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