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Longitudinal estimation of gait time series density in multiple sclerosis subjects using inertial data
Longitudinal estimation of gait time series density in multiple sclerosis subjects using inertial data
- Source :
- BSN
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Multiple sclerosis (MS) is a neurological disorder that disrupts the communication within the brain, and between the brain and body. MS symptoms may vary over time. So we propose to do longitudinal assessments of a patient's gait characteristics using inertial data, in order to evaluate his/her gait for an extended period of time.
- Subjects :
- Series (stratigraphy)
medicine.medical_specialty
Inertial frame of reference
business.industry
Multiple sclerosis
Neurological disorder
medicine.disease
03 medical and health sciences
0302 clinical medicine
Physical medicine and rehabilitation
Gait (human)
Medicine
030212 general & internal medicine
business
030217 neurology & neurosurgery
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
- Accession number :
- edsair.doi...........8c27343b134f96f534429a726076f97d
- Full Text :
- https://doi.org/10.1109/bsn.2016.7516250