Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation

Costa-Garcia Alvaro, Shimoda Shingo

2024

Abstract

The analysis of biological data is an effective way to extract implicit information about the human physiological condition, representing the performance of daily tasks. The use of this information as feedback for robotic systems can contribute to a smoother transition into societies with a higher level of human-robot collaboration. Superficial electromyography (sEMG) could be a powerful ally in this field, as muscle activity serves as a window into our neural system and can be measured non-invasively with relative ease. In this work, our objective is to extract spectral features that enable the classification between isometric and isotonic muscle contractions. The switching between these types of contractions during human motion has been widely linked to various physical conditions, such as muscle pain, fall prediction, postural imbalances, and stress. To achieve this goal, we recorded muscle activity during both isometric and isotonic contractions under various conditions. We conducted a time-frequency analysis on the data collected from five lower limb muscles of four healthy subjects to extract significantly relevant features containing the necessary information to discriminate between these two types of muscle activations. Our results suggest that this discrimination can be achieved through the analysis of two spectral features: the median frequency and the power contained in the frequency range between 11 and 32 Hz. Furthermore, the inclusion of the peak frequency as a third feature also enables the detection of low-frequency motion artifacts.

Paper Citation

in Harvard Style

Alvaro C. and Shingo S. (2024). Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS; ISBN 978-989-758-688-0, SciTePress, pages 705-712. DOI: 10.5220/0012305000003657

in Bibtex Style

@conference{biosignals24,
author={Costa-Garcia Alvaro and Shimoda Shingo},
title={Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS},
year={2024},
pages={705-712},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012305000003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOSIGNALS
TI - Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation
SN - 978-989-758-688-0
AU - Alvaro C.
AU - Shingo S.
PY - 2024
SP - 705
EP - 712
DO - 10.5220/0012305000003657
PB - SciTePress