Sunghoon I Lee, Alex Huang, Bobak Mortazavi, Charles Li, Haydn A Hoffman, Jordan Garst, Derek S Lu, Ruth Getachew, Marie Espinal, Mehrdad Razaghy, Nima Ghalehsari, Brian H Paak, Amir A Ghavam, Marwa Afridi, Arsha Ostowari, Hassan Ghasemzadeh, Daniel C Lu, Majid Sarrafzadeh
Cervical spondylotic myelopathy (CSM) is a chronic spinal disorder in the neck region. Its prevalence is growing rapidly in developed nations, creating a need for an objective assessment tool. This article introduces a system for quantifying hand motor function using a handgrip device and target tracking test. In those with CSM, hand motor impairment often interferes with essential daily activities. The analytic method applied machine learning techniques to investigate the efficacy of the system in (1) detecting the presence of impairments in hand motor function, (2) estimating the perceived motor deficits of CSM patients using the Oswestry Disability Index (ODI), and (3) detecting changes in physical condition after surgery, all of which were performed while ensuring test-retest reliability...
2016: Journal of Rehabilitation Research and Development