RODRÍGUEZ BELTRÁN, CAMILO IGNACIO
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RODRÍGUEZ BELTRÁN, CAMILO IGNACIO
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camilorodriguez@udd.cl
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Scopus Author ID
24175341600
57488548800

Research Output

2024 2024 2023 2023 2022 2022 0.0 0.0 0.2 0.2 0.4 0.4 0.6 0.6 0.8 0.8 1.0 1.0

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Publication

Nuestros Suelos: exploring new forms of public engagement with polluted soils

2022 , Sebastian Ureta , Miriam Llona , Rodríguez Oroz, María Delia , Daniel Valenzuela , Carolina Trujillo , Consuelo Guiñez , ALEJANDRO REBOLLEDO , María José Maiza , RODRÍGUEZ BELTRÁN, CAMILO IGNACIO

Despite being a critical environmental problem, soil pollution is not usually considered as a relevant issue by the general public. This disinterest derives from traditional procedures to assess soil pollution that are quite complex and costly, not considering any form of citizen involvement. Seeking to challenge this situation, the project “Nuestros Suelos” (Our Soil) aimed at designing and testing a low-cost participative soil pollution assessment toolkit. The final prototype included several participative modules, going from an assessment of the history of local soils to measuring heavy metals such as Arsenic and Copper. Tested with low-income communities in northern Chile, the toolkit was able not only to produce multiple kinds of data but also a public that started to understand and care about the issue.

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New Highly Portable Simulator (SECMA) Based on Virtual Reality for Teaching Essential Skills in Minimally Invasive Surgeries

2023 , GUZMAN MONTOTO, JOSE IGNACIO , HERRERA MARÍN, MAURICIO RENÉ , RODRÍGUEZ BELTRÁN, CAMILO IGNACIO

This study presents a new minimal access surgery training system, SECMA, and its constructive validation to determine its usefulness for training basic laparoscopic skills. SECMA is an affordable, highly portable, mobile virtual reality training tool for laparoscopic techniques that integrates the Oculus Quest with a mechanical interface for surgeon simulation of forceps using the hand controllers of these devices. It allows the execution of structured activities (supported by virtual scenarios simulating operating rooms developed in Unity), performance evaluation, and real-time data capture. Two experiments were carried out: 1) coordination; and 2) capture and transport, with a total of 21 individuals divided into two groups: a novice group (inexperienced) of 10 participants and an expert group (>100 endoscopic procedures) of 11 participants. Total task time score, right-hand speed, path length, and other metrics from several consecutive runs on the simulator were compared between experts and novices. Data automatically recorded by SECMA during the experiments were analyzed using hypothesis tests, linear regressions, analysis of variance, principal component analysis, and machine learning-supervised classifiers. In the experiments, the experts scored significantly better than the novices in all the parameters used. The tasks evaluated discriminated between the skills of experienced and novice surgeons, giving the first indication of construct validity for SECMA.

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Designing a Novel VR Simulator for Core Laparoscopic Skills and Assessing Its Construct Validity via Machine Learning

2024 , GUZMAN MONTOTO, JOSE IGNACIO , Boris Marinkovic Gomez , RODRÍGUEZ BELTRÁN, CAMILO IGNACIO , HERRERA MARÍN, MAURICIO RENÉ

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