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