1. INTRODUCTION
One of the newest important research trends in these days about robotics is, without a doubt, Biomechatronics. This line is about robotics applications into the medicine, In fact, there are lots of Universities around the world developing projects in this area.
Well, from my point of view, two mains areas are oriented to, #Exoskeletots and #BCI's.. Currently, people around the world search the best way to build the most efficiently, robust, and economic prototype of exoskeleton, and, on the other hand, the advances onto Brain Computer Interfaces' performance are really amazing... and getting better.
Asia is, I'm pretty sure, the continent with more amazing advances in Exoskeletons, however, Europe and United States are getting really interesting results in BCI's.
In SouthAmérica, Brasil is who is investing more resources in these lines of research, and Colombia and Argentina, the next ones.
In Perú, there is no yet a strongh orientation to this area, however, there are isolated cases as PUCP, UNI, UNT and UdeP, who have begun some year before to develop interesting projects presented in national Congress and some Internationals.
Well, the aim of this project was born under the necessity of people who have pathologies of muscle weakness in their lower limbs, so, it's due as for neurological problems as for rehabilitation process after a traumatism or post operatory
This design search to cooperate with the lower limb movement rehabilitation process of the user/patient
Electromyography analysis and signal processing are essential parts of this project, so, we will be able to identify the movement that the patient/user wants to do.
Kinematics and dynamics analysis are been made powered by SimMechanics from Matlab and Solid Works
The controller is a PID with gravity compensation, It's a old algorithm, but is always efficient.
Furthermore, the Exoskeleton is able to use in some industrial aplications as packaging, building industry, mechanic maintenance, etc. Definitely, there is a world of applications related to human gait improvements.
2 comentarios:
Observo que han avanzado bastante en la simulación en matlab. Me llamó la atención lo relacionado con la captura de datos del paciente a partir de sensores y el respectivo procesamiento de la información en simulink. Me gustaría saber cuántas cámaras usaron y con qué utilidad del matlab tomaron la información. En general los felicito porque han desarrollado un proyecto bastante interesante.
Q tal Ing Cruz, disculpe la demora ... pero estuve en finales (Ya imaginara como estuvo la semana)
Con respecto a la captura de puntos por imagenes; pues usamos el toolbox de procesamiento de imagenes y video de MATLAB
( http://www.mathworks.com/products/viprocessing/ )
Le estoy mandando un archivo de imagen algo mas detallado de los bloques ...
En cuanto a los puntos ... son marcas circulares hechas con papel espumoso ( corrospun ) y de color ROJO .. que hacen contraste con el resto del entorno y posteriormente son filtrados.
La imagen es capturada desde una sola camara.
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