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