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Groupe Signal Image et Instrumentation
L’équipe s’intéresse aux domaines du traitement du signal et de l’image et de l’intelligence artificielle pour la mesure, l’instrumentation et le développement de capteurs, pour des applications en géophysique, en CND, SHM et biomédical.
L'équipe est rattachée au LAUM, Laboratoire d’Acoustique – Le Mans Université – CNRS – UMR6613.
Thématique de recherche : Contrôle Non-Destructif et «Structural Health Monitoring» ; Instrumentation biomédicale ; Capteurs optiques pour la mesure mécanique
Mots clés
Calf pain
Symmentropy
Acoustoelasticity
Coda Wave Interferometry
Artificial neural network
Ankle brachial pressure index
Machine Learning
Pathophysiology
Dairy cows
Accelerometer
Artery
Spectrogram
Concrete
Ultrasound
Transcranial Doppler ultrasound
Exercise oximetry
Symmetry
Accelerométrie
Nonlinear
Symptoms
Apprentissage automatique
Acoustic particle velocity
Gradient descent algorithm
Behaviour classification
Agriculture
Automatic sleep staging for polysomnography
Atrial fibrillation
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Algorithmes génétiques
Symmetropy
Cascade de classifieurs
Descriptor
Complexity
Artefact rejection
Microembolus detection
Signal processing
Peripheral artery disease
Obstructive sleep apnea
Accelerometry
Optimization
Contrôle non-destructif
Transcutaneous oximetry
Acoustic emission testing
Sleep apnea
Beamforming
Adaptive boosting
Palindromic vectors
CR radiodetection
Cardiovascular disease
Acoustic Emission
Cluster analysis
Intermittent claudication
Arterial inflow
Thoracic outlet syndrome
Palindrome
Nondestructive testing
Chan-Vese
Cardiovascular risk
Biomedical engineering
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Diagnosis
Binary sequence
Cluster Validity Index
Machine learning
Artificial Neural Networks
Vache laitière
Bias control
Principal component analysis
Pulse rate variability
Cow location
And stroke Obstructive sleep apnoea
Optimal command
Analyse du signal
Codalema
Automatic scoring algorithm
Agro-ecology
Ischemia
Comportement animal
Behaviour and movement
Structural health monitoring
Nonlinearity
Classification
Bruit de respiration
Animal–environment interaction
Commande optimale
Composites materials
Transcutaneous oxygen pressure
Microembolus
Claudication
Algorithme d'apprentissage
Entropy
Bidirectional arte- facts
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Methods
Damage detection
Artificial Neural Networks ANNs
Exercise testing
Clustering
Nonlinear Wave Modulation Spectroscopy
Genetic algorithm
Les collaborations
Dernières publications
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Elsa Breton, Nicolas Savoye, Peggy Rimmelin-Maury, Benoit Sautour, Eric Goberville, et al.. Data quality control considerations in multivariate environmental monitoring: experience of the French coastal network SOMLIT. Frontiers in Marine Science, 2023, 10, pp.12. ⟨10.3389/fmars.2023.1135446⟩. ⟨hal-04083118⟩
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