Detalles de la búsqueda
1.
Direct Current Stimulation of Prefrontal Cortex Is Not Effective in Progressive Supranuclear Palsy: A Randomized Trial.
Mov Disord
; 39(6): 1043-1048, 2024 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-38468604
2.
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy.
Sensors (Basel)
; 23(24)2023 Dec 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-38139705
3.
Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning.
Sensors (Basel)
; 21(8)2021 Apr 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-33917206
4.
A multiple linear regression approach to extimate lifted load from features extracted from inertial data.
G Ital Med Lav Ergon
; 43(4): 373-378, 2021 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-35049162
5.
Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment.
Sensors (Basel)
; 20(22)2020 Nov 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-33238448
6.
Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors.
Diagnostics (Basel)
; 14(6)2024 Mar 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-38535000
7.
Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review.
Comput Methods Programs Biomed
; 240: 107681, 2023 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-37385142
8.
Gait asymmetry in stroke patients with unilateral spatial neglect.
Med Biol Eng Comput
; 61(3): 651-659, 2023 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-36577925
9.
sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings.
Bioengineering (Basel)
; 10(9)2023 Sep 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-37760205
10.
A General Approach for the Modelling of Negative Feedback Physiological Control Systems.
Bioengineering (Basel)
; 10(7)2023 Jul 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-37508862
11.
Using Features Extracted from Upper Limb Reaching Tasks to Detect Parkinson's Disease by means of Machine Learning Models.
IEEE Trans Neural Syst Rehabil Eng
; PP2023 Jan 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-37021918
12.
A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks.
Diagnostics (Basel)
; 12(11)2022 Oct 29.
Artículo
en Inglés
| MEDLINE | ID: mdl-36359468
13.
Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature.
Diagnostics (Basel)
; 12(12)2022 Dec 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-36553054
14.
Mild Cognitive Impairment Subtypes Are Associated With Peculiar Gait Patterns in Parkinson's Disease.
Front Aging Neurosci
; 14: 781480, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35299943
15.
Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea).
Sci Rep
; 12(1): 8996, 2022 05 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-35637235
16.
Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning.
Math Biosci Eng
; 18(5): 6995-7009, 2021 08 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-34517568
17.
The E-Textile for Biomedical Applications: A Systematic Review of Literature.
Diagnostics (Basel)
; 11(12)2021 Dec 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-34943500
18.
Machine Learning Approaches in Parkinson's Disease.
Curr Med Chem
; 28(32): 6548-6568, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-33430721
19.
Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA Classes.
Bioengineering (Basel)
; 8(10)2021 Oct 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-34677211
20.
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset.
J Imaging
; 7(10)2021 Oct 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-34677301