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The effect of repeated measurements using an upper extremity robot on healthy adults

The effect of repeated measurements using an upper extremity robot on healthy adults
The effect of repeated measurements using an upper extremity robot on healthy adults
We are expanding the use of the MIT-MANUS robotics to persons with impairments due exclusively to orthopedic disorders, with no neurological deficits. To understand the reliability of repeated measurements of the robotic tasks and the potential for registering changes due to learning is critical. Purposes of this study were to assess the learning effect of repeated exposure to robotic evaluations and to demonstrate the ability to detect a change in protocol in outcome measurements. Ten healthy, unimpaired subjects (mean age = 54.1 +/- 6.4 years) performed six repeated evaluations consisting of unconstrained reaching movements to targets and circle drawing (with and without a visual template) on the MITMANUS. Reaching outcomes were aiming error, mean and peak speed, movement smoothness and duration. Outcomes for circle drawing were axis ratio metric and shoulder- elbow joint angles correlation metric (was based on a two-link model of the human arm and calculated hand path during the motions). Repeated-measures ANOVA (p < or = .05) determined if difference existed between the sessions. Intraclass correlations (R) were calculated. All variables were reliable, without learning across testing sessions. Intraclass correlation values were good to high (reaching, R > or =.80; circle drawing, R > or =.90). Robotic measurement ability to differentiate between similar but distinct tasks was demonstrated as measured by axis ratio metric (p < .001) and joint correlation metric (p = .001). Outcome measures of the MIT-MANUS proved to be reliable yet sensitive to change in healthy adults without motor learning over the course of repeated measurements
1065-8483
103-110
Finley, Margaret A.
6510036a-3ffa-4915-9a47-18cf96eea57f
Dipietro, Laura
ec635e51-6a38-467c-aaa4-7cf48dbf9b36
Ohlhoff, Jill
b96514eb-5cfa-45db-8324-ad753a11b120
Whitall, Jill
9761aefb-be80-4270-bc1f-0e726399376e
Krebs, Hermano I.
d386a29f-8aff-44f8-bc69-3a336731e511
Bever, Christopher T.
d1350427-35a1-4cb3-b8bc-aa1c16c059ce
Finley, Margaret A.
6510036a-3ffa-4915-9a47-18cf96eea57f
Dipietro, Laura
ec635e51-6a38-467c-aaa4-7cf48dbf9b36
Ohlhoff, Jill
b96514eb-5cfa-45db-8324-ad753a11b120
Whitall, Jill
9761aefb-be80-4270-bc1f-0e726399376e
Krebs, Hermano I.
d386a29f-8aff-44f8-bc69-3a336731e511
Bever, Christopher T.
d1350427-35a1-4cb3-b8bc-aa1c16c059ce

Finley, Margaret A., Dipietro, Laura, Ohlhoff, Jill, Whitall, Jill, Krebs, Hermano I. and Bever, Christopher T. (2009) The effect of repeated measurements using an upper extremity robot on healthy adults. Journal of Applied Biomechanics, 25 (2), 103-110. (PMID:10822433)

Record type: Article

Abstract

We are expanding the use of the MIT-MANUS robotics to persons with impairments due exclusively to orthopedic disorders, with no neurological deficits. To understand the reliability of repeated measurements of the robotic tasks and the potential for registering changes due to learning is critical. Purposes of this study were to assess the learning effect of repeated exposure to robotic evaluations and to demonstrate the ability to detect a change in protocol in outcome measurements. Ten healthy, unimpaired subjects (mean age = 54.1 +/- 6.4 years) performed six repeated evaluations consisting of unconstrained reaching movements to targets and circle drawing (with and without a visual template) on the MITMANUS. Reaching outcomes were aiming error, mean and peak speed, movement smoothness and duration. Outcomes for circle drawing were axis ratio metric and shoulder- elbow joint angles correlation metric (was based on a two-link model of the human arm and calculated hand path during the motions). Repeated-measures ANOVA (p < or = .05) determined if difference existed between the sessions. Intraclass correlations (R) were calculated. All variables were reliable, without learning across testing sessions. Intraclass correlation values were good to high (reaching, R > or =.80; circle drawing, R > or =.90). Robotic measurement ability to differentiate between similar but distinct tasks was demonstrated as measured by axis ratio metric (p < .001) and joint correlation metric (p = .001). Outcome measures of the MIT-MANUS proved to be reliable yet sensitive to change in healthy adults without motor learning over the course of repeated measurements

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Published date: May 2009
Organisations: Faculty of Health Sciences

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Local EPrints ID: 361414
URI: http://eprints.soton.ac.uk/id/eprint/361414
ISSN: 1065-8483
PURE UUID: 6da999e8-cab1-4c18-9366-74ba6420d1c2

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Date deposited: 20 Jan 2014 12:06
Last modified: 22 Jul 2022 18:53

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Contributors

Author: Margaret A. Finley
Author: Laura Dipietro
Author: Jill Ohlhoff
Author: Jill Whitall
Author: Hermano I. Krebs
Author: Christopher T. Bever

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