Copertina

On the analysis of saturated pressure to detect fatigue

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Faundez-Zanuy, Marcos, Lopez-Xarbau, Josep, Diaz, Moises, Garnacho-Castaño, Manuel
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Signal Processing Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Analysis of sensors for movement analysis
di: Faundez-Zanuy, Marcos, et al.
Pubblicazione: (2024)

Review of algorithms for predicting fatigue using EEG
di: Rakhmatulin, Ildar
Pubblicazione: (2024)

Infant movement classification through pressure distribution analysis
di: Kulvicius, Tomas, et al.
Pubblicazione: (2022)

On the challenges of detecting MCI using EEG in the wild
di: Mishra, Aayush, et al.
Pubblicazione: (2025)

Assessment of hybrid machine learning models for non-linear system identification of fatigue test rigs
di: Heindel, Leonhard, et al.
Pubblicazione: (2021)

Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
di: Moulaeifard, Mohammad, et al.
Pubblicazione: (2025)

Anomaly detection by partitioning of multi-variate time series
di: Lotte, Pierre, et al.
Pubblicazione: (2025)

Low-cost modular devices for on-road vehicle detection and characterisation
di: Poza-Lujan, Jose-Luis, et al.
Pubblicazione: (2024)

Symmetry constrained neural networks for detection and localization of damage in metal plates
di: Amarel, James, et al.
Pubblicazione: (2024)

Multi-task deep-learning for sleep event detection and stage classification
di: Anido-Alonso, Adriana, et al.
Pubblicazione: (2025)

A task of anomaly detection for a smart satellite Internet of things system
di: Shao, Zilong
Pubblicazione: (2024)

Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: systematic review
di: Moutonnet, Nina, et al.
Pubblicazione: (2024)

Spatial features of CO2 for occupancy detection in a naturally ventilated school building
di: Huang, Qirui, et al.
Pubblicazione: (2024)

Wasserstein distance based semi-supervised manifold learning and application to GNSS multi-path detection
di: Blais, Antoine, et al.
Pubblicazione: (2025)

Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter
di: Rouzoumka, Y. A., et al.
Pubblicazione: (2025)

Bayesian uncertainty-aware deep learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection
di: Shama, Deeksha M., et al.
Pubblicazione: (2024)

Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
di: Rani, Jyoti, et al.
Pubblicazione: (2024)

Solving ill-conditioned polynomial equations using score-based priors with application to multi-target detection
di: Beinhorn, Rafi, et al.
Pubblicazione: (2025)

Improvement of Performance in Freezing of Gait detection in Parkinsons Disease using Transformer networks and a single waist worn triaxial accelerometer
di: Sigcha, Luis, et al.
Pubblicazione: (2024)

VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series
di: Haule, Hollan, et al.
Pubblicazione: (2023)

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
di: Dan, Jonathan, et al.
Pubblicazione: (2024)

Cascade of one-class classifier ensemble and dynamic naive Bayes classifier applied to the myoelectric-based upper limb prosthesis control with contaminated channels detection
di: Trajdos, Pawel, et al.
Pubblicazione: (2025)

Time topological analysis of EEG using signature theory
di: Chrétien, Stéphane, et al.
Pubblicazione: (2024)

Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
di: Galdo, Antía López, et al.
Pubblicazione: (2022)

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
di: Moulaeifard, Mohammad, et al.
Pubblicazione: (2025)

CODE-II: A large-scale dataset for artificial intelligence in ECG analysis
di: Abreu, Petrus E. O. G. B., et al.
Pubblicazione: (2025)

PHemoNet: A Multimodal Network for Physiological Signals
di: Lopez, Eleonora, et al.
Pubblicazione: (2024)

Abnormality Prediction and Forecasting of Laboratory Values from Electrocardiogram Signals Using Multimodal Deep Learning
di: Alcaraz, Juan Miguel Lopez, et al.
Pubblicazione: (2024)

Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features
di: Alcaraz, Juan Miguel Lopez, et al.
Pubblicazione: (2024)

Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
di: Villalobos, Adrian, et al.
Pubblicazione: (2025)

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
di: Alcaraz, Juan Miguel López, et al.
Pubblicazione: (2026)

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study
di: Alcaraz, Juan Miguel Lopez, et al.
Pubblicazione: (2024)

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
di: Alcaraz, Juan Miguel Lopez, et al.
Pubblicazione: (2024)

Enhancing clinical decision support with physiological waveforms -- a multimodal benchmark in emergency care
di: Alcaraz, Juan Miguel Lopez, et al.
Pubblicazione: (2024)

Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning
di: Hammami, Cheima, et al.
Pubblicazione: (2024)

Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
di: Strodthoff, Nils, et al.
Pubblicazione: (2023)

L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection
di: Ortigoso-Narro, Jorge, et al.
Pubblicazione: (2024)

The OPS-SAT benchmark for detecting anomalies in satellite telemetry
di: Ruszczak, Bogdan, et al.
Pubblicazione: (2024)

The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
di: Del Pup, Federico, et al.
Pubblicazione: (2025)

Spatio-Temporal 3D Point Clouds from WiFi-CSI Data via Transformer Networks
di: Määttä, Tuomas, et al.
Pubblicazione: (2024)