Publicaciones

Mostrando 1 - 4 de 4

Some of the metrics are blocked by your
consent settings
DOI 10.1007/978-3-030-70316-5_152
Design and Implementation of a “Wireless-Hand” Mechatronic Prototype for the Control of a Robotic Hand
2022
Peña Jaramillo, Eduardo Ivan
;
Alberti Villalobos, Pedro Enrique
;
Bustamante, S.
;
Maldonado Cardenas, Patricia Veronica
;
Barría, P.
The technological transfer between the areas of computer engineering and health have allowed collaborative work and effective support between both areas. This is how the development of robotics in the present can aid in repetitive activities or activities that present a lesser degree of direct intervention with the patient in certain therapies. This paper presents the design, creation, and programming of a "Wireless-Hand" mechatronic prototype that allows for remote control of a robotic hand. For this, a glove with flex sensors and micro-controlled circuits was designed, which connects wirelessly with the robotic hand, allowing communication and control over it. For the connection to be optimal in terms of data transfer and connectivity, three types of technologies are compared: Zigbee, Bluetooth, and WiFi.
4
Some of the metrics are blocked by your
consent settings
DOI 10.1007/978-3-030-70316-5_151
Implementation of an Exoskeleton for Neuromuscular Hand Rehabilitation
2022
Troncoso, B.
;
Alberti Villalobos, Pedro Enrique
;
Maldonado Cardenas, Patricia Veronica
;
Peña Jaramillo, Eduardo Ivan
;
Barría, P.
This article shows the design, development, implementation, and control software associated with a hand exoskeleton capable of assisting in basic actions, such as opening and closing. Robotic architectures, geometric and kinematic analysis are reviewed, obtaining a proprietary design based on the biometrics of Chilean individuals. The exoskeleton meets basic clinical requirements, allowing work with ranges of movement in each finger with no pressure points in the skin or discomfort with use, being capable of adjusting to the thumb and adapting to any hand. The software created for training and rehabilitation, both for the therapist and the end-user, contains control of patient records, therapies, and a graphic interface that allows for personalized routines to be configured after calibration. The software allows rehabilitation specialists to be able to use the exoskeleton, after receiving a brief safety and basic function introduction, and thus be able to perform robotic therapies in any health center.
4
Some of the metrics are blocked by your
consent settings
DOI 10.1063/1.5044117
High Performance Implementation of Wolf's Method
2018
Alberti Villalobos, Pedro Enrique
;
Molina-Adasme, Sebastian
;
Maldonado Cardenas, Patricia Veronica
The method of Wolf, basically provides the calculation of the maximum exponent of Lyapunov by the evolution of the distance between two points closes from two nearby paths. This enables the quantification of the chaos through the sign of the exponent, is also an important tool as an indicator of the predictability of a time series. The algorithm presented by Alan Wolf is not very efficient because of a search performed by brute force, therefore, the execution times turn out to be very high, here is where lies the importance of the parallelization of this method. In the present work, two parallel implementations of the method of Wolf shared memory platforms, described the first using the API second based for GPU, and OpenMP using NVIDIA CUDA platform. The results obtained in terms of execution time decreased approximately above 90%, for all patients in study for parallel OpenMP program. In the case of the parallel program on GPU, achieved a decrease of runtimes between approximately 15% and 65% (depending on the case study), in comparison to the parallel OpenMP version; and even more, a considerable decrease of time in comparison to the sequential version.
Some of the metrics are blocked by your
consent settings
DOI 10.1063/1.5044117
High Performance Implementation of Wolf's Method
2018
Alberti Villalobos, Pedro Enrique
;
Molina-Adasme, Sebastian
;
Maldonado Cardenas, Patricia Veronica
The method of Wolf, basically provides the calculation of the maximum exponent of Lyapunov by the evolution of the distance between two points closes from two nearby paths. This enables the quantification of the chaos through the sign of the exponent, is also an important tool as an indicator of the predictability of a time series. The algorithm presented by Alan Wolf is not very efficient because of a search performed by brute force, therefore, the execution times turn out to be very high, here is where lies the importance of the parallelization of this method. In the present work, two parallel implementations of the method of Wolf shared memory platforms, described the first using the API second based for GPU, and OpenMP using NVIDIA CUDA platform. The results obtained in terms of execution time decreased approximately above 90%, for all patients in study for parallel OpenMP program. In the case of the parallel program on GPU, achieved a decrease of runtimes between approximately 15% and 65% (depending on the case study), in comparison to the parallel OpenMP version; and even more, a considerable decrease of time in comparison to the sequential version.
Scopus© Citations 1 3

Alberti Villalobos, Pedro Enrique

Buscar

Ajustes

Filtrar por:

Ajustes

Publicaciones