Mortez: Mobile application supported orthose system design

It is known that the use of orthoses is important in accelerating the treatment process in cases of musculoskeletal system disorders or injuries in the body. According to their use, orhtoses are called to as static and dynamic orthoses. In dynamic orthoses, movements of people are detected using Electromyography (EMG) signals. In addition, various sensors are used to measure data such as position and voltage. For the correct detection of the movement, it is necessary to minimize the noise in the EMG signals. In this thesis, the goal is to filter raw EMG signals in real-time using an ARM-based microcontroller, transfer the filtered output signal and encoder sensor information to a portable device using a bluetooth module. Mobile Application Supported Orthosis (MORTEZ) application has been designed for reading and evaluating EMG signals and angle information on a portable device. In addition, the EMG signals and sensor information transferred to the portable device can be recorded using the MORTEZ application.The filter type, cutoff frequency and degree used in orthotic systems are important for the correct detection of movement. In the selection of the filter to be used, the performances of the different filters on the microcontroller were compared in real-time and it was seen that the IIR filter was much more advantageous in terms of time. An 8th degree 20-350 Hz band-pass IIR filter was used with the integration of the DSP library into the microcontroller. The filter output signals obtained using the microcontroller and the MATLAB program were compared and a high level of accuracy was achieved. A dynamic graphics was designed using TouchGFX, a graphical user interface optimized for STM32. The raw and filtered EMG signals obtained on the microcontroller and the encoder angle information are displayed on the 4.3" LCD-TFT screen on the development board. The STM32CubeIDE program was also used to configure the microcontroller's peripherals and implement real-time operating system. Using the peripherals of the microcontroller, driving the screen on the development board and all filtering calculations are provided by a real-time operating system called FreeRTOS. An orthosis system that can read and filter the single-channel EMG signal in real-time on the microcontroller, transfer all obtained data wirelessly to a portable device, and record and display data through the MORTEZ application has been suggested.