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