Conservative Treatment and Rehabilitation Training for Rectus Femoris Tear in Basketball Training Based on Computer Vision

• Published in: Applied bionics and biomechanics Vol. 2022; pp. 1 - 12
• Main Authors: Zhang, Yupeng, Zhao, Gaowei
• Format: Journal Article
• Language: English
• Published: Egypt Hindawi 05.05.2022; John Wiley & Sons, Inc; Wiley
• Subjects: Acupuncture; Algorithms; Artificial intelligence; Basketball; Chemical industry; Computer vision; Computers; Data processing; Electronic packaging; Equipment and supplies; Food industry; Image processing; Information processing; Interdisciplinary subjects; Kalman filters; Machine learning; Machine vision; Medical imaging equipment; Methods; Muscle strength; Nondestructive testing; Pattern recognition; Process management; Product design; Recovery time; Rehabilitation; Signal processing; Sports injuries; Sports training; Technology; Training; Vision systems; China
• ISSN: 1176-2322; 1754-2103
• DOI: 10.1155/2022/6230025

Computer vision is an emerging artificial intelligence subject, whose purpose is to make computers have the same ability to perceive and understand image semantic information as humans. Computer vision technology is based on high-performance computers, which can obtain massive amounts of information and data in a short period of time and use intelligent algorithms to perform high-speed data processing on the information, which is conducive to the integration of information related to product design, production process management, etc. Due to the rapid development of visual sensing technology, computer technology, and image processing technology, computer vision technology has been widely used in the fields of food, medicine, construction, chemical industry, electronics, packaging, and automobiles. This article uses computer vision technology to compare four conservative treatments and rehabilitation training for rectus femoris in basketball training and analyze the best rehabilitation treatment for rectus femoris tear. The experimental results show that the average electroacupuncture plus muscle stretching exercise group after treatment has an average EMG value of 55.49, an average muscle strength rating of five, an average motor function score of 23.45, and an average treatment recovery time of 11.6 days. This group has the best treatment effect.