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