:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Basso, Giulio, Long, Xi, Haakma, Reinder, Vullings, Rik
Format:	Preprint
Published:	2025
Subjects:	Signal Processing
Online Access:	https://arxiv.org/abs/2508.10805
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Removing motion artifacts from mechanomyographic signals: an innovative filtering method applied to human movement analysis
by: Correa, Matthieu, et al.
Published: (2025)

Exploring the limitations of blood pressure estimation using the photoplethysmography signal
by: Dias, Felipe M., et al.
Published: (2024)

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
by: Goda, Márton Á., et al.
Published: (2025)

A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals
by: Almeida, Douglas A., et al.
Published: (2023)

Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
by: Bench, Ciaran, et al.
Published: (2025)

Deep learning improved autofocus for motion artifact reduction and its application in quantitative susceptibility mapping
by: Li, Chao, et al.
Published: (2024)

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

SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography
by: Attia, Shirel, et al.
Published: (2024)

Implementation of tools for lessening the influence of artifacts in EEG signal analysis
by: Molina-Molina, Mario, et al.
Published: (2024)

A divide-and-conquer approach for sparse recovery of high dimensional signals
by: Bevelander, Aron, et al.
Published: (2024)

SIM-Aided Near-Field Channel and Localization Estimation With Dimensionality Reduction: A Multiport Network Theory Approach
by: Abrardo, Andrea, et al.
Published: (2026)

Ongoing EEG artifact correction using blind source separation
by: Ille, Nicole, et al.
Published: (2023)

Efficient machine learning for motion sensing for lighting applications
by: Pijlman, Fetze
Published: (2024)

Signal-adapted decomposition of graph signals
by: Behjat, Harry H., et al.
Published: (2025)

Discriminative reconstruction via simultaneous dense and sparse coding
by: Tasissa, Abiy, et al.
Published: (2020)

Color Image steganography using Deep convolutional Autoencoders based on ResNet architecture
by: Hashemi, Seyed Hesam Odin, et al.
Published: (2022)

Sensor placement for sparse force reconstruction
by: Lee, Jeunghoon
Published: (2025)

Flexible fast-convolution processing for cellular radio evolution
by: Yli-Kaakinen, Juha, et al.
Published: (2022)

An alternative approach for the convolution in time-domain: the taches-algorithms
by: Millot, Laurent, et al.
Published: (2024)

Revisiting proximity effect using broadband signals
by: Millot, Laurent, et al.
Published: (2024)

JNEEG shield for Jetson Nano for real-time EEG signal processing with deep learning
by: Rakhmatulin, Ildar
Published: (2024)

Experimental Characterization of a Multifunction X-Band AESA Radar Demonstrator
by: Mancuso, Francesco, et al.
Published: (2026)

Cardiac and respiratory motion extraction for MRI using Pilot Tone-a patient study
by: Chen, Chong, et al.
Published: (2022)

Parameter estimation of range-migrating targets using OTFS signals from LEO satellites
by: Ding, Tong, et al.
Published: (2025)

Dimension reduction methods, persistent homology and machine learning for EEG signal analysis of Interictal Epileptic Discharges
by: Stiehl, Annika, et al.
Published: (2025)

Interpreting Deepcode, a learned feedback code
by: Zhou, Yingyao, et al.
Published: (2024)

Software demodulation of weak radio signals using convolutional neural network
by: Kozlenko, Mykola, et al.
Published: (2025)

RIS-Aided Covert Communications with Statistical CSI: A Multiport Network Theory Approach
by: Abrardo, Andrea, et al.
Published: (2024)

Diagnosing epilepsy using entropy measures and embedding parameters of EEG signals
by: Valipour, Fatemeh, et al.
Published: (2024)

A method for signal components identification in acoustic signal with non-Gaussian background noise using clustering of data in time-frequency domain
by: Drewnicka, A, et al.
Published: (2025)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition
by: Matteo Diez, et al.
Published: (2024)

Deep learning classification system for coconut maturity levels based on acoustic signals
by: Caladcad, June Anne, et al.
Published: (2024)

Improving DCE-MRI through unfolded low-rank + sparse optimisation
by: Mokrý, Ondřej, et al.
Published: (2023)

Continuous subsurface property retrieval from sparse radar observations using physics informed neural networks
by: Aziz, Ishfaq, et al.
Published: (2025)

Audio signal interpolation using optimal transportation of spectrograms
by: Valdivia, David, et al.
Published: (2025)

Unsupervised detection and classification of heartbeats using the dissimilarity matrix in PCG signals
by: Torre-Cruz, J., et al.
Published: (2024)

EEG-SeeGraph: Interpreting functional connectivity disruptions in dementias via sparse-explanatory dynamic EEG-graph learning
by: Wu, Fengcheng, et al.
Published: (2026)

Sample entropy for graph signals: An approach to nonlinear analysis of graph signals
by: Lei, Mei-San Maggie, et al.
Published: (2026)

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