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