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