Návrh EMG zesilovače

Abstract

Design and implementation of EMG amplifier for myopotential surface measurements Electromyographic (EMG) signals are frequently used as a rehabilitation control signal and diagnostic tool in the medical field. It has so far been challenging to develop a better amplification and filtering circuit design that can perfectly capture the characteristics of surface EMG signals for the intended applications. This thesis focuses on designing and implementing an EMG amplifier for myopotential surface measurements. The hardware and software components were integrated into a custom printed circuit board (PCB). It is a shield that collects the EMG signal from the human skeletal muscles, amplifies it, filters it, and outputs it to the Arduino's analog pin. The input signals are amplified with a precision instrumentation amplifier INA122, with a CMRR of 100dB. The signal pre-processing uses the right leg drive and special low pass filters to reduce the acquisition system's common mode (CM) voltage and other noise sources. The analog EMG signal from the PCB output was digitized using a 10-bit ADC of the Arduino Uno. The digitized signal was transmitted by serial cable using the Arduino codes to a PC. The result was a completely functional EMG device. These results were similar across tests and could be linked easily to muscle action and force. This EMG device may still have 50 Hz common mode noise, which could have been caused by its wide bandwidth and poor low-frequency qualities.

Design and implementation of EMG amplifier for myopotential surface measurements Electromyographic (EMG) signals are frequently used as a rehabilitation control signal and diagnostic tool in the medical field. It has so far been challenging to develop a better amplification and filtering circuit design that can perfectly capture the characteristics of surface EMG signals for the intended applications. This thesis focuses on designing and implementing an EMG amplifier for myopotential surface measurements. The hardware and software components were integrated into a custom printed circuit board (PCB). It is a shield that collects the EMG signal from the human skeletal muscles, amplifies it, filters it, and outputs it to the Arduino's analog pin. The input signals are amplified with a precision instrumentation amplifier INA122, with a CMRR of 100dB. The signal pre-processing uses the right leg drive and special low pass filters to reduce the acquisition system's common mode (CM) voltage and other noise sources. The analog EMG signal from the PCB output was digitized using a 10-bit ADC of the Arduino Uno. The digitized signal was transmitted by serial cable using the Arduino codes to a PC. The result was a completely functional EMG device. These results were similar across tests and could be linked easily to muscle action and force. This EMG device may still have 50 Hz common mode noise, which could have been caused by its wide bandwidth and poor low-frequency qualities.