Olivier Buttelli

Orcid: 0000-0001-7290-6344

According to our database1, Olivier Buttelli authored at least 37 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Comparison of the Accuracy of Ground Reaction Force Component Estimation between Supervised Machine Learning and Deep Learning Methods Using Pressure Insoles.
Sensors, August, 2024

Impact of PCA Pre-Normalization Methods on Ground Reaction Force Estimation Accuracy.
Sensors, February, 2024

Tensor decomposition meets blind source separation.
Signal Process., 2024

Surface EMG Signal Segmentation and Classification for Parkinson's Disease Based on HMM Modelling.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Tensorial Convolutive Blind Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Joint INDSCAL Decomposition Meets Blind Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Novel Tensor Tracking Algorithm for Block-Term Decomposition of Streaming Tensors.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Improving of the interpretation of linear filtering preprocessing-based multiscale permutation entropy.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

After-Fatigue Condition: A Novel Analysis Based on Surface EMG Signals.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
On the Genuine Relevance of the Data-Driven Signal Decomposition-Based Multiscale Permutation Entropy.
Entropy, 2022

2021
The Refined Composite Downsampling Permutation Entropy Is a Relevant Tool in the Muscle Fatigue Study Using sEMG Signals.
Entropy, 2021

The Impact of Linear Filter Preprocessing in the Interpretation of Permutation Entropy.
Entropy, 2021

Improvement of Statistical Performance of Ordinal Multiscale Entropy Techniques Using Refined Composite Downsampling Permutation Entropy.
Entropy, 2021

Surface EMG Signal Classification for Parkinson's Disease using WCC Descriptor and ANN Classifier.
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020
A new detection method for EMG activity monitoring.
Medical Biol. Eng. Comput., 2020

On the Deterministic Estimaton of Multiscale Permutation Entropy of High-Order Autoregressive-Moving-Average Processes as a Function of ARMA Parameters.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
On the Statistical Properties of Multiscale Permutation Entropy: Characterization of the Estimator's Variance.
Entropy, 2019

Multiscale Permutation Entropy: Statistical Characterization on Autoregressive and Moving Average Processes.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Use of cardiorespiratory coherence to separate spectral bands of the heart rate variability.
Biomed. Signal Process. Control., 2018

On The Statistical Properties Of The Generalized Discrete Teager-Kaiser Energy Operator Applied To Uniformly Distributed Random Signals.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Theoretical Study of Multiscale Permutation Entropy on Finite-Length Fractional Gaussian Noise.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
An Effective Time Varying Delay Estimator Applied to Surface Electromyographic Signals.
Proceedings of the Context-Aware Systems and Applications, 2017

2016
Muscular activation intervals detection using gaussian mixture model GMM applied to sEMG signals.
Proceedings of the 18th IEEE International Conference on e-Health Networking, 2016

Characterizing Parkinson's desease using EMG fractional linear prediction.
Proceedings of the 24th European Signal Processing Conference, 2016

Detection of sEMG muscle activation intervals using Gaussian Mixture Model and Ant Colony Classifier.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Legendre polynomial modeling of time-varying delay applied to surface EMG signals - Derivation of the appropriate time-dependent CRBs.
Signal Process., 2015

Time-varying delay estimators for measuring muscle fiber conduction velocity from the surface electromyogram.
Biomed. Signal Process. Control., 2015

2014
A new cyclostationarity-based blind approach for motor unit's firing rate automated detection in electromyographic signals.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
A generating model of realistic synthetic heart sounds for performance assessment of phonocardiogram processing algorithms.
Biomed. Signal Process. Control., 2013

HRV spectral estimation based on constrained Gaussian modeling in the nonstationary case.
Biomed. Signal Process. Control., 2013

Cyclostationary analysis of electromyographic signals.
Proceedings of the 21st European Signal Processing Conference, 2013

Theoretical insights into the Phase Rectified Averaging method and application to HRV analysis.
Proceedings of the 21st European Signal Processing Conference, 2013

2011
Do the generalized correlation methods improve time delay estimation of the muscle fiber conduction velocity?
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010
Phase-rectified signal averaging method applied to heart rate variability signals for assessment of the changes in sympathovagal balance during rest and tilt.
Proceedings of the 18th European Signal Processing Conference, 2010

2008
Time-varying delay estimation with application to electromyography.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Comparison of three time-varying delay estimators with application to electromyography.
Proceedings of the 15th European Signal Processing Conference, 2007

2004
Robust detection of QRS complex using klauder wavelets.
Proceedings of the 2004 12th European Signal Processing Conference, 2004


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