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