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