{"id":15975665,"url":"https://github.com/angusg/edas","last_synced_at":"2025-04-04T17:13:49.240Z","repository":{"id":29240546,"uuid":"32772628","full_name":"AngusG/EDAS","owner":"AngusG","description":"Predict seizures! Bivariate features from intracranial EEG classified with libSVM/GNU Octave","archived":false,"fork":false,"pushed_at":"2015-03-26T03:16:25.000Z","size":156,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-10T02:27:42.562Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AngusG.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2015-03-24T02:57:37.000Z","updated_at":"2015-06-03T12:50:50.000Z","dependencies_parsed_at":"2022-08-22T05:50:33.036Z","dependency_job_id":null,"html_url":"https://github.com/AngusG/EDAS","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AngusG%2FEDAS","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AngusG%2FEDAS/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AngusG%2FEDAS/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AngusG%2FEDAS/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AngusG","download_url":"https://codeload.github.com/AngusG/EDAS/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247217221,"owners_count":20903009,"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","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":[],"created_at":"2024-10-07T22:04:28.562Z","updated_at":"2025-04-04T17:13:49.215Z","avatar_url":"https://github.com/AngusG.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EDAS - Epileptic Driver Assistance System\n\nRun one of \n\n\u003cul\u003e\n\n\u003cli\u003e ppmat.py /* preictal */ \u003c/li\u003e\n\u003cli\u003e ipmat.py /* interictal */ \u003c/li\u003e\n\u003cli\u003e tmat.py  /* test */ \u003c/li\u003e\n\n\u003c/ul\u003e\n\n\u003cp\u003e saves to data/\"segment_type\"\"segment_number\".txt \u003c/p\u003e\n\n\u003cp\u003e In load.m, edit fields segment and type \u003c/p\u003e\n\n\u003col\u003e\n\n\u003cli\u003e Run load.m in Ocatve \u003c/li\u003e\n\n\u003cli\u003e Run ep.m to calculate cross correlations and save to file. \u003c/li\u003e\n\n\u003cli\u003e Run savemovie.m to transpose and save as csv \u003c/li\u003e\n\n\u003cli\u003e Run ./convert svmdata/test.txt \u003e svmdata/svmtext.txt \u003c/li\u003e\n\n\u003c/ol\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fangusg%2Fedas","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fangusg%2Fedas","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fangusg%2Fedas/lists"}