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