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