Development and validation of upper extremity kinematic movement analysis for people with stroke

نویسنده

  • Margit Alt Murphy
چکیده

Kinematic analysis is a powerful method for objective assessment of movement performance, and is increasingly employed as outcome measure after stroke. The number of studies investigating natural, goaloriented daily tasks is however small. Likewise, little is known how the actual movement performance measured with kinematics is related to the traditional clinical assessment scales. Furthermore, only few studies investigated longitudinal changes and evaluated what these changes mean in context of an individual’s functioning after stroke. The overall aim of this thesis was to develop a method of threedimensional movement analysis for a purposeful upper extremity task “drinking from a glass” and to evaluate the cross-sectional and longitudinal validity of the kinematic measures in relation to impairments and activity limitations in people with motor deficits after stroke. Methods: The studies reported in the current thesis included 29 healthy individuals and 82 individuals with stroke. A standardized test protocol for the drinking task was developed and its consistency was examined. A five camera optoelectronic motion capture system with passive markers was used to measure both temporal and spatial kinematic characteristics of movement performance. The clinical outcomes used in the different studies were: Fugl-Meyer Assessment for Upper Extremity, Action Research Arm Test and ABILHAND questionnaire. The construct and concurrent validity was examined in subacute and chronic stages after stroke; the longitudinal change and responsiveness was evaluated during the first three months after stroke. Results: The test protocol of the drinking task demonstrated a good consistency in test-retest. The explorative analysis of kinematic data revealed that the drinking task can be described with two major factors in people with stroke. One of them included predominantly measures of temporal nature (movement time, smoothness, velocity) and the other comprised primarily spatial movement pattern measures (joint angles, trunk displacement). Four kinematic measures: movement time, movement smoothness, angular velocity of the elbow and compensatory trunk displacement; demonstrated to be most effective in discriminating among individuals with moderate and mild impairment after stroke and healthy persons. Subsequently, three kinematic measures: movement smoothness, movement time and trunk displacement demonstrated strongest associations with upper extremity activity capacity after stroke, measured with Action Research Arm Test. Finally, all three kinematic measures showed to be responsive for capturing improvements in upper extremity activity during the first three months after stroke. Conclusions and clinical implications: Three kinematic measures of the drinking task: movement smoothness, movement time and trunk displacement; demonstrated to be valid and responsive measures for characterizing the upper extremity function and to capture an improvement over time after stroke. It can be concluded, that the test protocol of the drinking task as described in this thesis is feasible for clinical studies and provides objective, valid and clinically interpretable data of an individual’s actual movement performance during the drinking task. This knowledge facilitates both clinical and movement analysis research and can be valuable in the area of bioengineering when assessment methods for new technology based devices are developed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Robot-Assisted Reach Training for Improving Upper Extremity Function of Chronic Stroke.

Stroke, as a major risk factor for chronic impairment of upper limb function, can severely restrict the activities of daily living. Recently, robotic devices have been used to enhance the functional upper extremity movement of stroke patients. The purpose of the current study was to assess whether a robot-assisted reach training program using a whole arm manipulator (WAM) could improve upper ex...

متن کامل

An upper extremity kinematic model for evaluation of hemiparetic stroke.

Quantification of rehabilitation progress is necessary for accurately assessing clinical treatments. A three-dimension (3D) upper extremity (UE) kinematic model was developed to obtain joint angles of the trunk, shoulder and elbow using a Vicon motion analysis system. Strict evaluation confirmed the system's accuracy and precision. As an example of application, the model was used to evaluate th...

متن کامل

The comparison of kinematic characteristics of upper extremity of adolescences and adults in three steps shot in handball

Introduction and aim: The kinematic analysis of elite athletes’ performance is an important method to determine effective parameters of sport performances. The purpose of the present study was to compare kinematic characteristics of the upper extremity in adolescence and adult players in three-step shoot in Handball. Methods: Nine elite adult handball players working in the Super League (23.55 ...

متن کامل

Reproducibility and minimal detectable change of three-dimensional kinematic analysis of reaching tasks in people with hemiparesis after stroke.

BACKGROUND AND PURPOSE Three-dimensional kinematic analysis of reaching has emerged as an evaluative measure of upper-extremity motor performance in people after stroke. However, the psychometric properties supporting the use of kinematic data for evaluating longitudinal change in motor performance have not been established. The objective of this study was to determine, in a test-retest reliabi...

متن کامل

Integrated arm and hand training using adaptive robotics and virtual reality simulations

Virtual Reality simulations interfaced with robotic arm devices are being used for training the upper extremity of people post-stroke. The benefit has been hypothesized to be the ability to provide repetitive task practice, directed visual and auditory feedback, learning algorithms and graded resistive and assistive forces. All of these elements can be manipulated to provide individualized moto...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013