Abstract
In order to provide a more scientific rehabilitation training plan for patients with lower limb paralysis caused by illness or accidents when they train independently or at home, a lower limb rehabilitation training system with myoelectric assessment was hereby designed to improve the therapeutic effect and to reduce the difficulty of nursing care. The collected electromyographic signals of the target muscle surface after homogenization and standardization were used as the evaluation standard, and suitable training plans were given for different muscle functional states of different patients, which were combined with the mobile terminal to realize the visualization of data and training guidance. According to the repeated experiments, the accuracy of the judgment of the functional status of the target muscle of the patient could reach more than 85% without resistance, and the judgment accuracy was increased to more than 92% after adding resistance appropriately. The design can directly feedback and guide rehabilitation training through EMG and visual interface, which will further improve the effectiveness and convenience of training for patients with lower limb dysfunction.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Nerveana (2020) EMG monitoring kits. Biomed Saf Stand 50(19):149–150
Ekblom M, Eriksson M (2012) Concurrent EMG feedback acutely improves strength and muscle activation. Eur J Appl Physiol 112:1899–1905
Wang J, Wang J (2015) Applications of sEMG in clinical diagnosis and evaluations, 978th-7th-308th-15378th-2nd edn. Zhejiang University Press
Acknowledgements
This work was supported in part by Tianjin Municipal Education Commission Scientific Research Program Project (2022ZD009, 2022ZD035, 2022ZD036, 2021KJ011) and Central Government Guided Local Science and Technology Development Funds Project Plan (22ZYCGSN00480).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Qin, Z., Tao, X., Guo, T., Sun, W., Zhao, Z. (2024). Design and Development of a Lower Extremity Rehabilitation Training System for Myoelectric Assessment. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1033. Springer, Singapore. https://doi.org/10.1007/978-981-99-7502-0_59
Download citation
DOI: https://doi.org/10.1007/978-981-99-7502-0_59
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-7555-6
Online ISBN: 978-981-99-7502-0
eBook Packages: EngineeringEngineering (R0)