利用惯性数据纵向估计多发性硬化症受试者的步态时间序列密度

2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) Pub Date : 2016-06-14 DOI:10.1109/BSN.2016.7516250

Asma Qureshi, Maite Brandt-Pearce, M. Goldman

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引用次数: 1

摘要

多发性硬化症(MS)是一种神经系统疾病，它会破坏大脑内部以及大脑和身体之间的沟通。多发性硬化症的症状可能随时间而变化。因此，我们建议使用惯性数据对患者的步态特征进行纵向评估，以评估他/她长时间的步态。

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Longitudinal estimation of gait time series density in multiple sclerosis subjects using inertial data

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.

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2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

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