Detalhe da pesquisa
1.
Validity and reliability study of a novel surface electromyography sensor using a well-consolidated electromyography system in individuals with cervical spinal cord injury.
Spinal Cord
; 2024 Apr 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38575740
2.
How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway.
Sensors (Basel)
; 22(18)2022 Sep 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-36146348
3.
Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis.
IEEE Trans Neural Syst Rehabil Eng
; 32: 967-973, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-38373134
4.
Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis.
IEEE Trans Neural Syst Rehabil Eng
; 31: 2279-2286, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37115839
5.
Chest-Based Wearables and Individualized Distributions for Assessing Postural Sway in Persons With Multiple Sclerosis.
IEEE Trans Neural Syst Rehabil Eng
; 31: 2132-2139, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37067975
6.
A Pivotal Study to Validate the Performance of a Novel Wearable Sensor and System for Biometric Monitoring in Clinical and Remote Environments.
Digit Biomark
; 3(1): 1-13, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-32095764
7.
A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis.
PLoS One
; 12(6): e0178366, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28570570
8.
Skin mounted accelerometer system for measuring knee range of motion.
Annu Int Conf IEEE Eng Med Biol Soc
; 2016: 5298-5302, 2016 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-28269456
9.
A wearable computing platform for developing cloud-based machine learning models for health monitoring applications.
Annu Int Conf IEEE Eng Med Biol Soc
; 2016: 5997-6001, 2016 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-28269619