[A deep learning-based method for rapid reconstruction and prediction of electromagnetic exposure in pacemaker patients]. [PDF]
Wei J, Tian R, Zhang R, Lu M.
europepmc +1 more source
在介绍小波包分解原理的基础上 ,对试验测得的单盘单跨转子系统的油膜振荡非平稳信号用小波包分解方法进行了研究。采用db44小波基函数进行 4层小波包分解。给出了各频带内分解信号的特点及频带能量比例 ,其中第 3频带是该转子系统在 960 0r/min时产生油膜振荡的特征频带 ...
闻邦椿 +3 more
core
[Comparison of Pulsatilla decoction formula granules versus its standard decoction for consistency of chemical components and bioequivalence in mice with ulcerative colitis]. [PDF]
Zhang J +9 more
europepmc +1 more source
[Multi-scale motor imagery electroencephalogram classification framework with dynamic weighted multi-source domain alignment]. [PDF]
Kong X, Zhang P, Chen J.
europepmc +1 more source
[Noninvasive nanosecond transcranial pulsed electric fields: deep-penetrating, high-field stimulation for suppressing hippocampal amyloid-β and improving cognitive function in an Alzheimer's disease model]. [PDF]
Chen Y, Yao C, Yan F, Xiao P, Lu X.
europepmc +1 more source
Method for extracting wavelet characteristic based on blur wavelet bag disintegrating
本发明属于信号处理和模式识别技术,具体公开一种基于模糊小波包分解的小波特征提取方法,取平稳信号或非平稳信号为信号样本,包括对已标明类别的信号样本的训练过程和新未知类别的信号样本的特征提取过程,以训练过程为主体;即通过训练过程找最优小波分解Ω*;以最优小波分解Ω*为基础,提取鉴别能力强的小波系数特征;在新未知类别样本的特征提取过程中提取已定位的小波系数作为最终特征。采用本发明对平稳或非平稳信号(包括剧烈变化信号)进行处理,提取出鉴别力强的小波系数特征,使同类信号的类内距尽量小 ...
史泽林, 李德强
core
[Personalized lower-limb gait assessment method based on musculoskeletal modeling and machine learning]. [PDF]
Zeng D +5 more
europepmc +1 more source
[A simulation study of photothermal effects in transcranial photobiomodulation]. [PDF]
Liu X +6 more
europepmc +1 more source
[Establishing reference ranges for right ventricular functional parameters on neonatal echocardiography: a multicenter, prospective observational study]. [PDF]
Dong WH +6 more
europepmc +1 more source
[Clinical analysis of nusinersen for spinal muscular atrophy types 2 and 3 in children]. [PDF]
Duan HL +6 more
europepmc +1 more source

