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