eeg-rsenet
importedsoftware/eeg-rsenet
Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/zabir-nabil/eeg-rsenet
- Documentation
- unknown
- Tags
- biosignal · classification · eeg · eeg-classification · eeg-matlab · eeg-neural-networks · matlab-eeg-classification · motor-imagery
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- EEG-ATCNetclassification · eeg · motor-imagery
Attention temporal convolutional network for EEG-based motor imagery classification
- ECG-Multi-Label-Classification-Using-Multi-Modelbiosignal · classification
In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.
- aawedhaeeg · motor-imagery
Deep Learning toolbox for EEG based Brain-Computer Interface signals decoding and benchmarking
- channel_selectioneeg · motor-imagery
Some studies regarding the selection of optimal channels in a BCI based on motor imagery
- scpinfobiosignal
A python command line tool to read an SCP-ECG file and print structure information
- sEMG-Simbiosignal
Source code for multiple parameter modelling of synthetic electromyography data.
- api.github.com/repos/zabir-nabil/eeg-rsenetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-04-30, 41 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/14.json→ .entries["eeg-rsenet"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.