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

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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Bibliographic Details
Main Authors: Ryan S McGinnis, Nikhil Mahadevan, Yaejin Moon, Kirsten Seagers, Nirav Sheth, John A Wright, Steven DiCristofaro, Ikaro Silva, Elise Jortberg, Melissa Ceruolo, Jesus A Pindado, Jacob Sosnoff, Roozbeh Ghaffari, Shyamal Patel
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5453431?pdf=render

Internet

http://europepmc.org/articles/PMC5453431?pdf=render

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