東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Development of a Robotic Unloader Br...

Reinsdorf, Dylan S.

Linked to FindBook

Google Book

Amazon

博客來

Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis./
Author:	Reinsdorf, Dylan S.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	96 p.
Notes:	Source: Masters Abstracts International, Volume: 81-03.
Contained By:	Masters Abstracts International81-03.
Subject:	Robotics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13898171
ISBN:	9781088304419

Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.
Reinsdorf, Dylan S.

Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 96 p.

Source: Masters Abstracts International, Volume: 81-03.

Thesis (Master's)--University of Washington, 2019.

This item must not be sold to any third party vendors.

Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical loading of the knee joint. Numerous conservative treatment strategies have been developed to decrease pain, improve mobility, and delay time to total joint replacement. Unloader braces are commonly prescribed for medial uni-compartmental KOA, however their evidence of efficacy is inconclusive and limited by user compliance. Typical commercial braces transfer load from the medial compartment to the lateral knee compartment by applying a continuous brace abduction moment (BAM). We propose that brace utilization and effectiveness could be improved with a robotic device that intelligently modulates BAM in real time over the course of a step, day, and year to better protect the knee joint, improve pain relief, and increase comfort. To this end, we developed a robotic unloader knee brace ABLE (active brace for laboratory exploration) to flexibly emulate and explore different active and passive brace behaviors that may be more efficacious than traditional braces. The system is capable of modulating BAM within each step per researcher defined unloading profiles. ABLE was realized as a lightweight orthosis driven by an off-board system containing a servo motor, drive, and real-time controller. Frequency response and intra-step trajectory tracking during level-ground walking were evaluated in a single healthy human subject test to verify system performance. The system tracked trajectories with a root mean square error of 0.18 to 0.58 Nm for conditions varying in walking speed, 85-115% nominal, and trajectory peak BAM, 2.7 to 8.1 Nm. Biomechanical and subjective outcomes will be evaluated next for KOA patients to investigate how novel robotic brace operation affects pain relief, comfort, and KOA progression.

ISBN: 9781088304419Subjects--Topical Terms:

519753
Robotics.
Subjects--Index Terms:

Assistive device

Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.
LDR:03055nmm a2200361 4500 001 2272619
005 20201105110139.5
008 220629s2019 ||||||||||||||||| ||eng d
020 $a 9781088304419
035 $a (MiAaPQ)AAI13898171
035 $a AAI13898171
040 $a MiAaPQ $c MiAaPQ
100 1 $a Reinsdorf, Dylan S. $3 3550046
245 1 0 $a Development of a Robotic Unloader Brace for Investigation of Conservative Treatment of Medial Knee Osteoarthritis.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 96 p.
500 $a Source: Masters Abstracts International, Volume: 81-03.
500 $a Includes supplementary digital materials.
500 $a Advisor: Aubin, Patrick M.
502 $a Thesis (Master's)--University of Washington, 2019.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Knee osteoarthritis (KOA) is a painful and debilitating condition that is associated with mechanical loading of the knee joint. Numerous conservative treatment strategies have been developed to decrease pain, improve mobility, and delay time to total joint replacement. Unloader braces are commonly prescribed for medial uni-compartmental KOA, however their evidence of efficacy is inconclusive and limited by user compliance. Typical commercial braces transfer load from the medial compartment to the lateral knee compartment by applying a continuous brace abduction moment (BAM). We propose that brace utilization and effectiveness could be improved with a robotic device that intelligently modulates BAM in real time over the course of a step, day, and year to better protect the knee joint, improve pain relief, and increase comfort. To this end, we developed a robotic unloader knee brace ABLE (active brace for laboratory exploration) to flexibly emulate and explore different active and passive brace behaviors that may be more efficacious than traditional braces. The system is capable of modulating BAM within each step per researcher defined unloading profiles. ABLE was realized as a lightweight orthosis driven by an off-board system containing a servo motor, drive, and real-time controller. Frequency response and intra-step trajectory tracking during level-ground walking were evaluated in a single healthy human subject test to verify system performance. The system tracked trajectories with a root mean square error of 0.18 to 0.58 Nm for conditions varying in walking speed, 85-115% nominal, and trajectory peak BAM, 2.7 to 8.1 Nm. Biomechanical and subjective outcomes will be evaluated next for KOA patients to investigate how novel robotic brace operation affects pain relief, comfort, and KOA progression.
590 $a School code: 0250.
650 4 $a Robotics. $3 519753
650 4 $a Biomechanics. $3 548685
653 $a Assistive device
653 $a Biomechatronics
653 $a Exoskeleton
690 $a 0771
690 $a 0648
710 2 $a University of Washington. $b Mechanical Engineering. $3 2092993
773 0 $t Masters Abstracts International $g 81-03.
790 $a 0250
791 $a Master's
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13898171