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