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