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...

Full description

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
dc.type.spa.fl_str_mv Tesis/Trabajo de grado - Monografía - Doctorado
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dc.language.iso.spa.fl_str_mv eng
language eng
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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
institution Universidad de Antioquia
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spelling 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. 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