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