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Multimodal Technologies Interact. 2019, 3(1), 6;

A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis

The Heracleia Human Centered Computing Laboratory, Department of Computer Science and Engineering, The University of Texas Arlington, Arlington, TX 76019, USA
Department of Psychiatry, Yale University, New Haven, CT 06510, USA
Brain Research Network, Department of Psychiatry Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA
Neuroimaging Center and Neuropsychology and Neuroscience Research, The Kessler Foundation, W. Orange, NJ 07052, USA
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 12 December 2018 / Revised: 24 January 2019 / Accepted: 31 January 2019 / Published: 5 February 2019
(This article belongs to the Special Issue Interactive Assistive Technology)
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Multiple sclerosis (MS) is a disease that affects the central nervous system, which consists of the brain and spinal cord. Although this condition cannot be cured, proper treatment of persons with MS (PwMS) can help control and manage the relapses of several symptoms. In this survey article, we focus on the different technologies used for the assessment and rehabilitation of motor impairments for PwMS. We discuss sensor-based and robot-based solutions for monitoring, assessment and rehabilitation. Among MS symptoms, fatigue is one of the most disabling features, since PwMS may need to put significantly more intense effort toward achieving simple everyday tasks. While fatigue is a common symptom across several neurological chronic diseases, it remains poorly understood for various reasons, including subjectivity and variability among individuals. To this end, we also investigate recent methods for fatigue detection and monitoring. The result of this survey will provide both clinicians and researchers with valuable information on assessment and rehabilitation technologies for PwMS, as well as providing insights regarding fatigue and its effect on performance in daily activities for PwMS. View Full-Text
Keywords: multiple sclerosis; gait; fatigue; sensors; rehabilitation multiple sclerosis; gait; fatigue; sensors; rehabilitation

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Rajavenkatanarayanan, A.; Kanal, V.; Tsiakas, K.; Calderon, D.; Papakostas, M.; Abujelala, M.; Galib, M.; Ford, J.C.; Wylie, G.; Makedon, F. A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis. Multimodal Technologies Interact. 2019, 3, 6.

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