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