Year: 2024
Type: article
Abstract: In sports training, athletes often cause knee injury due to excessive exercise or inappropriate exercise habits, which increases inconvenience to the training life of athletes. In order to avoid the occurrence of knee injury, this article designed a knee joint injury warning system based on the neural network algorithm, which was used in the process of preventing athletes’ movement damage and concluded. In the survey of pain scores, the measures for preventing athletes’ knee damage in this article really played a role in alleviating the athlete’s knee pain. In unstable scoring, the anxiety score of athletes has greatly improved after taking measures. In the survey of the lock -up score, the athletes’ atresia feel was stable within 21 or above after taking measures. The athletes’ swelling scores increased after taking measures. Athletes 6, 9, 13, 14, and 15 have reached full scores.
Author: Haolun Xu
Institution: Nanchong Vocational and Technical College
Language: English
Subfield: Orthopedics and Sports Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4403746178