A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning
Nana Wang, Xi Huang, Yi Rao, Jing Xiao, Jiahui Lu, Nian Wang, Li Cui
This paper proposes a machine learning method for non-invasive cervical spondylosis identification using sEMG data, achieving high accuracy and sensitivity.
Scientific Reports · Nov 21, 2018Peer-reviewedBioinformatics