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