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