Efficient Subject-Independent Detection of Anterior Cruciate Ligament Deficiency Based on Marine Predator Algorithm and Support Vector Machine

• Published in: IEEE journal of biomedical and health informatics Vol. 26; no. 10; pp. 4936 - 4947
• Main Authors: Wang, Gengyuan, Zeng, Xiaolong, Lai, Guanquan, Zhong, Guoqing, Ma, Ke, Zhang, Yu
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Anterior cruciate ligament; Anterior cruciate ligament (ACL) deficiency; Classification; Classification algorithms; Feature extraction; feature selection and classification; Frequency domain analysis; Gait; gait kinematic data; Health risks; Heuristic methods; Kinematics; Knee; Ligaments; marine predator algorithm (MPA); Medical diagnosis; Medical diagnostic imaging; Nonlinear systems; Optimization; Predators; Sensitivity; support vector machine (SVM); Support vector machines

Anterior cruciate ligament (ACL) deficiency not only reduces knee stability, but also increases the risk of more disease and impairs daily life, thus requiring efficient detection of ACL deficiency. To build an efficient subject-independent ACL deficiency detection model, this study proposes a new m...