Research on Optimization of Neuromuscular Rehabilitation Program Based on Physiological Assessment

Authors

  • Yihao Wang School of Medicine, Washington University in St. Louis, Missouri, 63108, USA Author

DOI:

https://doi.org/10.71222/b2hwa691

Keywords:

neuromuscular function, physiological evaluation, multimodal fusion

Abstract

This study focuses on the rehabilitation of neuromuscular dysfunction and explores the key role of physiological assessment in the design of rehabilitation plans. And analyzed the current problems of fragmented evaluation methods, weak functional correlation of indicators, and unclear results transformation pathways from the characteristics of physiological parameters such as surface electromyography (sEMG), near-infrared spectroscopy (NIRS), and heart rate variability (HRV). At present, it is necessary to establish a multimodal fusion evaluation system, strengthen functional oriented modeling thinking, and establish a standard mapping mechanism between physiological indicators and intervention prescriptions. In order to achieve personalized rehabilitation pathways for physiological data, promote the scientific and accurate nature of neuromuscular rehabilitation, and provide theoretical and practical references for sports rehabilitation and physical therapy.

References

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2. A. Verschueren, C. Palminha, E. Delmont, and S. Attarian, "Changes in neuromuscular function in elders: Novel techniques for assessment of motor unit loss and motor unit remodeling with aging," Revue Neurologique, vol. 178, no. 8, pp. 780-787, 2022. doi: 10.1016/j.neurol.2022.03.019

3. Y. M. Dutra, J. P. F. Lopes, J. M. Murias, and A. M. Zagatto, "Within-and between-day reliability and repeatability of neuromuscular function assessment in females and males," Journal of Applied Physiology, vol. 135, no. 6, pp. 1372-1383, 2023.

4. P. J. Atherton, and D. J. Wilkinson, "Neuromuscular Assessments of Form and Function," Humana Press, 2023.

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Published

12 January 2026

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Article

How to Cite

Wang, Y. (2026). Research on Optimization of Neuromuscular Rehabilitation Program Based on Physiological Assessment. European Journal of AI, Computing & Informatics, 2(1), 21-30. https://doi.org/10.71222/b2hwa691