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