Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Monitoring gait in multiple sclerosis with novel wearable motion sensors
Yaejin Moon
, Ryan S. McGinnis
, Kirsten Seagers
, Robert W. Motl
, Nirav Sheth
, John A. Wright
, Roozbeh Ghaffari
, Jacob J. Sosnoff
Health and Kinesiology
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Monitoring gait in multiple sclerosis with novel wearable motion sensors'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Gait
100%
Multiple Sclerosis
100%
Wearable Motion Sensors
100%
Number of Steps
57%
Relative Error
42%
Gait Characteristics
42%
Disability Status
28%
Temporal Parameters
28%
Inertial Sensors
28%
Walking Impairment
28%
Wireless
14%
Measurement Device
14%
Error Variance
14%
Shank
14%
Visual Inspection
14%
Control Subjects
14%
Step Time
14%
Gait Parameters
14%
Gait Kinematics
14%
Healthy Controls
14%
Walk Test
14%
Precision Accuracy
14%
Activity Monitoring
14%
Stride Time
14%
Spatiotemporal Gait Parameters
14%
Actigraph
14%
Accuracy Error
14%
Swing Time
14%
Xsens
14%
Skin-conformal
14%
Shank Angular Velocity
14%
Relative Metrics
14%
Remote Settings
14%
Mobility Impairment
14%
Nursing and Health Professions
Multiple Sclerosis
100%
Wearables
100%
Step Count
57%
Accelerometer
28%
Analysis of Variance
14%
Walk Test
14%
Actigraph
14%
Step Time
14%
Stride Time
14%
Activity Monitor
14%
Medicine and Dentistry
Multiple Sclerosis
100%
Gait
100%
Analysis of Variance
12%
Walk Test
12%
Neuroscience
Multiple Sclerosis
100%
Gait
100%
Angular Velocity
12%