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