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