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1.
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.
Article
in English
| MEDLINE | ID: mdl-36146348
2.
Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.
Curr Neurol Neurosci Rep
; 19(10): 80, 2019 09 04.
Article
in English
| MEDLINE | ID: mdl-31485896
3.
Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis.
IEEE Trans Neural Syst Rehabil Eng
; 32: 967-973, 2024.
Article
in English
| MEDLINE | ID: mdl-38373134
4.
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.
Article
in English
| MEDLINE | ID: mdl-37067975
5.
Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis.
PLOS Digit Health
; 1(10): e0000120, 2022 Oct.
Article
in English
| MEDLINE | ID: mdl-36812538
6.
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis.
IEEE J Biomed Health Inform
; 25(5): 1824-1831, 2021 05.
Article
in English
| MEDLINE | ID: mdl-32946403
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