Single-channel electromyography based on Arduino for analysis of the swing phase in normal gait

Rojas, Andres; Farfán, Ángel; Ayavaca, Maria; Cardenas, Veronica; Mora, Esteban; Wong, Sara; Minchala, Luis I.

doi:10.1109/intercon.2018.8526378

Cited by 3 publications

(1 citation statement)

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“…Ullah Khan et al [ 7 ] describe a MyoWare device whose bandwidth is not defined, not even on its own data sheet, as it is mostly used to obtain a rectified and filtered EMG signal for gaming purposes. Rojas et al [ 8 ] used the Olimex/Arduino duo for gait analysis, but no need for a large bandwidth was declared, as the signal was band-limited, rectified and filtered after acquisition. Rahman et al [ 9 ] described the development of biosignal acquisition shields for Arduino architectures, but they also band-limited the signal to 150 Hz.…”

Section: Introductionmentioning

confidence: 99%

Improved Multichannel Electromyograph Using Off-the-Shelf Components for Education and Research

Staderini¹,

Mugnaini

Kambampati

et al. 2022

Sensors

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Most students and researchers with limited funding are often looking for simple and low-cost devices for the acquisition of the electromyogram signal (EMG) in an educational or research setting. Thus, off-the-shelf devices are used and they have already been described in the literature, but they are used without considering their real performances, which are, in general, quite poor from the electronic and signal processing points of view. It is the purpose of this communication to present the evidence of these issues, and to describe an improved version of the “classical” duo, composed of the common ECG/EMG Olimex board and the Arduino microprocessor board. In this case, the Arduino-DUE is used. Three main points are highlighted in this paper: (a) the bandpass characteristics of the ECG/EMG Olimex board and how they can be improved to cope with EMG bandwidth requirements; (b) the increase in sampling frequency of the signal; and, finally, (c) the possibility of automatic detection of more ECG/EMG Olimex boards installed at the same time as the shields on the Arduino-DUE board. Very simple and low-cost modifications on the ECG/EMG Olimex board could deliver a much better performing multichannel EMG acquisition system, suitable for educational classroom experiments and early proof-of-concept research.

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Section: Introductionmentioning

confidence: 99%