The development of an low cost acquisition system of
S-EMG signals which are reliable, comfortable for the user and with
high mobility shows to be a relevant proposition in modern
biomedical engineering scenario. In the study, the sampling capacity
of the Arduino microcontroller Atmel Atmega328 with an A / D
converter with 10-bit resolution and its reconstructing capability of a
signal of surface electromyography is analyzed. An electronic circuit
to capture the signal through two differential channels was designed,
signals from Biceps Brachialis of a healthy man of 21 years was
acquired to test the system prototype. ARV, MDF, MNF and RMS
estimators were used to compare de acquired signals with
physiological values. The Arduino was configured with a sampling
frequency of 1.5kHz for each channel, and the tests with the circuit
designed offered a SNR of 20.57dB.
The development of an low cost acquisition system ofS-EMG signals which are reliable, comfortable for the user and withhigh mobility shows to be a relevant proposition in modernbiomedical engineering scenario. In the study, the sampling capacityof the Arduino microcontroller Atmel Atmega328 with an A / Dconverter with 10-bit resolution and its reconstructing capability of asignal of surface electromyography is analyzed. An electronic circuitto capture the signal through two differential channels was designed,signals from Biceps Brachialis of a healthy man of 21 years wasacquired to test the system prototype. ARV, MDF, MNF and RMSestimators were used to compare de acquired signals withphysiological values. The Arduino was configured with a samplingfrequency of 1.5kHz for each channel, and the tests with the circuitdesigned offered a SNR of 20.57dB.
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