作者
Akilesh Rajavenkatanarayanan, Varun Kanal, Konstantinos Tsiakas, Diane Calderon, Michalis Papakostas, Maher Abujelala, Marnim Galib, James C Ford, Glenn Wylie, Fillia Makedon
发表日期
2019/2/5
来源
Multimodal Technologies and Interaction
卷号
3
期号
1
页码范围
6
出版商
MDPI
简介
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.
引用总数
201920202021202220232024648322
学术搜索中的文章
A Rajavenkatanarayanan, V Kanal, K Tsiakas… - A survey of assistive technologies for assessment and …, 2019