A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis
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 focu...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Multimodal Technologies and Interaction |
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| Online Access: | https://www.mdpi.com/2414-4088/3/1/6 |
| _version_ | 1811290893563461632 |
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| author | Akilesh Rajavenkatanarayanan Varun Kanal Konstantinos Tsiakas Diane Calderon Michalis Papakostas Maher Abujelala Marnim Galib James C. Ford Glenn Wylie Fillia Makedon |
| author_facet | Akilesh Rajavenkatanarayanan Varun Kanal Konstantinos Tsiakas Diane Calderon Michalis Papakostas Maher Abujelala Marnim Galib James C. Ford Glenn Wylie Fillia Makedon |
| author_sort | Akilesh Rajavenkatanarayanan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T04:20:19Z |
| format | Article |
| id | doaj.art-5271ceaf8e6d4e728243657b74f72a93 |
| institution | Directory Open Access Journal |
| issn | 2414-4088 |
| language | English |
| last_indexed | 2024-04-13T04:20:19Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Multimodal Technologies and Interaction |
| spelling | doaj.art-5271ceaf8e6d4e728243657b74f72a932022-12-22T03:02:47ZengMDPI AGMultimodal Technologies and Interaction2414-40882019-02-0131610.3390/mti3010006mti3010006A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple SclerosisAkilesh Rajavenkatanarayanan0Varun Kanal1Konstantinos Tsiakas2Diane Calderon3Michalis Papakostas4Maher Abujelala5Marnim Galib6James C. Ford7Glenn Wylie8Fillia Makedon9The Heracleia Human Centered Computing Laboratory, Department of Computer Science and Engineering, The University of Texas Arlington, Arlington, TX 76019, USAThe Heracleia Human Centered Computing Laboratory, Department of Computer Science and Engineering, The University of Texas Arlington, Arlington, TX 76019, USADepartment of Psychiatry, Yale University, New Haven, CT 06510, USAThe Heracleia Human Centered Computing Laboratory, Department of Computer Science and Engineering, The University of Texas Arlington, Arlington, TX 76019, USAThe Heracleia Human Centered Computing Laboratory, Department of Computer Science and Engineering, The University of Texas Arlington, Arlington, TX 76019, USAThe Heracleia Human Centered Computing Laboratory, Department of Computer Science and Engineering, The University of Texas Arlington, Arlington, TX 76019, USAThe Heracleia Human Centered Computing Laboratory, Department of Computer Science and Engineering, The University of Texas Arlington, Arlington, TX 76019, USABrain Research Network, Department of Psychiatry Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USANeuroimaging Center and Neuropsychology and Neuroscience Research, The Kessler Foundation, W. Orange, NJ 07052, USAThe Heracleia Human Centered Computing Laboratory, Department of Computer Science and Engineering, The University of Texas Arlington, Arlington, TX 76019, USAMultiple 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.https://www.mdpi.com/2414-4088/3/1/6multiple sclerosisgaitfatiguesensorsrehabilitation |
| spellingShingle | Akilesh Rajavenkatanarayanan Varun Kanal Konstantinos Tsiakas Diane Calderon Michalis Papakostas Maher Abujelala Marnim Galib James C. Ford Glenn Wylie Fillia Makedon A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis Multimodal Technologies and Interaction multiple sclerosis gait fatigue sensors rehabilitation |
| title | A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis |
| title_full | A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis |
| title_fullStr | A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis |
| title_full_unstemmed | A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis |
| title_short | A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis |
| title_sort | survey of assistive technologies for assessment and rehabilitation of motor impairments in multiple sclerosis |
| topic | multiple sclerosis gait fatigue sensors rehabilitation |
| url | https://www.mdpi.com/2414-4088/3/1/6 |
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