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