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