Monitoring gait in multiple sclerosis with novel wearable motion sensors Article Swipe
Related Concepts
Gait
Kinematics
STRIDE
Inertial measurement unit
Observational error
Mean squared error
Physical medicine and rehabilitation
Wearable computer
Accuracy and precision
Simulation
Computer science
Mathematics
Medicine
Artificial intelligence
Statistics
Physics
Classical mechanics
Embedded system
Yaejin Moon
,
Ryan S. McGinnis
,
Kirsten Seagers
,
Robert W. Motl
,
Nirav Sheth
,
John A. Wright
,
Roozbeh Ghaffari
,
Jacob J. Sosnoff
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0171346
· OA: W2586302922
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0171346
· OA: W2586302922
BioStampRC sensors accurately and precisely measure gait parameters in PwMS across diverse walking impairment levels and detected differences in gait characteristics by disability level in PwMS. This technology has the potential to provide granular monitoring of gait both inside and outside the clinic.
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