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