{"id":25953812,"url":"https://github.com/jnahuel-developer/casco-bci","last_synced_at":"2025-10-09T19:14:28.681Z","repository":{"id":276892685,"uuid":"930654908","full_name":"jnahuel-developer/Casco-BCI","owner":"jnahuel-developer","description":"Aplicación gráfica para la detección de patrones cerebrales con un casco BCI","archived":false,"fork":false,"pushed_at":"2025-02-11T20:46:15.000Z","size":2694,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-05T04:14:00.948Z","etag":null,"topics":["bci","csharp","firmware"],"latest_commit_sha":null,"homepage":"","language":"C#","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/jnahuel-developer.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-02-11T01:39:08.000Z","updated_at":"2025-02-12T02:18:06.000Z","dependencies_parsed_at":"2025-06-03T01:02:41.416Z","dependency_job_id":null,"html_url":"https://github.com/jnahuel-developer/Casco-BCI","commit_stats":null,"previous_names":["jnahuel-developer/casco-bci"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jnahuel-developer/Casco-BCI","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jnahuel-developer%2FCasco-BCI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jnahuel-developer%2FCasco-BCI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jnahuel-developer%2FCasco-BCI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jnahuel-developer%2FCasco-BCI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jnahuel-developer","download_url":"https://codeload.github.com/jnahuel-developer/Casco-BCI/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jnahuel-developer%2FCasco-BCI/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279001978,"owners_count":26083243,"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":"2025-10-09T02:00:07.460Z","response_time":59,"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":["bci","csharp","firmware"],"created_at":"2025-03-04T15:36:48.900Z","updated_at":"2025-10-09T19:14:28.676Z","avatar_url":"https://github.com/jnahuel-developer.png","language":"C#","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🧠 Casco BCI - Control de Periféricos mediante Señales Cerebrales  \n\nEste proyecto desarrolla un **sistema de detección de patrones cerebrales** en respuesta a estímulos visuales, permitiendo el control de periféricos y herramientas mediante señales cerebrales del paciente.  \n\n✅ **Uso del casco OpenBCI para la adquisición de señales cerebrales.**  \n✅ **Registro de actividad cerebral con un ADC de alta precisión y 8 canales.**  \n✅ **Aplicación gráfica en C# para controlar estímulos visuales y registrar señales.**  \n✅ **Procesamiento de datos en Matlab para detectar el patrón P300.**  \n✅ **Almacenamiento de datos en CSV y base de datos para análisis posterior.**  \n\n\n---\n---\n\n\n## 🏗️ Arquitectura del Sistema  \n\nEl sistema está compuesto por:  \n\n🔹 **Casco OpenBCI**  \n- Frame impreso en 3D, adaptable a diversas medidas de cráneo.  \n- Conversor ADC de alta precisión con 8 canales para el registro de señales cerebrales.  \n\n🔹 **Aplicación Gráfica en C#**  \n- Control de estímulos visuales presentados al paciente.  \n- Comunicación con el casco y registro de lecturas de sensores.  \n- Envío de las muestras recopiladas para su procesamiento.  \n\n🔹 **Procesamiento en Matlab**  \n- Análisis de las señales cerebrales.  \n- Detección del patrón P300 y su ubicación temporal.  \n- Correlación con los estímulos visuales para estimar la respuesta del paciente.  \n\n📂 **Almacenamiento de datos:**  \n- **Archivos CSV:** Registro de todas las muestras del estudio.  \n- **Base de datos:** Almacena la configuración del estudio y los resultados obtenidos.  \n\n\n---\n---\n\n\n## 🛠️ Tecnologías Utilizadas  \n\n- **Adquisición de Señales:** Casco OpenBCI  \n- **Lenguaje de Desarrollo:** C#  \n- **Procesamiento de Datos:** Matlab  \n- **Base de Datos:** MySQL  \n- **Formato de Almacenamiento:** CSV  \n\n\n---\n---\n\n\n## 📜 Publicación en Congreso  \n\nLos resultados de este trabajo fueron presentados en el congreso **Argencon**, con un alto grado de acierto en la detección del patrón P300.  \nEl **paper publicado** puede verse [`aqui`](https://github.com/jnahuel-developer/Casco-BCI/blob/main/Paper/2018.%20Argencon.pdf).  \n\n\n---\n---\n\n\n📩 **Contacto:** [jnahuel.developer@gmail.com](jnahuel.developer@gmail.com)  \n\n📩 **Contacto:** [https://www.linkedin.com/in/jnahuel/](https://www.linkedin.com/in/jnahuel/)  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjnahuel-developer%2Fcasco-bci","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjnahuel-developer%2Fcasco-bci","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjnahuel-developer%2Fcasco-bci/lists"}