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