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