Cover Image

Self-Supervised Autoencoder Network for Robust Heart Rate Extraction from Noisy Photoplethysmogram: Applying Blind Source Separation to Biosignal Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Webster, Matthew B., Lee, Dongheon, Lee, Joonnyong
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders
by: Webster, Matthew B., et al.
Published: (2023)

Deep Complex-valued Radial Basis Function Neural Networks and Parameter Selection
by: Soares, Jonathan A., et al.
Published: (2024)

On the Parameter Selection of Phase-transmittance Radial Basis Function Neural Networks for Communication Systems
by: Soares, Jonathan A., et al.
Published: (2024)

Hypergraph Overlapping Community Detection for Brain Networks
by: Vu, Duc, et al.
Published: (2025)

Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
by: Lorenzen, Niels R., et al.
Published: (2025)

Combining Euclidean Alignment and Data Augmentation for BCI decoding
by: Rodrigues, Gustavo H., et al.
Published: (2024)

Inferring ECG from PPG for Continuous Cardiac Monitoring Using Lightweight Neural Network
by: Li, Yuenan, et al.
Published: (2020)

E-CONDOR: Efficient Contour-Based Detection Of Random Spatial Signals From UAV Observations Using Dual Stochastic Gradient
by: Zahra, Maryam, et al.
Published: (2024)

Modeling of Time-varying Wireless Communication Channel with Fading and Shadowing
by: Youngmin, Lee, et al.
Published: (2024)

Trusted Multi-view Learning under Noisy Supervision
by: Zhang, Yilin, et al.
Published: (2024)

IF-D: A High-Frequency, General-Purpose Inertial Foundation Dataset for Self-Supervised Learning
by: Ferreira, Patrick, et al.
Published: (2025)

Deep Learning based Modeling of Wireless Communication Channel with Fading
by: Youngmin, Lee, et al.
Published: (2023)

SeizureFormer: A Transformer Model for IEA-Based Seizure Risk Forecasting
by: Feng, Tianning, et al.
Published: (2025)

E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processing
by: Han, Yuntao, et al.
Published: (2024)

Geometric Neural Network based on Phase Space for BCI-EEG decoding
by: Carrara, Igor, et al.
Published: (2024)

Learning Displacement-Aware WiFi Representations for Weakly Supervised Relative Localization
by: Wei, Tzu-Ti, et al.
Published: (2026)

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding
by: Junqueira, Bruna, et al.
Published: (2024)

PRACH Preamble Detection as a Multi-Class Classification Problem: A Machine Learning Approach Using SVM
by: Ferenc, F., et al.
Published: (2025)

Regime Learning for Differentiable Particle Filters
by: Brady, John-Joseph, et al.
Published: (2024)

Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition
by: Wu, Qingyu, et al.
Published: (2026)

SPLICE: Latent Diffusion over JEPA Embeddings for Conformal Time-Series Inpainting
by: Zinflou, Arnaud
Published: (2026)

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints
by: Liu, Yingtian, et al.
Published: (2025)

Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications
by: Ahmadi, Hossein, et al.
Published: (2025)

NativeTernary: A Self-Delimiting Binary Encoding with Unary Run-Length Hierarchy Markers for Ternary Neural Network Weights, Structured Data, and General Computing Infrastructure
by: Savdhariya, Maharshi
Published: (2026)

How Much Temporal Modeling is Enough? A Systematic Study of Hybrid CNN-RNN Architectures for Multi-Label ECG Classification
by: Jafari, Alireza, et al.
Published: (2026)

VDW-GNNs: Vector diffusion wavelets for geometric graph neural networks
by: Johnson, David R., et al.
Published: (2025)

Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
by: Wang, Xudong, et al.
Published: (2025)

The Manifold Scattering Transform for High-Dimensional Point Cloud Data
by: Chew, Joyce, et al.
Published: (2022)

Self-Expanding Neural Networks
by: Mitchell, Rupert, et al.
Published: (2023)

Generalizing Numerical Reasoning in Table Data through Operation Sketches and Self-Supervised Learning
by: Cho, Hanjun, et al.
Published: (2026)

CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis
by: Alabdallah, Abdallah, et al.
Published: (2024)

Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
by: Du, Wenzhang
Published: (2025)

Graph Neural Network Based Action Ranking for Planning
by: Mangannavar, Rajesh, et al.
Published: (2024)

Local-Order Auxiliary Losses Can Improve Autoencoder Reconstruction
by: Dam, Harvey, et al.
Published: (2025)

Automated Detection of Circadian-Dependent Epileptic Biomarkers for Seizure Localization: A Machine Learning and Signal Processing Framework
by: Gashti, Mehdi Zekriyapanah, et al.
Published: (2025)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
by: Gasparino, Mateus Valverde, et al.
Published: (2024)

Symbol-Temporal Consistency Self-supervised Learning for Robust Time Series Classification
by: Garcia, Kevin, et al.
Published: (2025)

Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations
by: Kałuża, Daniel, et al.
Published: (2023)

Strengthening the Internal Adversarial Robustness in Lifted Neural Networks
by: Zach, Christopher
Published: (2025)