Arduino ve LabVIEW Kullanarak EMG Verilerinden Eşik Seviye Belirleme ile Motor Kontrol Düzeneği Tasarımı.

Electromyography (EMG) signal analysis in biomedical signals is a popular field of research and it is very important for rehabilitation design systems. The methods used in this study are as follows; i) nerve stimulation of the skeletal muscle over the human to obtain EMG data of real-time hand fingers, ii) determination of hand opening and closing movements threshold levels from obtained EMG signals by histogram method and iii) real time DC motor controls via Arduino using threshold voltage level. This study provided the preparation of the rehabilitation system with an Arduino-based circuit using specified threshold voltages. Real-time EMG data was acquired with the QNET02697-MYOELECTRIC training kit and the graphical user interface of the system was designed with the LabVIEW program. Thus, contribution to the research and education infrastructure for the rehabilitation systems might be established. [ABSTRACT FROM AUTHOR]