A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR
Fuente:
arXiv
Saved in:
| Main Authors: | Islam, Saidul, Bentahar, Jamal, Cohen, Robin, Rjoub, Gaith |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques
by: Islam, Saidul, et al.
Published: (2024)
by: Islam, Saidul, et al.
Published: (2024)
Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology
by: Rjoub, Gaith, et al.
Published: (2024)
by: Rjoub, Gaith, et al.
Published: (2024)
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments
by: Rjouba, Gaith, et al.
Published: (2025)
by: Rjouba, Gaith, et al.
Published: (2025)
Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
by: Hwaidi, Jamal, et al.
Published: (2025)
by: Hwaidi, Jamal, et al.
Published: (2025)
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis
by: Li, Xiaomin, et al.
Published: (2024)
by: Li, Xiaomin, et al.
Published: (2024)
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
by: Georgis-Yap, Zakary, et al.
Published: (2023)
by: Georgis-Yap, Zakary, et al.
Published: (2023)
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
by: Li, Xiaolin, et al.
Published: (2025)
by: Li, Xiaolin, et al.
Published: (2025)
BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease
by: Cohen, Seffi, et al.
Published: (2024)
by: Cohen, Seffi, et al.
Published: (2024)
Large-Scale Classification of Shortwave Communication Signals with Machine Learning
by: Scholl, Stefan
Published: (2025)
by: Scholl, Stefan
Published: (2025)
NMCSE: Noise-Robust Multi-Modal Coupling Signal Estimation Method via Optimal Transport for Cardiovascular Disease Detection
by: Zhang, Peihong, et al.
Published: (2025)
by: Zhang, Peihong, et al.
Published: (2025)
SignalLLM: A General-Purpose LLM Agent Framework for Automated Signal Processing
by: Ke, Junlong, et al.
Published: (2025)
by: Ke, Junlong, et al.
Published: (2025)
Machine Learning Techniques to Identify Hand Gestures amidst Forearm Muscle Signals
by: Cho, Ryan, et al.
Published: (2024)
by: Cho, Ryan, et al.
Published: (2024)
TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
by: Xie, Luyuan, et al.
Published: (2024)
by: Xie, Luyuan, et al.
Published: (2024)
Dilated CNNs for Periodic Signal Processing: A Low-Complexity Approach
by: Gildish, Eli, et al.
Published: (2026)
by: Gildish, Eli, et al.
Published: (2026)
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms
by: Jamal, Saad Ahmed
Published: (2023)
by: Jamal, Saad Ahmed
Published: (2023)
Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation
by: Zhou, Rushuang, et al.
Published: (2025)
by: Zhou, Rushuang, et al.
Published: (2025)
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models
by: Chen, Yan, et al.
Published: (2024)
by: Chen, Yan, et al.
Published: (2024)
Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery
by: Zhou, Xinliang, et al.
Published: (2025)
by: Zhou, Xinliang, et al.
Published: (2025)
Soil Characterization of Watermelon Field through Internet of Things: A New Approach to Soil Salinity Measurement
by: Rahman, Md. Naimur, et al.
Published: (2024)
by: Rahman, Md. Naimur, et al.
Published: (2024)
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
by: Thapa, Rahul, et al.
Published: (2024)
by: Thapa, Rahul, et al.
Published: (2024)
Holographic Transformers for Complex-Valued Signal Processing: Integrating Phase Interference into Self-Attention
by: Huang, Enhao, et al.
Published: (2025)
by: Huang, Enhao, et al.
Published: (2025)
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals
by: Vu, Tu, et al.
Published: (2023)
by: Vu, Tu, et al.
Published: (2023)
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
by: Chen, Jun, et al.
Published: (2024)
by: Chen, Jun, et al.
Published: (2024)
Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
by: Chen, Zhisheng, et al.
Published: (2025)
by: Chen, Zhisheng, et al.
Published: (2025)
Refining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
by: Zahid, Muhammad Uzair, et al.
Published: (2024)
by: Zahid, Muhammad Uzair, et al.
Published: (2024)
Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
by: Zhou, Hao, et al.
Published: (2026)
by: Zhou, Hao, et al.
Published: (2026)
Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models
by: Nguyen, Hong-Hai, et al.
Published: (2023)
by: Nguyen, Hong-Hai, et al.
Published: (2023)
MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation
by: Radwan, Ahmed Y., et al.
Published: (2026)
by: Radwan, Ahmed Y., et al.
Published: (2026)
Evaluation of Deep Learning Models for LBBB Classification in ECG Signals
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)
VCR: Learning Valid Contextual Representation for Incomplete Wearable Signals
by: Weng, Yuxuan, et al.
Published: (2026)
by: Weng, Yuxuan, et al.
Published: (2026)
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
by: Mobin, Md Kamrujjaman, et al.
Published: (2025)
by: Mobin, Md Kamrujjaman, et al.
Published: (2025)
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
by: Rukhsar, Salim, et al.
Published: (2024)
by: Rukhsar, Salim, et al.
Published: (2024)
Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline
by: Gkikas, Stefanos, et al.
Published: (2025)
by: Gkikas, Stefanos, et al.
Published: (2025)
H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses
by: Gu, Haidong, et al.
Published: (2024)
by: Gu, Haidong, et al.
Published: (2024)
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
by: Li, Yisheng, et al.
Published: (2024)
by: Li, Yisheng, et al.
Published: (2024)
Unsupervised clustering of disturbances in power systems via deep convolutional autoencoders
by: Islam, Md Maidul, et al.
Published: (2023)
by: Islam, Md Maidul, et al.
Published: (2023)
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
by: Wang, Fuying, et al.
Published: (2025)
by: Wang, Fuying, et al.
Published: (2025)
Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
by: Rao, Qiyu, et al.
Published: (2026)
by: Rao, Qiyu, et al.
Published: (2026)
Attention and Autoencoder Hybrid Model for Unsupervised Online Anomaly Detection
by: Najafi, Seyed Amirhossein, et al.
Published: (2024)
by: Najafi, Seyed Amirhossein, et al.
Published: (2024)
Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals
by: Su, ZhiWei, et al.
Published: (2026)
by: Su, ZhiWei, et al.
Published: (2026)
Similar Items
-
Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques
by: Islam, Saidul, et al.
Published: (2024) -
Enhancing IoT Intelligence: A Transformer-based Reinforcement Learning Methodology
by: Rjoub, Gaith, et al.
Published: (2024) -
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments
by: Rjouba, Gaith, et al.
Published: (2025) -
Motor Imagery EEG Signal Classification Using Minimally Random Convolutional Kernel Transform and Hybrid Deep Learning
by: Hwaidi, Jamal, et al.
Published: (2025) -
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis
by: Li, Xiaomin, et al.
Published: (2024)