A gaussian process emulator for estimating the volume of tissue activated during deep brain stimulation
A gaussian process emulator for estimating the volume of tissue activated during deep brain stimulation
| dc.creator | de la Pava Panche, Iván | |
| dc.date | 2016-02-09T21:48:43Z | |
| dc.date | 2021-11-02T20:35:05Z | |
| dc.date | 2016-02-09T21:48:43Z | |
| dc.date | 2021-11-02T20:35:05Z | |
| dc.date | 2015 | |
| dc.identifier | T615.845 D279;6310000113716 F3762 | |
| dc.identifier | https://hdl.handle.net/11059/5847 | |
| dc.description | The volume of tissue activated (VTA) is a well-established approach to model the direct effects of deep brain stimulation (DBS) on neural tissue and previous studies have pointed to its potential clinical applications. However, the elevated computational time required to estimate the VTA with standard techniques used in biological neural modeling limits its suitability for practical use. The goal of this project was to develop a novel methodology to reduce the computation time of VTA estimation. To that end, we built a Gaussian process emulator. It combines a field of multi-compartment axon models coupled to the stimulating electric field with a Gaussian process classifier (GPC); following the premise that computing the VTA from a field of axons is in essence a binary classification problem. We achieved a considerable reduction in the average time required to estimate the VTA, under both ideal isotropic and realistic anisotropic brain tissue conductive conditions, limiting the loss of accuracy and overcoming other drawbacks entailed by alternative methods. | |
| dc.format | application/pdf | |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.language | spa | |
| dc.publisher | Pereira : Universidad Tecnológica de Pereira | |
| dc.publisher | Facultad de Ingenierías Eléctrica, Electrónica y Ciencias de la Computación | |
| dc.publisher | Maestría en Ingeniería Eléctrica | |
| dc.rights | Attribution-NonCommercial-Noderivatives 4.0 International | |
| dc.rights | EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARÁGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD TECNOLOGICA de PEREIRA, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, decisión andina 351 de 1993, decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. | |
| dc.rights | openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Procesos de gauss | |
| dc.subject | Electricidad en medicina | |
| dc.subject | Electroterapia | |
| dc.subject | Simulación por computadores | |
| dc.subject | Redes neurales (Computadores) | |
| dc.title | A gaussian process emulator for estimating the volume of tissue activated during deep brain stimulation | |
| dc.title | A gaussian process emulator for estimating the volume of tissue activated during deep brain stimulation | |
| dc.type | masterThesis | |
| dc.type | acceptedVersion |