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