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