Cover Image

Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yihe, Huang, Nan, Li, Taida, Yan, Yujun, Zhang, Xiang
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedMamba: Recasting Mamba for Medical Time Series Classification
by: He, ZhengXiao, et al.
Published: (2026)

Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
by: Mobin, Md Kamrujjaman, et al.
Published: (2025)

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods
by: Li, Taida, et al.
Published: (2026)

A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
by: Li, Xiang, et al.
Published: (2024)

LEAD: An EEG Foundation Model for Alzheimer's Disease Detection
by: Wang, Yihe, et al.
Published: (2025)

TRLS: A Time Series Representation Learning Framework via Spectrogram for Medical Signal Processing
by: Xie, Luyuan, et al.
Published: (2024)

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration
by: Zhang, Yuren, et al.
Published: (2025)

Interpretable Pre-Trained Transformers for Heart Time-Series Data
by: Davies, Harry J., et al.
Published: (2024)

A Comprehensive Benchmark for Electrocardiogram Time-Series
by: Tang, Zhijiang, et al.
Published: (2025)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
by: Nakano, Hiroshi, et al.
Published: (2025)

UniMTS: Unified Pre-training for Motion Time Series
by: Zhang, Xiyuan, et al.
Published: (2024)

FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
by: Chen, Chi-Sheng, et al.
Published: (2026)

Deep Time Warping for Multiple Time Series Alignment
by: Nourbakhsh, Alireza, et al.
Published: (2025)

Large Transformers are Better EEG Learners
by: Wang, Bingxin, et al.
Published: (2023)

FilterNet: Harnessing Frequency Filters for Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)

Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features
by: Ghosh, Sucheta, et al.
Published: (2026)

AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
by: Zeng, Chen, et al.
Published: (2025)

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
by: Vaca-Rubio, Cristian J., et al.
Published: (2024)

Masked Transformer for Electrocardiogram Classification
by: Zhou, Ya, et al.
Published: (2023)

Constrained Posterior Sampling: Time Series Generation with Hard Constraints
by: Narasimhan, Sai Shankar, et al.
Published: (2024)

TADA: Temporal Adversarial Data Augmentation for Time Series Data
by: Lee, Byeong Tak, et al.
Published: (2024)

TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
by: Lu, Yihang, et al.
Published: (2025)

Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
by: Chen, Xi, et al.
Published: (2024)

ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection
by: Wang, Yihe, et al.
Published: (2024)

A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
by: Vaca-Rubio, Cristian J., et al.
Published: (2025)

Identifying TBI Physiological States by Clustering Multivariate Clinical Time-Series Data
by: Ghaderi, Hamid, et al.
Published: (2023)

Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
by: Patel, Gaurav, et al.
Published: (2024)

A Multitask VAE for Time Series Preprocessing and Prediction of Blood Glucose Level
by: AbuSaleh, Ali, et al.
Published: (2024)

DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
by: Li, Xiaolin, et al.
Published: (2025)

CardioPatternFormer: Pattern-Guided Attention for Interpretable ECG Classification with Transformer Architecture
by: Uğraş, Berat Kutay, et al.
Published: (2025)

HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
by: Lee, Simon A., et al.
Published: (2025)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
by: Zhang, Kexin, et al.
Published: (2023)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)

Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
by: Afzali, Amirabbas, et al.
Published: (2024)

Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting
by: Gupta, Divij, et al.
Published: (2024)

Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
by: Gkillas, Alexandros, et al.
Published: (2024)

Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals
by: Vu, Tu, et al.
Published: (2023)

Image-based Data Representations of Time Series: A Comparative Analysis in EEG Artifact Detection
by: Maiwald, Aaron, et al.
Published: (2023)

A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets
by: Elhalwagy, Ayman, et al.
Published: (2023)

SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
by: Ryu, Hyun, et al.
Published: (2023)