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Correction published on 22 August 2014, see Sensors 2014, 14(8), 15639-15640.

Open AccessArticle
Sensors 2014, 14(5), 8235-8258; doi:10.3390/s140508235

Design, Development and Testing of a Low-Cost sEMG System and Its Use in Recording Muscle Activity in Human Gait

Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Laboratory of Biomechanics and Automatic Control Systems, R. Boskovica 32, Split 21000, Croatia
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Author to whom correspondence should be addressed.
Received: 19 February 2014 / Revised: 29 April 2014 / Accepted: 29 April 2014 / Published: 7 May 2014
(This article belongs to the Special Issue Biomedical Sensors and Systems)
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Abstract

Surface electromyography (sEMG) is an important measurement technique used in biomechanical, rehabilitation and sport environments. In this article the design, development and testing of a low-cost wearable sEMG system are described. The hardware architecture consists of a two-cascade small-sized bioamplifier with a total gain of 2,000 and band-pass of 3 to 500 Hz. The sampling frequency of the system is 1,000 Hz. Since real measured EMG signals are usually corrupted by various types of noises (motion artifacts, white noise and electromagnetic noise present at 50 Hz and higher harmonics), we have tested several denoising techniques, both on artificial and measured EMG signals. Results showed that a wavelet—based technique implementing Daubechies5 wavelet and soft sqtwolog thresholding is the most appropriate for EMG signals denoising. To test the system performance, EMG activities of six dominant muscles of ten healthy subjects during gait were measured (gluteus maximus, biceps femoris, sartorius, rectus femoris, tibialis anterior and medial gastrocnemius). The obtained EMG envelopes presented against the duration of gait cycle were compared favourably with the EMG data available in the literature, suggesting that the proposed system is suitable for a wide range of applications in biomechanics. View Full-Text
Keywords: surface electromyography (sEMG) signals; biomedical sensors; bioamplifier; artificial EMG signal; noise removal; wavelets; EMG signal envelope; muscle activity during human gait surface electromyography (sEMG) signals; biomedical sensors; bioamplifier; artificial EMG signal; noise removal; wavelets; EMG signal envelope; muscle activity during human gait
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Supuk, T.G.; Skelin, A.K.; Cic, M. Design, Development and Testing of a Low-Cost sEMG System and Its Use in Recording Muscle Activity in Human Gait. Sensors 2014, 14, 8235-8258.

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