Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator
ABSTRACT : Laparoscopic surgery has become the first option to perform procedures that involve abdominal cavity. This minimally invasive technique requires the surgeon to acquire special skills and abilities to work without tactile and depth perception. Therefore, surgeons training has been taken ou...
- Autores:
-
Suárez Revelo, Jazmín Ximena
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2023
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/33270
- Acceso en línea:
- https://hdl.handle.net/10495/33270
- Palabra clave:
- Laparoscopy
Laparoscopía
Electroencephalography
Electroencefalografía
Electrocardiography
Electrocardiografía
Simulación por computadores
Computer simulation
Realidad virtual
Virtual reality
- Rights
- embargoedAccess
- License
- http://creativecommons.org/licenses/by-nc-sa/2.5/co/
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| dc.title.spa.fl_str_mv |
Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator |
| title |
Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator |
| spellingShingle |
Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator Laparoscopy Laparoscopía Electroencephalography Electroencefalografía Electrocardiography Electrocardiografía Simulación por computadores Computer simulation Realidad virtual Virtual reality |
| title_short |
Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator |
| title_full |
Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator |
| title_fullStr |
Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator |
| title_full_unstemmed |
Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator |
| title_sort |
Quantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulator |
| dc.creator.fl_str_mv |
Suárez Revelo, Jazmín Ximena |
| dc.contributor.advisor.none.fl_str_mv |
Hernandez Valdivieso, Alher Mauricio Ochoa Gomez, John Fredy |
| dc.contributor.author.none.fl_str_mv |
Suárez Revelo, Jazmín Ximena |
| dc.contributor.researchgroup.spa.fl_str_mv |
Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica (GIBIC) |
| dc.subject.decs.none.fl_str_mv |
Laparoscopy Laparoscopía Electroencephalography Electroencefalografía Electrocardiography Electrocardiografía |
| topic |
Laparoscopy Laparoscopía Electroencephalography Electroencefalografía Electrocardiography Electrocardiografía Simulación por computadores Computer simulation Realidad virtual Virtual reality |
| dc.subject.lemb.none.fl_str_mv |
Simulación por computadores Computer simulation Realidad virtual Virtual reality |
| description |
ABSTRACT : Laparoscopic surgery has become the first option to perform procedures that involve abdominal cavity. This minimally invasive technique requires the surgeon to acquire special skills and abilities to work without tactile and depth perception. Therefore, surgeons training has been taken out of the operating room to laboratories with the use of instruments such as training boxes, videos and simulators. Of the above, virtual reality simulators have become an important part of training and have shown to improve the performance of residents in operating room. The assessment of resident training involves several aspects including skill acquisition, interaction with instrumental and cognitive assessment. Of all aspects to be evaluated, one of those that have not been approached in an effective way, because it does not include quantitative strategies, is the cognitive evaluation throughout learning process. Analysis of neurophysiological signals such as electroencephalography (EEG) and electrocardiography (ECG) allows to evaluate the cognitive state under which the subject is performing an activity. Its effectiveness has been demonstrated in a wide range of applications ranging from the evaluation of performance during a task execution, to training in flight simulators and air traffic controllers. This doctoral thesis it is proposed to obtain quantitative information about changes in the EEG and ECG signals associated with learning progress throughout the training period in general surgery residents. |
| publishDate |
2023 |
| dc.date.accessioned.none.fl_str_mv |
2023-01-27T16:35:28Z |
| dc.date.available.none.fl_str_mv |
2023-01-27T16:35:28Z |
| dc.date.issued.none.fl_str_mv |
2023 |
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Tesis/Trabajo de grado - Monografía - Doctorado |
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http://purl.org/coar/resource_type/c_db06 |
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info:eu-repo/semantics/doctoralThesis |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_db06 |
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draft |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10495/33270 |
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https://hdl.handle.net/10495/33270 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
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http://creativecommons.org/licenses/by-nc-sa/2.5/co/ |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ |
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109 |
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| dc.publisher.spa.fl_str_mv |
Universidad de Antioquia |
| dc.publisher.place.spa.fl_str_mv |
Medellín - Colombia |
| dc.publisher.faculty.spa.fl_str_mv |
Facultad de Ingeniería. Doctorado en Ingeniería Electrónica y de Computación |
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Universidad de Antioquia |
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Hernandez Valdivieso, Alher MauricioOchoa Gomez, John FredySuárez Revelo, Jazmín XimenaGrupo de Investigación en Bioinstrumentación e Ingeniería Clínica (GIBIC)2023-01-27T16:35:28Z2023-01-27T16:35:28Z2023https://hdl.handle.net/10495/33270ABSTRACT : Laparoscopic surgery has become the first option to perform procedures that involve abdominal cavity. This minimally invasive technique requires the surgeon to acquire special skills and abilities to work without tactile and depth perception. Therefore, surgeons training has been taken out of the operating room to laboratories with the use of instruments such as training boxes, videos and simulators. Of the above, virtual reality simulators have become an important part of training and have shown to improve the performance of residents in operating room. The assessment of resident training involves several aspects including skill acquisition, interaction with instrumental and cognitive assessment. Of all aspects to be evaluated, one of those that have not been approached in an effective way, because it does not include quantitative strategies, is the cognitive evaluation throughout learning process. Analysis of neurophysiological signals such as electroencephalography (EEG) and electrocardiography (ECG) allows to evaluate the cognitive state under which the subject is performing an activity. Its effectiveness has been demonstrated in a wide range of applications ranging from the evaluation of performance during a task execution, to training in flight simulators and air traffic controllers. This doctoral thesis it is proposed to obtain quantitative information about changes in the EEG and ECG signals associated with learning progress throughout the training period in general surgery residents.DoctoradoDoctor en Ingeniería Electrónica y de Computación109application/pdfengUniversidad de AntioquiaMedellín - ColombiaFacultad de Ingeniería. Doctorado en Ingeniería Electrónica y de Computaciónhttp://creativecommons.org/licenses/by-nc-sa/2.5/co/https://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfQuantitative assessment of learning process from EEG and ECG signals during training in laparoscopic surgery using a simulatorTesis/Trabajo de grado - Monografía - Doctoradohttp://purl.org/coar/resource_type/c_db06https://purl.org/redcol/resource_type/TDhttp://purl.org/coar/version/c_b1a7d7d4d402bcceinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/draftLaparoscopyLaparoscopíaElectroencephalographyElectroencefalografíaElectrocardiographyElectrocardiografíaSimulación por computadoresComputer simulationRealidad virtualVirtual realityPublicationORIGINALSuarezJazmin_2023_AprendizajeLaparoscopiaEEG.pdfSuarezJazmin_2023_AprendizajeLaparoscopiaEEG.pdfTesis doctoralapplication/pdf2715593https://bibliotecadigital.udea.edu.co/bitstreams/81f576cd-1cc8-488f-84db-b6ad8a32c82c/download5cfcb108f11cfb1ad2e183e58d0b4001MD51trueAnonymousREAD2024-01-01CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81051https://bibliotecadigital.udea.edu.co/bitstreams/4a31cf42-ef66-409b-b36e-faf26b4722ee/downloade2060682c9c70d4d30c83c51448f4eedMD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/64fa671c-78f8-4e70-9cd0-4ca20da3730b/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADTEXTSuarezJazmin_2023_AprendizajeLaparoscopiaEEG.pdf.txtSuarezJazmin_2023_AprendizajeLaparoscopiaEEG.pdf.txtExtracted texttext/plain101687https://bibliotecadigital.udea.edu.co/bitstreams/7eb94320-5eaf-4984-b91c-6d2526c9ff8a/download0668219cf697211ae62cd9a210589e70MD54falseAnonymousREAD2024-01-01THUMBNAILSuarezJazmin_2023_AprendizajeLaparoscopiaEEG.pdf.jpgSuarezJazmin_2023_AprendizajeLaparoscopiaEEG.pdf.jpgGenerated Thumbnailimage/jpeg6810https://bibliotecadigital.udea.edu.co/bitstreams/32932153-3a3a-4aa9-bea1-5a6ee9ed74b7/download26bd56c29349289b433f281202431d26MD55falseAnonymousREAD2024-01-0110495/33270oai:bibliotecadigital.udea.edu.co:10495/332702025-03-27 00:04:13.627http://creativecommons.org/licenses/by-nc-sa/2.5/co/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |
