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