A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis

Gait speed is a powerful clinical marker for mobility impairment in patients suffering from neurological disorders. However, assessment of gait speed in coordination with delivery of comprehensive care is usually constrained to clinical environments and is often limited due to mounting demands on th...

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Pubblicato in:PLoS One
Autori principali: McGinnis, Ryan S., Mahadevan, Nikhil, Moon, Yaejin, Seagers, Kirsten, Sheth, Nirav, Wright, John A., DiCristofaro, Steven, Silva, Ikaro, Jortberg, Elise, Ceruolo, Melissa, Pindado, Jesus A., Sosnoff, Jacob, Ghaffari, Roozbeh, Patel, Shyamal
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2017
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5453431/
https://ncbi.nlm.nih.gov/pubmed/28570570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0178366
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