語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Objective Methods for Characterizing...
~
Thamsuwan, Ornwipa.
FindBook
Google Book
Amazon
博客來
Objective Methods for Characterizing Physical Exposures which may contribute to Work-related Musculoskeletal Disorders in Agricultural Workers.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Objective Methods for Characterizing Physical Exposures which may contribute to Work-related Musculoskeletal Disorders in Agricultural Workers./
作者:
Thamsuwan, Ornwipa.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:
165 p.
附註:
Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
Contained By:
Dissertation Abstracts International78-04B(E).
標題:
Industrial engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10162433
ISBN:
9781369172232
Objective Methods for Characterizing Physical Exposures which may contribute to Work-related Musculoskeletal Disorders in Agricultural Workers.
Thamsuwan, Ornwipa.
Objective Methods for Characterizing Physical Exposures which may contribute to Work-related Musculoskeletal Disorders in Agricultural Workers.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 165 p.
Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
Thesis (Ph.D.)--University of Washington, 2016.
US Migrant farmworkers perform physically-demanding work but are less likely to report poor working conditions, which exposes them to greater risk for musculoskeletal disorders (e.g., prolonged non-neutral postures, repetitive motions and forceful exertions). Technology such as harvest-assisted mobile orchard platforms can increase worker efficiency, but the potential impact on musculoskeletal health effects is unclear. The existing methods to assess ergonomic risk factors are not suitable to examine agricultural work due to the variability observed in the field. The goal of this dissertation is to develop methods to characterize these musculoskeletal health risk exposures using objective measures including kinematic (arm movements) and physiological (muscle fatigue and muscle activity) data collected in the field using inclinometer and electromyography, respectively. Subjective measures are also collected using the Borg RPE and Borg CR10 scales to assess perceived overall body exertion and local body part fatigue, respectively. These exposure assessment methods are used to evaluate and compare different apple harvesting methods in Washington State. The relationship between the objective and subjective measures are examined to assess whether objective measures, which are cumbersome to collect, can be replaced with subjective measures. The findings suggest that mobile platforms could reduce the kinematic measures of musculoskeletal health risk exposures but may not reduce physiological impact observed in muscles. Subjective measures provided different results from objective measures; therefore, one could not replace the other. The potential benefits of this research relate to improve work environment for farmworkers, which will ultimately improve their overall health and well-being.
ISBN: 9781369172232Subjects--Topical Terms:
526216
Industrial engineering.
Objective Methods for Characterizing Physical Exposures which may contribute to Work-related Musculoskeletal Disorders in Agricultural Workers.
LDR
:02813nmm a2200301 4500
001
2116781
005
20170508081327.5
008
180830s2016 ||||||||||||||||| ||eng d
020
$a
9781369172232
035
$a
(MiAaPQ)AAI10162433
035
$a
AAI10162433
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Thamsuwan, Ornwipa.
$3
3278522
245
1 0
$a
Objective Methods for Characterizing Physical Exposures which may contribute to Work-related Musculoskeletal Disorders in Agricultural Workers.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2016
300
$a
165 p.
500
$a
Source: Dissertation Abstracts International, Volume: 78-04(E), Section: B.
500
$a
Adviser: Peter W. Johnson.
502
$a
Thesis (Ph.D.)--University of Washington, 2016.
520
$a
US Migrant farmworkers perform physically-demanding work but are less likely to report poor working conditions, which exposes them to greater risk for musculoskeletal disorders (e.g., prolonged non-neutral postures, repetitive motions and forceful exertions). Technology such as harvest-assisted mobile orchard platforms can increase worker efficiency, but the potential impact on musculoskeletal health effects is unclear. The existing methods to assess ergonomic risk factors are not suitable to examine agricultural work due to the variability observed in the field. The goal of this dissertation is to develop methods to characterize these musculoskeletal health risk exposures using objective measures including kinematic (arm movements) and physiological (muscle fatigue and muscle activity) data collected in the field using inclinometer and electromyography, respectively. Subjective measures are also collected using the Borg RPE and Borg CR10 scales to assess perceived overall body exertion and local body part fatigue, respectively. These exposure assessment methods are used to evaluate and compare different apple harvesting methods in Washington State. The relationship between the objective and subjective measures are examined to assess whether objective measures, which are cumbersome to collect, can be replaced with subjective measures. The findings suggest that mobile platforms could reduce the kinematic measures of musculoskeletal health risk exposures but may not reduce physiological impact observed in muscles. Subjective measures provided different results from objective measures; therefore, one could not replace the other. The potential benefits of this research relate to improve work environment for farmworkers, which will ultimately improve their overall health and well-being.
590
$a
School code: 0250.
650
4
$a
Industrial engineering.
$3
526216
650
4
$a
Occupational safety.
$3
3172193
650
4
$a
Agriculture.
$3
518588
690
$a
0546
690
$a
0354
690
$a
0473
710
2
$a
University of Washington.
$b
Industrial and Systems Engineering.
$3
2092192
773
0
$t
Dissertation Abstracts International
$g
78-04B(E).
790
$a
0250
791
$a
Ph.D.
792
$a
2016
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10162433
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9327400
電子資源
01.外借(書)_YB
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入