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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.
Artículo
en Inglés
| 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.
Artículo
en Inglés
| MEDLINE | ID: mdl-25117936
3.
A Digital Intervention to Promote Self-Management Self-Efficacy Among Community-Dwelling Individuals With Stroke: Pilot Randomized Controlled Trial.
JMIR Rehabil Assist Technol
; 11: e50863, 2024 Feb 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-38373029
4.
Using Intervention Mapping and Behavior Change Techniques to Develop a Digital Intervention for Self-Management in Stroke: Development Study.
JMIR Hum Factors
; 10: e45099, 2023 Jul 24.
Artículo
en Inglés
| MEDLINE | ID: mdl-37486748
5.
Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors.
IEEE Trans Biomed Eng
; 68(6): 1871-1881, 2021 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-32997621
6.
Enabling precision rehabilitation interventions using wearable sensors and machine learning to track motor recovery.
NPJ Digit Med
; 3: 121, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33024831
7.
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?
IEEE Open J Eng Med Biol
; 1: 243-248, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-34192282
8.
Enabling Stroke Rehabilitation in Home and Community Settings: A Wearable Sensor-Based Approach for Upper-Limb Motor Training.
IEEE J Transl Eng Health Med
; 6: 2100411, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-29795772
9.
Unobtrusive and Continuous Monitoring of Alcohol-impaired Gait Using Smart Shoes.
Methods Inf Med
; 56(1): 74-82, 2017 Jan 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-27782289
10.
Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment.
Annu Int Conf IEEE Eng Med Biol Soc
; 2016: 655-658, 2016 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-28268413
11.
Quantitative assessment of hand motor function in cervical spinal disorder patients using target tracking tests.
J Rehabil Res Dev
; 53(6): 1007-1022, 2016.
Artículo
en Inglés
| MEDLINE | ID: mdl-28475202
12.
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.
Artículo
en Inglés
| MEDLINE | ID: mdl-26115898
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