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