Tesis
Desarrollo de un sistema de adquisición y procesamiento de señales electromiográficas con Matlab para la identificación de los movimientos extensión, flexión, pronación y supinación de un brazo humano.
Fecha
2017-10Registro en:
Zabala Aguiar, Luis Alberto. (2017). Desarrollo de un sistema de adquisición y procesamiento de señales electromiográficas con Matlab para la identificación de los movimientos extensión, flexión, pronación y supinación de un brazo humano. Escuela Superior Politécnica de Chimborazo. Riobamba.
Autor
Zabala Aguiar, Luis Alberto
Resumen
The objective was to develop a system for acquiring and processing electromyographic
signals with Matlab for the identification of the extension, flexion, pronation and
supination movements of the human arm. It was started with determination of the digital
processing technique based on the theoretical basis, after which it was designed and
integrated the hardware for the acquisition and processing of the signals and finally the
software was programmed in Matlab to show the results through of a message and a graph
in real time.
The system is composed of an electromyographic sensor plus an accelerometer which
send the readings to an Arduino board, this in turn sends this information via wireless
communication to the computer. The signals are processed in Matlab for a group of
samples and the result is indicated by a graph as the case maybe. The device has been
validated with a group of people and indicates that its probability of success is greater
than 96%. In addition, the chi-square statistical analysis gives an index of 7.8 and the
planned hypothesis is accepted. The integrated device works correctly for the 4 raised
positions, with a limited distance due to the transmitter antenna. However, the response
is displayed in real time. It is necessary to place the electromyographic sensor correctly
in the arm and have the power supply charged to avoid erroneous data.