Search Results for author: Simone Benatti

Found 15 papers, 2 papers with code

GAPses: Versatile smart glasses for comfortable and fully-dry acquisition and parallel ultra-low-power processing of EEG and EOG

no code implementations12 Jun 2024 Sebastian Frey, Mattia Alberto Lucchini, Victor Kartsch, Thorir Mar Ingolfsson, Andrea Helga Bernardi, Michael Segessenmann, Jakub Osieleniec, Simone Benatti, Luca Benini, Andrea Cossettini

Furthermore, we demonstrate an EEG-based biometric subject recognition task, where we reach a sensitivity and specificity of 98. 87% and 99. 86% respectively, with only 8 EEG channels and an energy consumption per inference on the edge as low as 121 uJ.

EEG Specificity

A Heterogeneous RISC-V based SoC for Secure Nano-UAV Navigation

no code implementations7 Jan 2024 Luca Valente, Alessandro Nadalini, Asif Veeran, Mattia Sinigaglia, Bruno Sa, Nils Wistoff, Yvan Tortorella, Simone Benatti, Rafail Psiakis, Ari Kulmala, Baker Mohammad, Sandro Pinto, Daniele Palossi, Luca Benini, Davide Rossi

To the best of the authors' knowledge, it is the first silicon prototype of a ULP SoC coupling the RV64 and RV32 cores in a heterogeneous host+accelerator architecture fully based on the RISC-V ISA.

A Wearable Ultra-Low-Power sEMG-Triggered Ultrasound System for Long-Term Muscle Activity Monitoring

no code implementations13 Sep 2023 Sebastian Frey, Victor Kartsch, Christoph Leitner, Andrea Cossettini, Sergei Vostrikov, Simone Benatti, Luca Benini

Assuming a muscle contraction of 200 ms at a contraction rate of 1 Hz, the proposed approach enables more than 59% energy saving (with a full-system average power consumption of 12. 2 mW) as compared to operating both sEMG and US continuously.

EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems

no code implementations28 Aug 2023 Thorir Mar Ingolfsson, Upasana Chakraborty, Xiaying Wang, Sandor Beniczky, Pauline Ducouret, Simone Benatti, Philippe Ryvlin, Andrea Cossettini, Luca Benini

The EpiDeNet-SSWCE method demonstrates effective and accurate seizure detection performance on heavily imbalanced datasets, while being suited for implementation on energy-constrained platforms.

EEG Seizure Detection +1

BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing

no code implementations4 Jul 2023 Sebastian Frey, Marco Guermandi, Simone Benatti, Victor Kartsch, Andrea Cossettini, Luca Benini

Wearable biosignal processing applications are driving significant progress toward miniaturized, energy-efficient Internet-of-Things solutions for both clinical and consumer applications.

SSVEP

Long-term stable Electromyography classification using Canonical Correlation Analysis

no code implementations23 Jan 2023 Elisa Donati, Simone Benatti, Enea Ceolini, Giacomo Indiveri

Here we propose a novel statistical method based on canonical correlation analysis (CCA) that stabilizes EMG classification performance across multiple days for long-term control of prosthetic devices.

Classification

Energy-Efficient Tree-Based EEG Artifact Detection

no code implementations19 Apr 2022 Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti, Luca Benini

In this work we present the implementation of an artifact detection algorithm based on a minimal number of EEG channels on a parallel ultra-low-power (PULP) embedded platform.

Artifact Detection EEG +1

Robust and Energy-efficient PPG-based Heart-Rate Monitoring

no code implementations28 Mar 2022 Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino

A wrist-worn PPG sensor coupled with a lightweight algorithm can run on a MCU to enable non-invasive and comfortable monitoring, but ensuring robust PPG-based heart-rate monitoring in the presence of motion artifacts is still an open challenge.

Neural Architecture Search

Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices

1 code implementation24 Mar 2022 Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino

Our most accurate quantized network achieves 4. 41 Beats Per Minute (BPM) of Mean Absolute Error (MAE), with an energy consumption of 47. 65 mJ and a memory footprint of 412 kB.

Neural Architecture Search Photoplethysmography (PPG)

A Fully-Integrated 5mW, 0.8Gbps Energy-Efficient Chip-to-Chip Data Link for Ultra-Low-Power IoT End-Nodes in 65-nm CMOS

no code implementations5 Sep 2021 Hayate Okuhara, Ahmed Elnaqib, Martino Dazzi, Pierpaolo Palestri, Simone Benatti, Luca Benini, Davide Rossi

The increasing complexity of Internet-of-Things (IoT) applications and near-sensor processing algorithms is pushing the computational power of low-power, battery-operated end-node systems.

Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices

no code implementations15 Jun 2021 Thorir Mar Ingolfsson, Andrea Cossettini, Xiaying Wang, Enrico Tabanelli, Giuseppe Tagliavini, Philippe Ryvlin, Luca Benini, Simone Benatti

We present the implementation of seizure detection algorithms based on a minimal number of EEG channels on a parallel ultra-low-power embedded platform.

EEG Seizure Detection

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