Normative Kinematic Data for Two Functional UpperLimb Tasks 1Aïda M. Valevicius, 1Quinn A. Boser, 1Ewen B. Lavoie, 1,2Albert H. Vette, 1Craig S. Chapman, 1Patrick M. Pilarski, 1,2Jacqueline S. Hebert 1 University of Alberta, Edmonton, Alberta, Canada 2 Glenrose Rehabilitation Hospital, Alberta Health Services, Edmonton, Alberta, Canada INTRODUCTION a b c d e f • • • • are challenging enough to prompt compensatory movements contain elements of accuracy and risk require force modulation exhibit representative ranges of upper limb motion Moreover, to quantitatively assess upper limb function, a multi-body kinematic assessment is essential. In this context, using motion capture is a valuable tool to quantify compensatory movements in populations with upper limb impairments. Such compensations often put people at risk for overuse and other types of upper limb injuries. OBJECTIVES Cup Transfer Task Performance of clinical functional tasks is often quantified via time to completion of the task. An example of a time-based exercise is the ’Box and Blocks’ task, which requires a participant to move a set number of blocks across a partition [1]. Although this task has been used at length in a clinical environment, it does not provide the breadth of information that would be necessary to assess full functionality of people with upper limb impairments. New functional tasks are required that: METHODS Participants: • 20 able-bodied participants: 25 ± 7 years of age, 11 males, 18 right-handed • No upper-body pathology or any history of neurological or musculoskeletal injuries in the last two years Tasks: • Pasta box task: participants moved a box of pasta from a table placed at the right side of the body to two shelves of different heights in front of them • Cup transfer task: participants moved two compliant cups filled with therapeutic beads over a partition and back again, one with a top grasp and another with a side grasp Data collection: • 12-Bonita camera VICON motion capture system (120 Hz) • 6 rigid plates with 4 markers and 2 rigid plates with 3 markers were placed on upper body segments • 4 anatomical markers were placed on the head and 2 on the thumb and index • 20 trials were collected for each task • Angular and end-effector kinematics were computed from lowpass filtered data using custom written MATLAB code Figure 1: Schematic representation of the location of the rigid marker plates and anatomical markers during data collection. b b c d Figure 3: Time-normalized joint angle trajectories for the cup transfer task. DOFs presented are: a) shoulder flexion/extension; b) shoulder abduction/adduction; c) shoulder internal/external rotation; d) elbow flexion/extension; e) wrist flexion/extension; f) wrist ulnar/radial deviation; g) pronation/supination of the combined elbow and wrist joints. The solid green lines depict the group-averaged kinematics and the green shadings define angles that lie within one standard deviation of the mean. Figure 4: Blue graphs represent right hand velocity for a) pasta box task and c) cup transfer task. Red graphs represent grip aperture for b) pasta box task and d) cup transfer task. Shown are group averages ± one standard deviation. Table 1: End-effector metrics for the pasta box and cup transfer tasks, reported for each segment separately. The group averages ± one standard deviation for maximum hand velocity, hand velocity range, percent to peak velocity, and grip aperture range are presented. RESULTS a a Return to home Reach & grasp cup 1 Transport cup 1 Transport cup 2 Reach & grasp cup 2 Return to home Transport cup 2 1. Develop two functional tasks that mimic activities of daily living requiring precision, accuracy, force modulation, lateral movements, and crossing the body’s midline. 2. Create a comprehensive set of normative upper body kinematics for those tasks that can be used as a benchmark for clinical assessments. Reach & grasp cup 2 The objectives of this study were twofold: Transport cup 1 Reach & grasp cup 1 g c DISCUSSION e A normative set of upper body kinematics for two functional tasks that mimic activities of daily living and incorporate critical elements of accuracy and risk has been established. f Pasta Box Task d The joints exhibiting the greatest range of motion were: • shoulder flexion/extension • elbow flexion/extension and pronation/supination • wrist flexion/extension during the cup transfer task Some differences in end-effector metrics can be observed between the two tasks: Return to home Transport box Reach & grasp box Return to home Transport box Return to home Reach & grasp box Transport box Reach & grasp box g Figure 2: Time-normalized joint angle trajectories for the pasta box task. Degrees of freedom (DOFs) presented are: a) shoulder flexion/extension; b) shoulder abduction/adduction; c) shoulder internal/external rotation; d) elbow flexion/extension; e) wrist flexion/extension; f) wrist ulnar/radial deviation; and g) pronation/supination of the combined elbow and wrist joints. The solid green lines depict the group-averaged kinematics and the green shadings define angles that lie within one standard deviation of the mean. • pasta box task displayed smoother and single-peaked trajectories for hand velocity • the percent to peak velocity for the cup transfer task was more variable across segments than for the pasta box task The results of this study have high clinical significance as they provide an extensive summary of normative upper body kinematics during functional upper limb tasks. These norms will be used as a benchmark for assessing upper limb impairments, advanced assistive technologies, and performance improvements over time. REFERENCES [1] Hebert J, et al. JRRD 51:6, 919-932, 2014. ACKNOWLEDGMENTS This work was sponsored by the Defense Advanced Research Projects Agency (DARPA) BTO under the auspices of Dr. Doug Weber through the [Space and Naval Warfare Systems Center, Pacific OR DARPA Contracts Management Office] Grant/Contract No. N66001-15-C-4015. American Society of Biomechanics 2016 Student Travel Award University of Alberta Queen Elizabeth II Graduate Scholarship
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