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