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