Detalhe da pesquisa
1.
Peripheral neuropathy in Parkinson's disease: prevalence and functional impact on gait and balance.
Brain
; 146(1): 225-236, 2023 01 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-35088837
2.
Vertical locomotion improves horizontal locomotion: effects of climbing on gait and other mobility aspects in Parkinson's disease. A secondary analysis from a randomized controlled trial.
J Neuroeng Rehabil
; 21(1): 63, 2024 Apr 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-38678241
3.
Current Knowledge about ActiGraph GT9X Link Activity Monitor Accuracy and Validity in Measuring Steps and Energy Expenditure: A Systematic Review.
Sensors (Basel)
; 24(3)2024 Jan 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-38339541
4.
Listening to the patients' voice: a conceptual framework of the walking experience.
Age Ageing
; 52(1)2023 01 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-36729471
5.
Turning When Using Smartphone in Persons With and Those Without Neurologic Conditions: Observational Study.
J Med Internet Res
; 25: e41082, 2023 03 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-36995756
6.
Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.
J Neuroeng Rehabil
; 20(1): 78, 2023 06 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-37316858
7.
Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators.
Sensors (Basel)
; 23(7)2023 Mar 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-37050654
8.
Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson's Disease through a Commercial Smartwatch.
Sensors (Basel)
; 23(21)2023 Nov 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-37960670
9.
Design and validation of a multi-task, multi-context protocol for real-world gait simulation.
J Neuroeng Rehabil
; 19(1): 141, 2022 12 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-36522646
10.
Objective Measurement of Walking Activity Using Wearable Technologies in People with Parkinson Disease: A Systematic Review.
Sensors (Basel)
; 22(12)2022 Jun 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-35746329
11.
A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.
Sensors (Basel)
; 22(10)2022 May 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-35632266
12.
Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor.
Sensors (Basel)
; 22(21)2022 Oct 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-36366038
13.
Reliability of IMU-Derived Temporal Gait Parameters in Neurological Diseases.
Sensors (Basel)
; 22(6)2022 Mar 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-35336475
14.
Step-Counting Accuracy of a Commercial Smartwatch in Mild-to-Moderate PD Patients and Effect of Spatiotemporal Gait Parameters, Laterality of Symptoms, Pharmacological State, and Clinical Variables.
Sensors (Basel)
; 23(1)2022 Dec 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-36616812
15.
Short-term physical exercise impacts on the human holobiont obtained by a randomised intervention study.
BMC Microbiol
; 21(1): 162, 2021 06 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34078289
16.
Cerebellar rTMS in PSP: a Double-Blind Sham-Controlled Study Using Mobile Health Technology.
Cerebellum
; 20(4): 662-666, 2021 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-33544370
17.
Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson's Disease patients.
J Neuroeng Rehabil
; 18(1): 28, 2021 02 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-33549105
18.
Active Magnetoelectric Motion Sensing: Examining Performance Metrics with an Experimental Setup.
Sensors (Basel)
; 21(23)2021 Nov 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-34884009
19.
Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson's Disease.
Sensors (Basel)
; 21(12)2021 Jun 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-34207565
20.
A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems.
Sensors (Basel)
; 21(24)2021 Dec 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-34960317