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