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