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