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