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