title: A single task assessment system of upper-limb motor function after stroke.
abstract: BACKGROUND
  Nowadays, stroke is a leading cause of disability in adults. Assessment of motor performance has played an important role in rehabilitation for post stroke patients. Therefore, it is quite important to develop an automatic assessment system of motor function.
  
  
  OBJECTIVE
  The purpose of this study is to assess the performance of the single task upper-limb movements quantitatively among stroke survivors.
  
  
  METHODS
  Eleven normal subjects and thirty-five subjects with stroke were involved in this study. The subjects, who were wearing the micro-sensor motion capture system, performed shoulder flexion in a sitting position. The system recorded three-dimensional kinematics data of limb movements in quaternions. By extracting the significant features from these data, we built a linear model to acquire the functional assessment score (FAS).
  
  
  RESULTS
  All of the kinematics features have a significant statistical difference (P < 0.05) between patients and healthy people, while the feature values have a high correlation with Fugl-Meyer (FM) scores (r > 0.5, p < 0.05), indicating that these features are able to reflect the level of motion impairment. Furthermore, most samples of the linear model locate in the confidence interval after regression, with the residual approaching a normal distribution. These results show that the FAS is capable of motor function assessment for stroke survivors.
  
  
  CONCLUSIONS
  These findings represent an important step towards a system that can be utilized for precise single task motor evaluation after stroke, applicable to clinical research and as a tool for rehabilitation.
authors.affiliation: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China.
authors.forename: Jiuwei
authors.initials: J
authors.lastname: Li
authors.affiliation: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China.
authors.forename: Bingyu
authors.initials: B
authors.lastname: Pan
authors.affiliation: Rehabilitation Department, Peking University 1st Hospital, Beijing, China.
authors.forename: Tingting
authors.initials: T
authors.lastname: Jin
authors.affiliation: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China.
authors.forename: Zhipei
authors.initials: Z
authors.lastname: Huang
authors.affiliation: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China.
authors.forename: Shiwei
authors.initials: S
authors.lastname: Ye
authors.affiliation: School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China.
authors.forename: Jiankang
authors.initials: J
authors.lastname: Wu
authors.affiliation: Rehabilitation Department, Peking University 1st Hospital, Beijing, China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Huang
authors.affiliation: Rehabilitation Department, Peking University 1st Hospital, Beijing, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Xie
authors.affiliation: Rehabilitation Department, Peking University 1st Hospital, Beijing, China.
authors.forename: Chun
authors.initials: C
authors.lastname: Luo
authors.affiliation: Rehabilitation Department, Peking University 1st Hospital, Beijing, China.
authors.forename: Cui
authors.initials: C
authors.lastname: Wang
mesh_terms: D056228:Feedback, Sensory; D006801:Humans; D000068079:Motor Disorders / Q000175:diagnosis* / Q000209:etiology; D020127:Recovery of Function; D020521:Stroke / Q000150:complications / Q000503:physiopathology*; D000071939:Stroke Rehabilitation; D034941:Upper Extremity / Q000503:physiopathology*
keywords: Stroke; micro-sensor; motor assessment; rehabilitation; upper-limb