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