@inproceedings{0ad75d91a8fd4e0aab505b2dc35a70e9,
title = "Single-channel electromyography based on Arduino for analysis of the swing phase in normal gait",
abstract = "This paper presents a thorough evaluation of a single-channel electromyography (EMG) signal acquisition board based on Arduino technology to characterize the swing phase of normal gait. A total register of 231 EMG signals corresponding to 11 lower limb muscles (7 right and 4 left) of 21 subjects was generated. For each record, the subject made a coordinated paused walk based on a sequence of audible tones to indicate each step. The maximum amplitude (MA) defined as the maximum value of the amplitude of the rectified and smoothed EMG signal corresponding to each of the swing sub-phases (initial, mid and terminal) were compared for the left and right limbs. The MA between swing sub-phases were also examined. Results show that the amplitudes obtained in each swing sub-phase of the gait records are coherent with the normal swing phase. These findings allow to recommend the use of the EMG acquisition prototype for studies addressed to the detection of motion intention.",
keywords = "EMG, lower limbs, motion intention, swing phase",
author = "Andres Rojas and Angel Farfan and Maria Ayavaca and Veronica Cardenas and Esteban Mora and Sara Wong and Minchala, \{Luis I.\}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 25th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018 ; Conference date: 08-08-2018 Through 10-08-2018",
year = "2018",
month = nov,
day = "6",
doi = "10.1109/INTERCON.2018.8526378",
language = "Ingl{\'e}s",
series = "Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the 2018 IEEE 25th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2018",
}