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