Title :
Processing stabilometric data for electronic knee: Training and calibration
Author :
Lay-Ekuakille, Aime ; Trotta, Amerigo
Author_Institution :
Dipt. d´´Ing. dell´´Innovazione, Univ. of Salento, Lecce, Italy
Abstract :
Electronic knee is new opportunity for people having one or two amputated legs. Differently from traditional prosthesis, electronic knee is the first one to be driven by a microprocessor with an hydraulic control for the static and dynamic steps. It is become a positive key issue for the comfort and movement freedom for transfemoral amputed people. Despite the use of microprocessor, many difficulties arise during connection on human being and from calibration. This paper presents a technique of predicting calibration operations and stabilometric measurements in order to allow a better connection between electronic knee and the amputated patient. The technique is based on a novel genetic doped algorithm capable of producing the postural positions and correct calibration.
Keywords :
hydraulic control equipment; microprocessor chips; prosthetics; calibration operations; electronic knee; genetic doped algorithm; hydraulic control; microprocessor; stabilometric data processing; transfemoral amputed people; Biological cells; Biomedical measurements; Calibration; Design optimization; Genetic algorithms; Knee; Leg; Legged locomotion; Microprocessors; Wheels; biomedical instrumentation; electronic knee calibration; genetic algorithm; stabilometry;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2832-8
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2010.5488104