Quantification and visualization of coordination during non-cyclic upper extremity motion
There are many design challenges in creating at-home tele-monitoring systems that enable quantification and visualization of complex biomechanical behavior. One such challenge is robustly quantifying joint coordination in a way that is intuitive and supports clinical decision-making. This work defin...
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| Format: | Article |
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Elsevier
2018
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| Online Access: | http://hdl.handle.net/1721.1/114777 https://orcid.org/0000-0002-0119-1617 |
| _version_ | 1826201924595089408 |
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| author | Fineman, Richard A. Stirling, Leia A. |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Fineman, Richard A. Stirling, Leia A. |
| author_sort | Fineman, Richard A. |
| collection | MIT |
| description | There are many design challenges in creating at-home tele-monitoring systems that enable quantification and visualization of complex biomechanical behavior. One such challenge is robustly quantifying joint coordination in a way that is intuitive and supports clinical decision-making. This work defines a new measure of coordination called the relative coordination metric (RCM) and its accompanying normalization schemes. RCM enables quantification of coordination during non-constrained discrete motions. Here RCM is applied to a grasping task. Fifteen healthy participants performed a reach, grasp, transport, and release task with a cup and a pen. The measured joint angles were then time-normalized and the RCM time-series were calculated between the shoulder-elbow, shoulder-wrist, and elbow-wrist. RCM was normalized using four differing criteria: the selected joint degree of freedom, angular velocity, angular magnitude, and range of motion. Percent time spent in specified RCM ranges was used as. a composite metric and was evaluated for each trial. RCM was found to vary based on: (1) chosen normalization scheme, (2) the stage within the task, (3) the object grasped, and (4) the trajectory of the motion. The RCM addresses some of the limitations of current measures of coordination because it is applicable to discrete motions, does not rely on cyclic repetition, and uses velocity-based measures. Future work will explore clinically relevant differences in the RCM as it is expanded to evaluate different tasks and patient populations. Keywords: Coordination;
Tele-rehabilitation; Grasp; Upper extremity; Performance metrics |
| first_indexed | 2024-09-23T11:59:00Z |
| format | Article |
| id | mit-1721.1/114777 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:59:00Z |
| publishDate | 2018 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1147772022-09-27T23:16:51Z Quantification and visualization of coordination during non-cyclic upper extremity motion Fineman, Richard A. Stirling, Leia A. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Stirling, Leia A. There are many design challenges in creating at-home tele-monitoring systems that enable quantification and visualization of complex biomechanical behavior. One such challenge is robustly quantifying joint coordination in a way that is intuitive and supports clinical decision-making. This work defines a new measure of coordination called the relative coordination metric (RCM) and its accompanying normalization schemes. RCM enables quantification of coordination during non-constrained discrete motions. Here RCM is applied to a grasping task. Fifteen healthy participants performed a reach, grasp, transport, and release task with a cup and a pen. The measured joint angles were then time-normalized and the RCM time-series were calculated between the shoulder-elbow, shoulder-wrist, and elbow-wrist. RCM was normalized using four differing criteria: the selected joint degree of freedom, angular velocity, angular magnitude, and range of motion. Percent time spent in specified RCM ranges was used as. a composite metric and was evaluated for each trial. RCM was found to vary based on: (1) chosen normalization scheme, (2) the stage within the task, (3) the object grasped, and (4) the trajectory of the motion. The RCM addresses some of the limitations of current measures of coordination because it is applicable to discrete motions, does not rely on cyclic repetition, and uses velocity-based measures. Future work will explore clinically relevant differences in the RCM as it is expanded to evaluate different tasks and patient populations. Keywords: Coordination; Tele-rehabilitation; Grasp; Upper extremity; Performance metrics National Science Foundation (U.S.) (Award IIS-1453141) United States. National Aeronautics and Space Administration (Award NCC 9-58) United States. National Aeronautics and Space Administration (Award NNX16AM71H) 2018-04-18T15:15:16Z 2018-04-18T15:15:16Z 2017-08 2018-04-11T17:15:13Z Article http://purl.org/eprint/type/JournalArticle 0021-9290 http://hdl.handle.net/1721.1/114777 Fineman, Richard A., and Leia A. Stirling. “Quantification and Visualization of Coordination During Non-Cyclic Upper Extremity Motion.” Journal of Biomechanics 63 (October 2017): 82–91 © 2017 The Authors https://orcid.org/0000-0002-0119-1617 http://dx.doi.org/10.1016/J.JBIOMECH.2017.08.008 Journal of Biomechanics Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Elsevier |
| spellingShingle | Fineman, Richard A. Stirling, Leia A. Quantification and visualization of coordination during non-cyclic upper extremity motion |
| title | Quantification and visualization of coordination during non-cyclic upper extremity motion |
| title_full | Quantification and visualization of coordination during non-cyclic upper extremity motion |
| title_fullStr | Quantification and visualization of coordination during non-cyclic upper extremity motion |
| title_full_unstemmed | Quantification and visualization of coordination during non-cyclic upper extremity motion |
| title_short | Quantification and visualization of coordination during non-cyclic upper extremity motion |
| title_sort | quantification and visualization of coordination during non cyclic upper extremity motion |
| url | http://hdl.handle.net/1721.1/114777 https://orcid.org/0000-0002-0119-1617 |
| work_keys_str_mv | AT finemanricharda quantificationandvisualizationofcoordinationduringnoncyclicupperextremitymotion AT stirlingleiaa quantificationandvisualizationofcoordinationduringnoncyclicupperextremitymotion |