Publications

Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables

Alessio Burrello, Francesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini, Daniele Jahier Pagliari

Published in 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2024

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms

Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Adriano Bernini, Luca Benini, Sándor Beniczky, David Atienza, Philippe Ryvlin

Published in Epilepsia, 2024

An Ultra-Low Power Wearable BMI System with Continual Learning Capabilities

Lan Mei, Thorir Mar Ingolfsson, Cristian Cioflan, Victor Kartsch, Andrea Cossettini, Xiaying Wang, Luca Benini

Published in IEEE Transactions on Biomedical Circuits and Systems, 2024

BrainFuseNet: Enhancing Wearable Seizure Detection Through EEG-PPG-Accelerometer Sensor Fusion and Efficient Edge Deployment

Thorir Mar Ingolfsson, Xiaying Wang, Upasana Chakraborty, Simone Benatti, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Sandor Beniczky, Luca Benini, Andrea Cossettini

Published in IEEE Transactions on Biomedical Circuits and Systems, 2024

Minimizing artifact-induced false-alarms for seizure detection in wearable EEG devices with gradient-boosted tree classifiers

Thorir Mar Ingolfsson, Simone Benatti, Xiaying Wang, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Sandor Beniczky, Luca Benini, Andrea Cossettini

Published in Nature Scientific Reports, 2024

MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain–Machine Interfaces With EEG Channel Selection

Xiaying Wang, Michael Hersche, Michele Magno, Luca Benini

Published in IEEE Sensors Journal, 2024

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

Thorir Mar Ingolfsson, Upasana Chakraborty, Xiaying Wang, Sandor Beniczky, Pauline Ducouret, Simone Benatti, Philippe Ryvlin, Andrea Cossettini, Luca Benini

Published in 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023

Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology

Xiaying Wang, Lan Mei, Victor Kartsch, Andrea Cossettini, Luca Benini

Published in 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023

Nonlinear and machine learning analyses on high-density EEG data of math experts and novices

Hanna Poikonen, Tomasz Zaluska, Xiaying Wang, Michele Magno, Manu Kapur

Published in Nature Scientific Reports, 2023

Physically-Constrained Adversarial Attacks on Brain-Machine Interfaces

Xiaying Wang, Rodolfo Octavio Siller Quintanilla, Michael Hersche, Luca Benini, Gagandeep Singh

Published in Workshop on Trustworthy and Socially Responsible Machine Learning at NeurIPS 2022, 2022

Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices

Sizhen Bian, Xiaying Wang, Tommaso Polonelli, Michele Magno

Published in IEEE 13th International Green and Sustainable Computing Conference (IGSC), 2022

An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface

Jiawei Liao, Lars Widmer, Xiaying Wang, Alfio Di Mauro, Samuel R Nason-Tomaszewski, Cynthia A Chestek, Luca Benini, Taekwang Jang

Published in IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022

Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering

Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani

Published in Proceedings of the 19th ACM International Conference on Computing Frontiers, 2022

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini

Published in IEEE Transactions on Instrumentation and Measurement, 2022

Sub-100uW Multispectral Riemannian Classification for EEG-based Brain–Machine Interfaces

Xiaying Wang, Lukas Cavigelli, Tibor Schneider, Luca Benini

Published in IEEE Transactions on Biomedical Circuits and Systems, 2021

Towards Long-Term Non-Invasive Monitoring for Epilepsy via Wearable EEG Devices

Thorir Mar Ingolfsson, Andrea Cossettini, Xiaying Wang, Enrico Tabanelli, Giuseppe Tagliavini, Philippe Ryvlin, Luca Benini, Simone Benatti

Published in IEEE Biomedical Circuits and Systems Conference (BioCAS), 2021

SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu, Michele Magno, Luca Benini

Published in IEEE Sensors Applications Symposium (SAS), 2021

ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network

Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini

Published in IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021

Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain–Machine Interfaces

Xiaying Wang, Tibor Schneider, Michael Hersche, Lukas Cavigelli, Luca Benini

Published in IEEE International Symposium on Circuits and Systems (ISCAS), 2021

EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–-Machine Interfaces

Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini

Published in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020

Q-EEGNet: An Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain–Machine Interfaces

Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini

Published in IEEE International Conference on Smart Computing (SMARTCOMP), 2020

An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing

Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini

Published in IEEE international symposium on medical measurements and applications (MeMeA), 2020

InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting

Michele Magno, Xiaying Wang, Manuel Eggimann, Lukas Cavigelli, Luca Benini

Published in IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020

HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data

Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini

Published in IEEE Sensors Applications Symposium (SAS), 2020

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini

Published in IEEE Internet of Things Journal, 2020

Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array

Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini

Published in IEEE Biomedical Circuits and Systems Conference (BioCAS), 2018

Rat Cortical Layers Classification Extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor

Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini

Published in 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), 2018