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