Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Feb 28, 2026

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

CapsFormer: A Dual-Stream Causal-Aware Capsule-Transformer Network for EMG Signal Representation Learning.

Pengpai Wang, Tiantian Xie, Yueying Zhou

IEEE Journal of Biomedical and Health Informatics

|February 26, 2026

Summary

This summary is machine-generated.

Related Concept Videos

Neural Circuits

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A Roadmap to Navigate the Future of Neural Engineering.

Journal of neural engineering·2026

Same author

Biomimetic astragaloside-IV-loaded mesoporous silica nanoparticles for treatment of dilated cardiomyopathy.

Frontiers in pharmacology·2026

Same author

Generative active learning guided discovery of a tobramycin and ciprofloxacin adjuvant against multidrug-resistant <i>Pseudomonas aeruginosa</i> infections.

Acta pharmaceutica Sinica. B·2026

Same author

A survey on data augmentation for EEG-based emotion recognition and cognitive workload decoding.

Frontiers in neuroscience·2026

Same author

Genetic dissection of clinical heterogeneity in Hemoglobin H patients by targeted long-read sequencing.

Journal of genetics and genomics = Yi chuan xue bao·2026

Same author

Bridging Distribution Gaps in Time Series Foundation Model Pretraining With Prototype-Guided Normalization.

IEEE transactions on neural networks and learning systems·2026

Same journal

An Ultra-Lightweight Cross-scale Attention Mamba Network for Accurate Skin Lesion Segmentation.

IEEE journal of biomedical and health informatics·2026

Same journal

Explanation-Guided Reconstruction of Missing Clinical Features for Survival Prediction in Pancreatic Cancer.

IEEE journal of biomedical and health informatics·2026

Same journal

stDGCN: A dual-augmentation graph convolutional network for identifying spatial domains with attention mechanism.

IEEE journal of biomedical and health informatics·2026

Same journal

Patient-specific Biomechanical Investigation of Percutaneous Pulmonary Valves: Towards the Integration of Routinely Acquired Clinical Data and Fluid-structure Interaction Simulations.

IEEE journal of biomedical and health informatics·2026

Same journal

Cross-subject fMRI-to-Image with Visual-cortex 2D Representation and Pre-Training.

IEEE journal of biomedical and health informatics·2026

Same journal

PGCASurv: A Prior-Guided Cross-Attention Framework for Dynamic Survival Model with Longitudinal Data.

IEEE journal of biomedical and health informatics·2026

See all related articles

We developed CapsFormer, a dual-stream network for electromyography (EMG) signal analysis. This improves gesture recognition accuracy and robustness for prosthetic control and human-machine interfaces.

Area of Science:

Biomedical Engineering
Machine Learning
Signal Processing

Background:

Electromyography (EMG) signals are crucial for prosthetic control, rehabilitation, and human-machine interaction.
Current gesture recognition algorithms struggle to balance temporal modeling with pose invariance, leading to poor generalization.
Existing methods often lack causal interpretability and robust feature integration.

Purpose of the Study:

To propose a novel dual-stream causal Capsule-Transformer network (CapsFormer) for enhanced EMG signal processing.
To improve gesture recognition accuracy, cross-subject robustness, and interpretability in EMG-based applications.
To address the limitations of existing approaches in balancing local and global feature extraction.

Main Methods:

Related Experiment Videos

Last Updated: Feb 28, 2026

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Developed a dual-stream network integrating a Transformer stream with causal attention and a Capsule stream with dynamic routing.

Employed causal attention in the Transformer stream to ensure time-step representations rely only on past signals.

Utilized dynamic routing in the Capsule stream to capture part-whole pose vectors, enhancing robustness to signal variations.

Main Results:

CapsFormer demonstrated superior performance compared to state-of-the-art models on a multi-subject EMG dataset.
Achieved significant improvements in recognition accuracy, cross-subject robustness, and model interpretability.
The dual-stream architecture effectively integrated local and global features for comprehensive EMG signal analysis.

Conclusions:

CapsFormer offers a new paradigm for efficient and interpretable EMG signal representation.
The proposed network enhances causally consistent temporal signal analysis for intelligent systems.
This research has significant implications for advancing intelligent prosthetic control and human-machine interfaces.