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