Improving Generalized Regression Neural Networks with Black Widow Optimization Algorithm for Predicting Waist Muscle Strength

• Published in: IEEE sensors journal Vol. 24; no. 7; p. 1
• Main Authors: Cheng, Shuhong, Li, Xinyue, Zhang, Shijun, Liu, Fei, Wang, Hongbo, Xie, Ping, Fan, Xiaohua, Liu, Qingjiang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.04.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Clinical trials; Datasets; Electromyography; improving generalized regression neural networks; Lumbar region; Mathematical models; Muscle strength; Neural networks; Optimization; Parameters; Prediction models; Rehabilitation; surface electromyography; waist muscle strength prediction

As one of the indispensable and important clinical indicators, muscle strength provides an important judgment basis for the diagnosis and rehabilitation of patients with muscle injuries. At present, muscle strength prediction has been applied to rehabilitation equipment for the upper and lower extre...