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