利用机器学习算法通过变异模式分解预测步态神经退行性疾病

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-08-12 DOI:10.1080/08839514.2024.2389375

P. Visvanathan, P.M. Durai Raj Vincent

引用次数: 0

摘要

脑细胞退化是神经退行性疾病的病因，会导致运动功能障碍。行走异常就是这种障碍的不良影响之一。由于传感器技术的不断发展和进步，目前已能对行走异常进行检测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms

Degeneration in brain cells is the cause of neurodegenerative illness, which cause motor function impairment. Anomaly in walking is one of this impairment’s adverse effects. Since sensor technologi...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.