L. Falaschetti

发表

Dataset from spirometer and sEMG wireless sensor for diaphragmatic respiratory activity monitoring

L. Scalise, G. Biagetti, P. Crippa, 2019, Data in brief.

Discrete bessel functions for representing the class of finite duration decaying sequences

Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2018, BioMedical Engineering OnLine.

ECG-Based Arrhythmia Classification using Recurrent Neural Networks in Embedded Systems

G. Biagetti, P. Crippa, C. Turchetti, 2022, KES.

HMM speech synthesis based on MDCT representation

G. Biagetti, P. Crippa, C. Turchetti, 2018, International Journal of Speech Technology.

A manifold learning approach to dimensionality reduction for modeling data

Claudio Turchetti, Laura Falaschetti, C. Turchetti, 2019, Inf. Sci..

Multi-Class ECG Beat Classification Based on a Gaussian Mixture Model of Karhunen-Loève Transform

Paolo Crippa, Alessandro Curzi, Claudio Turchetti, 2020 .

An acquisition system of in-house parameters from wireless sensors for the identification of an environmental model

Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, 2018, KES.

EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network

S. Luzzi, G. Biagetti, P. Crippa, 2022, Sensors.

A Comparative Study of Computational Methods for Compressed Sensing Reconstruction of EMG Signal

Claudio Turchetti, Laura Falaschetti, Lorenzo Manoni, 2019, Sensors.

A comparative study of machine learning algorithms for physiological signal classification

Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, 2018, KES.

Activity Monitoring and Phase Detection Using a Portable EMG/ECG System

Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, 2018, ApplePies.

Singular Value Decomposition in Embedded Systems Based on ARM Cortex-M Architecture

G. Biagetti, P. Crippa, C. Turchetti, 2020, Electronics.

CARMA: A robust motion artifact reduction algorithm for heart rate monitoring from PPG signals

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir

M. Lattuada, C. Turchetti, L. Falaschetti, 2021, Electronics.

Robust Speaker Identification in a Meeting with Short Audio Segments

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2016 .

An Effective Manifold Learning Approach to Parametrize Data for Generative Modeling of Biosignals

Claudio Turchetti, Laura Falaschetti, Lorenzo Manoni, 2020, IEEE Access.

Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes

S. Orcioni, G. Biagetti, P. Crippa, 2018, Biomedical engineering online.

A Compact and Robust Technique for the Modeling and Parameter Extraction of Carbon Nanotube Field Effect Transistors

D. Mencarelli, L. Pierantoni, G. Deligeorgis, 2020, Electronics.

A Machine Learning Approach to the Identification of Dynamical Nonlinear Systems

Giorgio Biagetti, Claudio Turchetti, Laura Falaschetti, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Human Activity Recognition Using Accelerometer and Photoplethysmographic Signals

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2017, KES-IDT.

Recurrent Neural Network for Human Activity Recognition in Embedded Systems Using PPG and Accelerometer Data

Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, 2021, Electronics.

Dataset from PPG wireless sensor for activity monitoring

Giorgio Biagetti, Claudio Turchetti, Laura Falaschetti, 2019, Data in brief.

Machine Learning and Data Fusion Techniques Applied to Physical Activity Classification Using Photoplethysmographic and Accelerometric Signals

Giorgio Biagetti, Claudio Turchetti, Ralf Seepold, 2020, KES.

A Portable Wireless sEMG and Inertial Acquisition System for Human Activity Monitoring

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2017, IWBBIO.

An Investigation on the Accuracy of Truncated DKLT Representation for Speaker Identification With Short Sequences of Speech Frames

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2017, IEEE Transactions on Cybernetics.

Speaker Identification in Noisy Conditions Using Short Sequences of Speech Frames

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2017, KES-IDT.

EEG-Based Neurodegenerative Disease Classification using LSTM Neural Networks

S. Luzzi, G. Biagetti, P. Crippa, 2023, 2023 IEEE Statistical Signal Processing Workshop (SSP).

Energy and Performance Analysis of Lossless Compression Algorithms for Wireless EMG Sensors

Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, 2021, Sensors.

Optimizing linear routing in the ToLHnet protocol to improve performance over long RS-485 buses

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2017, EURASIP J. Embed. Syst..

Wireless surface electromyograph and electrocardiograph system on 802.15.4

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2016, IEEE Transactions on Consumer Electronics.

Classification of Alzheimer's Disease from EEG Signal Using Robust-PCA Feature Extraction

Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, 2021, KES.

A Low-Cost, Low-Power and Real-Time Image Detector for Grape Leaf Esca Disease Based on a Compressed CNN

Claudio Turchetti, Oriana Silvestroni, Laura Falaschetti, 2021, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

A CNN-based image detector for plant leaf diseases classification

V. Tomaselli, C. Turchetti, L. Falaschetti, 2022, HardwareX.

A grapevine leaves dataset for early detection and classification of esca disease in vineyards through machine learning

V. Tomaselli, C. Turchetti, L. Falaschetti, 2021, Data in brief.

Multivariate Direction Scoring for Dimensionality Reduction in Classification Problems

Giorgio Biagetti, Paolo Crippa, Simone Orcioni, 2016, KES-IDT.

Principal Tensor Embedding for Unsupervised Tensor Learning

Claudio Turchetti, Laura Falaschetti, Lorenzo Manoni, 2020, IEEE Access.

Distributed Speech Recognition for Lighting System Control

Giorgio Biagetti, Paolo Crippa, Alessandro Curzi, 2015, KES-IDT.

HMM speech synthesis based on MDCT representation

Giorgio Biagetti, Paolo Crippa, Claudio Turchetti, 2018, International Journal of Speech Technology.