Detalhe da pesquisa
1.
Identifying predictors for postoperative clinical outcome in lumbar spinal stenosis patients using smart-shoe technology.
J Neuroeng Rehabil
; 14(1): 77, 2017 07 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-28720144
2.
Utilization of a novel digital measurement tool for quantitative assessment of upper extremity motor dexterity: a controlled pilot study.
J Neuroeng Rehabil
; 11: 121, 2014 Aug 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-25117936
3.
Objectively quantifying walking ability in degenerative spinal disorder patients using sensor equipped smart shoes.
Med Eng Phys
; 38(5): 442-9, 2016 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-26970892
4.
A Prediction Model for Functional Outcomes in Spinal Cord Disorder Patients Using Gaussian Process Regression.
IEEE J Biomed Health Inform
; 20(1): 91-9, 2016 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-25423659
5.
Quantitative assessment of hand motor function in cervical spinal disorder patients using target tracking tests.
J Rehabil Res Dev
; 53(6): 1007-1022, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-28475202
6.
Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy.
J Clin Neurosci
; 22(9): 1444-9, 2015 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-26115898