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