{"id":22160289,"url":"https://github.com/zabir-nabil/eeg-rsenet","last_synced_at":"2025-07-26T09:31:25.135Z","repository":{"id":44339283,"uuid":"146623908","full_name":"zabir-nabil/eeg-rsenet","owner":"zabir-nabil","description":"Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network","archived":false,"fork":false,"pushed_at":"2023-04-30T09:19:56.000Z","size":13442,"stargazers_count":40,"open_issues_count":0,"forks_count":13,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-03T02:04:38.541Z","etag":null,"topics":["biosignal","classification","eeg","eeg-classification","eeg-matlab","eeg-neural-networks","matlab-eeg-classification","motor-imagery","motor-imagery-eeg","neural-net","random-subspace-ensemble","random-subspace-ensemble-network","rse-net","signal-classification"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zabir-nabil.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-08-29T15:53:16.000Z","updated_at":"2024-09-25T03:29:43.000Z","dependencies_parsed_at":"2022-08-27T16:51:09.524Z","dependency_job_id":null,"html_url":"https://github.com/zabir-nabil/eeg-rsenet","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/zabir-nabil/eeg-rsenet","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zabir-nabil%2Feeg-rsenet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zabir-nabil%2Feeg-rsenet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zabir-nabil%2Feeg-rsenet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zabir-nabil%2Feeg-rsenet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zabir-nabil","download_url":"https://codeload.github.com/zabir-nabil/eeg-rsenet/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zabir-nabil%2Feeg-rsenet/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267145508,"owners_count":24042650,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-26T02:00:08.937Z","response_time":62,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["biosignal","classification","eeg","eeg-classification","eeg-matlab","eeg-neural-networks","matlab-eeg-classification","motor-imagery","motor-imagery-eeg","neural-net","random-subspace-ensemble","random-subspace-ensemble-network","rse-net","signal-classification"],"created_at":"2024-12-02T04:07:15.385Z","updated_at":"2025-07-26T09:31:24.357Z","avatar_url":"https://github.com/zabir-nabil.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Motor Imagery EEG Classification Using Random Subspace Ensemble Network with Variable Length Features\n\n*Running Matlab Scripts:* https://youtu.be/AeRMO98-URc\n\nThis is a codebase for motor imagery EEG experiments for **three** projects.\n\n1. Matlab-based baseline for EEG classification. `(minimal matlab)`\n\n2. Classification of motor imagery EEG signals with multi-input convolutional neural network by augmenting STFT. [[IEEE]](https://ieeexplore.ieee.org/document/8975578) [[PDF]](https://www.researchgate.net/publication/335241301_Classification_of_Motor_Imagery_EEG_Signals_with_multi-input_Convolutional_Neural_Network_by_augmenting_STFT) *Notebooks:* `(STFT_CNN_benchmark.ipynb, bci_4_tl_sub1.ipynb, bci_4_tl_sub2.ipynb)`\n\n3. Motor Imagery EEG Classification Using Random Subspace Ensemble Network with Variable Length Features. [[Google Scholar]](https://scholar.google.com/citations?view_op=view_citation\u0026hl=en\u0026user=Fd1-G4YAAAAJ\u0026citation_for_view=Fd1-G4YAAAAJ:eQOLeE2rZwMC) [[PDF]](https://www.researchgate.net/publication/350403311_Motor_Imagery_EEG_Classification_Using_Random_Subspace_Ensemble_Network_with_Variable_Length_Features) *Notebooks:* `(result.ipynb, result_all.ipynb, result_rsenet.ipynb, result_rsenet_all.ipynb, visualization.ipynb)`\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzabir-nabil%2Feeg-rsenet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzabir-nabil%2Feeg-rsenet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzabir-nabil%2Feeg-rsenet/lists"}