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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
Microembolus detection
Symptoms
Cluster Validity Index
Symmetropy
Bidirectional arte- facts
Nonlinearity
Analyse du signal
Transcutaneous oxygen pressure
Cow location
Optimization
Automatic scoring algorithm
Microembolus
Nonlinear
Contrôle non-destructif
Genetic algorithm
Machine learning
Artery
Composites materials
Methods
Beamforming
Bruit de respiration
Atrial fibrillation
Calf pain
Adaptive boosting
Nonlinear Wave Modulation Spectroscopy
Symmentropy
Damage detection
Chan-Vese
Descriptor
Transcranial Doppler ultrasound
Signal processing
Bias control
Principal component analysis
Artificial Neural Networks
Intermittent claudication
Coda Wave Interferometry
Commande optimale
Optimal command
Acoustic particle velocity
Complexity
9640-z
Clustering
Artefact rejection
Cardiovascular disease
Pathophysiology
Ischemia
Cardiovascular risk
Algorithmes génétiques
Exercise testing
Agro-ecology
Claudication
Artificial neural network
Sleep apnea
Codalema
Vache laitière
Obstructive sleep apnea
Thoracic outlet syndrome
Agriculture
Gradient descent algorithm
Exercise oximetry
Accelerometer
Acoustic Emission
Biomedical engineering
Comportement animal
Cascade de classifieurs
CR radiodetection
Behaviour and movement
Apprentissage automatique
Binary sequence
Accelerométrie
9555Jz
Artificial Neural Networks ANNs
Palindrome
Dairy cows
Acoustic emission testing
Structural health monitoring
Nondestructive testing
Automatic sleep staging for polysomnography
Acoustoelasticity
Accelerometry
Diagnosis
Cluster analysis
Symmetry
Arterial inflow
9585Ry
Ultrasound
Pulse rate variability
Animal–environment interaction
Palindromic vectors
Transcutaneous oximetry
Classification
Algorithme d'apprentissage
Concrete
Machine Learning
Entropy
Peripheral artery disease
And stroke Obstructive sleep apnoea
Ankle brachial pressure index
Behaviour classification
Spectrogram
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⟩