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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 黃耀輝 | |
dc.contributor.author | Chen-Ling Wang | en |
dc.contributor.author | 王甄伶 | zh_TW |
dc.date.accessioned | 2021-06-16T17:25:37Z | - |
dc.date.available | 2017-09-17 | |
dc.date.copyright | 2012-09-17 | |
dc.date.issued | 2012 | |
dc.date.submitted | 2012-08-16 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/63993 | - |
dc.description.abstract | 雖然已經有許多報告顯示電腦工作者和上肢肌肉骨骼疾病的相關性,但較少使用客觀的監測系統評估實際職場中電腦工作者使用電腦狀況及肌肉疲勞情形的研究。而在先前的研究發現,電腦活動紀錄軟體VDTlog所記錄之參數中,滑鼠移動之速度與加速度和表面肌電圖量測之頻率參數的變化有一致性,可考慮用來當成操作滑鼠動作表現的評估指標。本研究目的分為兩部分,第一部分為利用VDTlog軟體與表面肌電圖為評估工具,探討表面肌電圖量測結果與VDTlog軟體記錄結果的相關性,找出適合用於評估實際職場電腦工作者肌肉疲勞之指標。第二部分則將VDTlog軟體運用於評估實際職場上電腦工作者肌肉疲勞的情形,並探討電腦工作者的上肢肌肉骨骼症狀的發生情形與可能原因。
本研究第一部分募集30位過去一年無上肢肌肉骨骼相關病史之男性受試者,在人因工程實驗室中,連續以滑鼠操作一種電腦遊戲兩小時。量測受試者表面肌電圖資料及利用VDTlog軟體來記錄鍵盤及滑鼠之操作情形,分析兩小時內受試者之肌電圖振幅、中位頻率等參數與VDTlog所記錄之滑鼠移動速度及加速度之各百分位的變化及相關性。結果顯示,滑鼠移動速度第99百分位(P<0.05)、第1百分位(P<0.005)和加速度的第99百分位(P<0.005)、第95百分位(P=0.02)、第90百分位(P=0.04)、第5百分位(P=0.03)、第1百分位(P<0.005)及伸指肌中位頻率(P<0.0001)在第一小時與第二小時之間有顯著差異。而由Mixed Model合併分析VDTlog所紀錄之滑鼠移動速度和加速度與肌電圖各量測肌肉之振幅、中位頻率之關係結果顯示,滑鼠移動加速度之第95百分位、第90百分位、第5百分位數值可用來替代伸指肌之肌電圖參數變化,作為評估電腦工作者肌肉疲勞的指標。 本研究第二部分募集39位使用電腦工作為主的職場員工,利用VDTlog軟體記錄受試者日常工作的電腦作業活動,共記錄5個工作天,並收集基本資料問卷、人體計測及工作站環境資料。結果顯示,受試者自我評估使用電腦時間(7.32±1.83小時)比VDTlog記錄使用電腦時間(3.34±1.42小時)有顯著高估情形(P<0.0001);,使用滑鼠的時間長度與肩膀疼痛自覺症狀呈正相關(OR=4.43,95%信賴區間:1.23~33.17,P=0.03);使用電腦、滑鼠、鍵盤時間與滑鼠移動速度及加速度呈負相關(P<0.05),電腦閒置時間與滑鼠移動速度呈正相關(P=0.01);滑鼠移動加速度可被考慮用來作為評估手臂肌肉疲勞的指標。對於造成電腦工作者上肢肌肉骨骼症狀的危險因子,本研究和過去研究有類似的發現,但VDTlog記錄軟體所衍生的參數能較準確客觀地量化評估受試者電腦的使用情形,釐清不同輸入工具(鍵盤、滑鼠)個別的使用時間,且對受試者工作的干擾較小;利用VDTlog記錄軟體所得的滑鼠移動加速度評估受試者手臂肌肉的疲勞情形為一更便利、即時且節省成本的評估方法。本研究驗證了利用VDTlog軟體評估實際職場上電腦工作者肌肉疲勞情形的可行性,未來期望進一步將VDTlog軟體運用於大量樣本或長期監測的流行病學研究中。 | zh_TW |
dc.description.abstract | Extensive computer use is an identified risk factor for computer work-related musculoskeletal disorders. However, only limited studies used objective measurements to assess the association between computer work loadings and musculoskeletal fatigue in field study. Previous studies reported that derived electronic activity recording parameters, i.e., mouse moving speed and acceleration of the VDTlog monitoring system, were correlated with the median frequency of surface electromyogram (sEMG) measurement, and therefore could be considered as indicators for computer mouse users’ performance evaluation. The objectives of this study were: (1) to correlate the measurements with sEMG and VDTlog monitoring system, respectively, for continuous computer work in order to identify appropriate indicators for the upper-extremity musclar fatigue, and (2) to apply VDTlog monitoring system in field study to evaluate the upper extremity musculoskeletal fatigue of the computer users and explore the possible causes for the occurrence of upper extremity musculoskeletal discomforts.
In the first part of this study, there were 30 male subjects recruited who didn’t have musculoskeletal disorders in the upper extremity in the past year. All subjects were asked to play a computer game continuously for two hours in an ergonomics laboratory. sEMG was used to monitor the activities of extensor digitorum communis (EDC), flexor digitorum superficialis (FDS), and bilateral upper trapezius during the computer game playing. Meanwhile, VDTlog monitoring system was also applied to record the electronic activities of computer mouse and keyboard operation. Statistical analysis on the amplitude and median frequency of sEMG measurement and various percentiles of derived speed and acceleration parameters for mouse movement with VDTlog monitoring system were conducted to characterize their distributions and explore the correlation among them. Results showed that the median frequency of EDC(P<0.0001), the first (P<0.005) and 99th (P<0.05) percentiles of mouse-moving speed and the 99th (P<0.005), 95th (P<0.02), 90th (P<0.04), 5th (P<0.03), 1st (P<0.005) percentiles of mouse-moving acceleration were significantly different between the 1st and 2nd hours in this two-hour game experiment. Mixed model analysis on the speed and acceleration parameters derived from VDTlog monitoring and the amplitude and median frequency of sEMG measurement indicated that the 95th, 90th and 5th percentiles of mouse-moving acceleration might be able to substitute median frequency of EDC as indicators for upper-extremity muscular fatigue of the computer users. In the second part of this study, there were 39 computer workers recruited as study subjects. Their daily activities with computer at work in five consecutive days was recorded with VDTlog monitoring system. Questionnaire administration was conducted to collect study subjects’ personal information, while individual anthropometric data and work environmental layout were also obtained on site. Results indicated that the study subjects tended to overestimate their computer use time at work (7.32±1.83 hours) as compared to that recorded by VDTlog monitoring system (3.34±1.42 hours, p<0.0001). The recorded mouse use time (OR=4.43, 95% CI: 1.23~33.17 for more than 2 h/day, p=0.03) were positively associated with shoulder discomforts. In contrast, the computer use time, mouse use time, and keyboard use time were negatively associated with mouse-moving speed and acceleration (p<0.05), while computer idle time (電腦閒置時間) was positively associated with mouse-moving speed (p=0.01). Accordingly, mouse-moving acceleration could be considered as an alternative indicator of upper extremity muscular fatigue for computer user. In conclusion, VDTlog monitoring system provided objective and reliable parameters for quantitative evaluation of computer work loading, in terms of use time by different computer input method, i.e., mouse and keyboard, with limited interference to the computer user. Furthermore, VDTlog features a convenient and cost-saving method for upper extremity muscular fatigue evaluation with VDTlog derived parameters, i.e., mouse-moving speed and acceleration. This study demonstrated the feasibility of applying VDTlog monitoring system in work place to evaluate the muscular fatigue of computer users. In the future, it is anticipated to further apply VDTlog monitoring system in large scale study or long term epidemiological surveillance. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T17:25:37Z (GMT). No. of bitstreams: 1 ntu-101-R99841018-1.pdf: 2149300 bytes, checksum: b0b1eecc4fd5680721423eeb8e6ac386 (MD5) Previous issue date: 2012 | en |
dc.description.tableofcontents | 摘要 i
Abstract iii 第一章 緒論 1 1.1 電腦應用概況 1 1.2 研究目的 2 第二章 相關文獻回顧 3 2.1 電腦作業與肌肉骨骼不適之相關性 3 2.2 電腦工作者肌肉骨骼不適之危險因子 3 2.2.1員工個人因子 4 2.2.2 工作相關因子 5 2.2.3 心理社會因子 5 2.2.4工作站因子 5 2.3 常見電腦作業相關之肌肉骨骼不適評估方式 5 2.3.1 自我評估量表 5 2.3.2 肌電圖(Electromyography, EMG) 6 2.3.3 電腦作業活動監測軟體 7 2.3.4 常見電腦作業與肌肉骨骼不適評估相關研究之限制 8 第三章 表面肌電圖與VDTlog軟體記錄之參數相關性研究 9 3.1 研究設計 9 3.2 研究樣本資料和材料的收集 9 3.3 電腦作業環境 9 3.4 實驗工具 10 3.4.1 VDTlog電腦鍵盤滑鼠活動記錄軟體 10 3.4.2 表面肌電圖儀器 14 3.4.2.1表面電極 14 3.4.2.2資料擷取系統 14 3.4.3問卷收集 14 3.5實驗流程 15 3.6 資料處理與分析 17 3.6.1肌電訊號分析 17 3.6.2 統計及分析方法 18 3.7 結果 19 3.7.1 受試者基本資料 19 3.7.2 VDTlog紀錄結果 20 3.7.3 肌電圖量測結果 27 3.7.4 VDTlog軟體與肌電圖量測結果之相關性 29 3.8 討論 35 3.8.1 VDTlog軟體紀錄結果之探討 35 3.8.2肌電圖結果之討論 35 3.8.3 VDTlog與肌電圖合併分析結果之討論 37 3.8.4 研究限制 39 第四章 VDTlog電腦作業記錄軟體實際職場量測評估 40 4.1研究設計 40 4.2研究樣本資料和材料的收集 40 4.3觀察工具 40 4.3.1 VDTlog電腦鍵盤滑鼠活動記錄軟體 40 4.3.2問卷收集 40 4.3.3人體計測及工作站環境量測 41 4.4 收案流程 42 4.5資料處理與分析 43 4.6 結果 45 4.6.1 受試者基本資料 45 4.6.2 電腦使用時間 49 4.6.3 電腦使用時間與自覺症狀關係 49 4.6.4 滑鼠移動速度及加速度 53 4.6.5 電腦使用時間與滑鼠移動速度及加速度關係 55 4.6.6 滑鼠移動速度及加速度和自覺症狀關係 59 4.6.7 其他危險因子 62 4.7 討論 64 4.7.1上肢肌肉骨骼疼痛自覺症狀盛行率 64 4.7.2 電腦使用時間 64 4.7.3 電腦使用時間與自覺症狀關係 64 4.7.4 滑鼠移動速度及加速度變化 65 4.7.5 電腦使用時間與滑鼠移動速度及加速度關係 66 4.7.6 滑鼠移動速度及加速度與自覺症狀關係 67 4.7.7 其他危險因子 68 4.7.8 研究限制 69 第五章 結論 71 參考文獻 72 第六章 附錄 78 6.1 圖 78 6.2 表 84 6.3 附件 85 6.3.1 人因工程實驗受試者同意書及問卷 85 6.3.2 實際職場量測 90 6.3.2.1同意書及問卷 90 6.3.2.2 人體計測及工作站環境量測項目 97 6.3.2.3人體計測及工作站環境量測標準 99 6.3.2.4 VDTlog軟體執行步驟簡易說明 107 | |
dc.language.iso | zh-TW | |
dc.title | 以VDTlog軟體評估電腦工作者上肢肌肉疲勞情形 | zh_TW |
dc.title | Using the VDTlog Software to Evaluate Upper-extremity Musclar Fatigue of Computer Users | en |
dc.type | Thesis | |
dc.date.schoolyear | 100-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 郭育良,梁蕙雯,陸哲駒 | |
dc.subject.keyword | 電腦工作,VDTlog,肌肉疲勞,肌電圖, | zh_TW |
dc.subject.keyword | computer work,VDTlog,muscular fatigue,sEMG, | en |
dc.relation.page | 107 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2012-08-16 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 職業醫學與工業衛生研究所 | zh_TW |
顯示於系所單位: | 職業醫學與工業衛生研究所 |
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