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