness detection system with BioWolf
V Kartsch, S Benatti, M Guermandi, F Montagna, L Benini
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER …, 2019
72019
Modular design and optimization of biomedical applications for ultralow power heterogeneous platforms
E De Giovanni, F Montagna, BW Denkinger, S Machetti, M Peón-Quirós, ...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
62020
A transprecision floating-point cluster for efficient near-sensor data analytics
F Montagna, S Mach, S Benatti, A Garofalo, G Ottavi, L Benini, D Rossi, ...
arXiv preprint arXiv:2008.12243, 2020
62020
Compressed sensing based seizure detection for an ultra low power multi-core architecture
R Aghazadeh, F Montagna, S Benatti, D Rossi, J Frounchi
2018 International Conference on High Performance Computing & Simulation …, 2018
42018
Scalable and energy efficient seizure detection based on direct use of compressively-sensed EEG data on an ultra low power multi-core architecture
R Aghazadeh, J Frounchi, F Montagna, S Benatti
Computers in Biology and Medicine 125, 104004, 2020
22020
A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics
F Montagna, S Mach, S Benatti, A Garofalo, G Ottavi, L Benini, D Rossi, ...
IEEE Transactions on Parallel and Distributed Systems 33 (5), 1038-1053, 2021
12021
Optimized Biosignals Processing Algorithms for New Designs of Human Machine Interfaces on Parallel Ultra-Low Power Architectures
F Montagna
alma, 2020
12020
An event-based system for low-power ECG QRS complex detection
S Zanoli, T Teijeiro, F Montagna, D Atienza
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 258-263, 2020
12020
Biomedical Signal Analysis 1
S Benatti, V Kartsch, F Montagna, E Farella, VP Kumaravel
Health Monitoring Systems, 147-176, 2019
12019
Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs
F Montagna, G Tagliavini, D Rossi, A Garofalo, L Benini
International Conference on Architecture of Computing Systems, 167-182, 2021
2021
Towards Versatile Fast Training for Wearable Interfaces in Prosthetics
S Benatti, F Montagna, V Kartsch, A Rahimi, L Benini
International Conference on NeuroRehabilitation, 157-161, 2018
2018
An Event-Based System for Low-Power ECG QRS Detection
S Zanoli, T Teijeiro, F Montagna, D Atienza
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–19