Analysis of arm trajectories of everyday tasks for the development of an upper-limb orthosis

Rungun Ramanathan, Silvio P. Eberhardt, Tariq Rahman, Whitney Sample, Rami Seliktar, Michael Alexander

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Spatiotemporal arm and body movements of able-bodied subjects performing nine everyday tasks were recorded for the purpose of guiding the development of an upper-limb orthosis. To provide a user the opportunity to carry out these tasks with natural movements, the orthosis should allow replication of the measured trajectories. We outline the orthosis architecture, which supports the user's upper arm and forearm, and analyze the movement data to obtain orthosis design specifications. Trajectories were obtained using six- degree-of-freedom magnetic position sensors affixed to the wrist, elbow, shoulder, trunk and head. Elbow trajectory data were decomposed into ranges along the principle Cartesian axes to provide a generally useful envelope measure. The smallest Cartesian parallelepiped that contained the elbow trajectories for most tasks was approximately 30 cm front/back, 15 cm side/side, and 17 cm up/down. A rough lower bound estimate obtained by asking subjects to repeat the tasks while minimizing elbow movement substantially reduced movement in the up/down and side/side dimensions. Elbow angles were generally in the range 50°-150°, and the angle of the forearm with respect to vertical was 10°-110°. Raw trajectory data may be downloaded from www://asel.udel.edu/robotics/orthosis/range.html.

Original languageEnglish (US)
Pages (from-to)60-70
Number of pages11
JournalIEEE Transactions on Rehabilitation Engineering
Volume8
Issue number1
DOIs
StatePublished - 2000

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Analysis of arm trajectories of everyday tasks for the development of an upper-limb orthosis'. Together they form a unique fingerprint.

Cite this