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