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