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Online ISSN: 0976-8998

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Verification Analysis of Lower Limb Rehabilitation Based on Data Mining For Muscle Strain Identification

Zhou Hongyan
Taylor's University Subang Jaya Malaysia

Abstract: Muscle strain is a common sports injury that significantly impacts patients' lives and work. Early detection and intervention of muscle strain are significant for preventing and treating muscle strain. However, traditional medical diagnostic methods often have certain limitations and cannot meet the needs of large-scale, fast, and accurate diagnosis. Therefore, this study aims to use data mining technology to identify muscle strain and combine it with lower limb rehabilitation technology to provide new means for early detection and intervention of muscle strain. This article studies the validation analysis of lower limb rehabilitation for muscle strain recognition based on data mining. The feasibility and effectiveness of this method were verified by collecting patient motion data, using data mining technology to identify muscle strain, and combining it with lower limb rehabilitation technology.

Keywords: Data Mining Algorithm, Anatomic Information, EMG Signal, Identification Verification Analysis of Lower Limb Rehabilitation Based on Data Mining For Muscle Strain Identification

DOI:https://doi.org/10.6025/jitr/2023/14/4/87-94

Full_Text PDF 1.60 MB Download: 26 times

References:

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