Detalhe da pesquisa
1.
Characterization of thigh and shank segment angular velocity during jump landing tasks commonly used to evaluate risk for ACL injury.
J Biomech Eng
; 134(9): 091006, 2012 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-22938373
2.
Identifying and characterising sources of variability in digital outcome measures in Parkinson's disease.
NPJ Digit Med
; 5(1): 93, 2022 Jul 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-35840653
3.
A wearable system to assess risk for anterior cruciate ligament injury during jump landing: measurements of temporal events, jump height, and sagittal plane kinematics.
J Biomech Eng
; 133(7): 071008, 2011 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-21823747
4.
Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint.
Digit Biomark
; 5(1): 53-64, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33977218
5.
A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the Remote Early Detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.
Trials
; 22(1): 694, 2021 Oct 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-34635140
6.
A prospective, randomized, single-blinded, crossover trial to investigate the effect of a wearable device in addition to a daily symptom diary for the remote early detection of SARS-CoV-2 infections (COVID-RED): a structured summary of a study protocol for a randomized controlled trial.
Trials
; 22(1): 412, 2021 Jun 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-34158099
7.
Gait modification via verbal instruction and an active feedback system to reduce peak knee adduction moment.
J Biomech Eng
; 132(7): 071007, 2010 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-20590285
8.
Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs).
NPJ Digit Med
; 3: 55, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32337371
9.
Precompetitive Consensus Building to Facilitate the Use of Digital Health Technologies to Support Parkinson Disease Drug Development through Regulatory Science.
Digit Biomark
; 4(Suppl 1): 28-49, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-33442579
10.
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.
Artigo
em Inglês
| MEDLINE | ID: mdl-29795772
11.
Telehealth monitor to measure physical activity and pressure relief maneuver performance in wheelchair users.
Assist Technol
; 29(4): 202-209, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-27687753
12.
Modification of Knee Flexion Angle Has Patient-Specific Effects on Anterior Cruciate Ligament Injury Risk Factors During Jump Landing.
Am J Sports Med
; 44(6): 1540-6, 2016 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-26983457
13.
Wearable Sensors in Huntington Disease: A Pilot Study.
J Huntingtons Dis
; 5(2): 199-206, 2016 06 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-27341134
14.
Optimization of the anterior cruciate ligament injury prevention paradigm: novel feedback techniques to enhance motor learning and reduce injury risk.
J Orthop Sports Phys Ther
; 45(3): 170-82, 2015 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-25627151
15.
An Adaptive Home-Use Robotic Rehabilitation System for the Upper Body.
IEEE J Transl Eng Health Med
; 2: 2100310, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-27170877
16.
Inertial sensor-based feedback can reduce key risk metrics for anterior cruciate ligament injury during jump landings.
Am J Sports Med
; 40(5): 1075-83, 2012 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-22459239
17.
Shoe-surface friction influences movement strategies during a sidestep cutting task: implications for anterior cruciate ligament injury risk.
Am J Sports Med
; 38(3): 478-85, 2010 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-20194954