Objectively quantifying walking ability in degenerative spinal disorder patients using sensor equipped smart shoes

Highlights • The functional level of LSS patients is quantified using a pair of sensorized shoes. • Machine learning algorithms were used to estimate the Oswestry Disability Index. • The functional level can be accurately quantified by analyzing walking ability.

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Bibliographic Details
Published in:Medical engineering & physics 2016-05, Vol.38 (5), p.442-449
Main Authors: Lee, Sunghoon Ivan, Park, Eunjeong, Huang, Alex, Mortazavi, Bobak, Hayward Garst, Jordan, Jahanforouz, Nima, Espinal, Marie, Siero, Tiffany, Pollack, Sophie, Afridi, Marwa, Daneshvar, Meelod, Ghias, Saif, C. Lu, Daniel, Sarrafzadeh, Majid
Format: Article
Language:English
Subjects:
Adult
Aged
Degeneration
Disorders
Female
Functional level
Gait
Hospitals
Humans
Lumbar spinal stenosis
Lumbar Vertebrae - physiopathology
Lumbar Vertebrae - surgery
Machine Learning
Male
Medical services
Middle Aged
Monitoring
Monitoring, Physiologic - instrumentation
Patients
Postoperative Period
Preoperative Period
Pressure
Pressure mapping
Radiology
Self-paced walking test
Shoes
Smart sensors
Smart shoes
Spatio-Temporal Analysis
Spinal cord disorder
Spinal Stenosis - physiopathology
Spinal Stenosis - surgery
Walking
Walking ability
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Description
Summary:Highlights • The functional level of LSS patients is quantified using a pair of sensorized shoes. • Machine learning algorithms were used to estimate the Oswestry Disability Index. • The functional level can be accurately quantified by analyzing walking ability.
ISSN:1350-4533
1873-4030
DOI:10.1016/j.medengphy.2016.02.004