LDR | | 00000nam u2200205 4500 |
001 | | 000000434441 |
005 | | 20200226150933 |
008 | | 200131s2019 ||||||||||||||||| ||eng d |
020 | |
▼a 9781687927729 |
035 | |
▼a (MiAaPQ)AAI27536113 |
035 | |
▼a (MiAaPQ)umichrackham002218 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 624 |
100 | 1 |
▼a Jebelli, Houtan. |
245 | 10 |
▼a Wearable Biosensors to Understand Construction Workers' Mental and Physical Stress. |
260 | |
▼a [S.l.]:
▼b University of Michigan.,
▼c 2019. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
300 | |
▼a 325 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B. |
500 | |
▼a Advisor: Lee, SangHyun. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Michigan, 2019. |
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▼a This item must not be sold to any third party vendors. |
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▼a This item must not be added to any third party search indexes. |
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▼a Occupational stress is defined as harmful physical and mental responses when job requirements are greater than a worker's capacity. Construction is one of the most stressful occupations because it involves physiologically and psychologically demanding tasks performed in a hazardous environment this stress can jeopardize construction safety, health, and productivity. Various instruments, such as surveys and interviews, have been used for measuring workers' perceived mental and physical stress. However valuable, such instruments are limited by their invasiveness, which prevents them from being used for continuous stress monitoring. The recent advancement of wearable biosensors has opened a new door toward the non-invasive collection of a field worker's physiological signals that can be used to assess their mental and physical status. Despite these advancements, challenges remain: acquiring physiological signals from wearable biosensors can be easily contaminated from diverse sources of signal noise. Further, the potential of these devices to assess field workers' mental and physical status has not been examined in the naturalistic work environment. To address these issues, this research aims to propose and validate a comprehensive and efficient stress-measurement framework that recognizes workers mental and physical stress in a naturalistic environment. The focus of this research is on two wearable biosensors. First, a wearable EEG headset, which is a direct measurement of brain waves with the minimal time lag, but it is highly vulnerable to various artifacts. Second, a very convenient wristband-type biosensor, which may be used as a means for assessing both mental and physical stress, but there is a time lag between when subjects are exposed to stressors and when their physiological signals change. To achieve this goal, five interrelated and interdisciplinary studies were performed to |
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▼a School code: 0127. |
650 | 4 |
▼a Biomedical engineering. |
650 | 4 |
▼a Electrical engineering. |
650 | 4 |
▼a Civil engineering. |
690 | |
▼a 0543 |
690 | |
▼a 0541 |
690 | |
▼a 0544 |
710 | 20 |
▼a University of Michigan.
▼b Civil Engineering. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 81-04B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0127 |
791 | |
▼a Ph.D. |
792 | |
▼a 2019 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494192
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202002
▼f 2020 |
990 | |
▼a ***1008102 |
991 | |
▼a E-BOOK |